+publisher:"Texas A&M University" +contributor:("Bessler, David")

Texas A&M University

1. Wei, Hanlin. Voluntary Carbon Market Participation and Unintended Consequences: An Economic Analysis.

Degree: MS, Agricultural Economics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/156992

► Agricultural activities account for nearly a quarter of anthropogenic greenhouse gas (GHG) emissions mainly from deforestation and livestock, soil and nutrient management. Also it is… (more)

Subjects/Keywords: climate change; Carbon market; agriculture

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APA (6^th Edition):

Wei, H. (2016). Voluntary Carbon Market Participation and Unintended Consequences: An Economic Analysis. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156992

Chicago Manual of Style (16^th Edition):

Wei, Hanlin. “Voluntary Carbon Market Participation and Unintended Consequences: An Economic Analysis.” 2016. Masters Thesis, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/156992.

MLA Handbook (7^th Edition):

Wei, Hanlin. “Voluntary Carbon Market Participation and Unintended Consequences: An Economic Analysis.” 2016. Web. 04 Mar 2021.

Vancouver:

Wei H. Voluntary Carbon Market Participation and Unintended Consequences: An Economic Analysis. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/156992.

Council of Science Editors:

Wei H. Voluntary Carbon Market Participation and Unintended Consequences: An Economic Analysis. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156992

Texas A&M University

2. Zhang, Yu. The Effectiveness and The Goals of Foreign Aid: An Empirical Examination of Sectoral Aid’s Influence on Mitigating Conflicts and Violence.

Degree: MS, Agricultural Economics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11787

► The objectives of foreign aid are closely associated with the global political and economic issues during the last 60 years. In recent years foreign aid… (more)

Subjects/Keywords: Foreign Aid; Conflict; Violence; Effectiveness

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APA (6^th Edition):

Zhang, Y. (2012). The Effectiveness and The Goals of Foreign Aid: An Empirical Examination of Sectoral Aid’s Influence on Mitigating Conflicts and Violence. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11787

Chicago Manual of Style (16^th Edition):

Zhang, Yu. “The Effectiveness and The Goals of Foreign Aid: An Empirical Examination of Sectoral Aid’s Influence on Mitigating Conflicts and Violence.” 2012. Masters Thesis, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11787.

MLA Handbook (7^th Edition):

Zhang, Yu. “The Effectiveness and The Goals of Foreign Aid: An Empirical Examination of Sectoral Aid’s Influence on Mitigating Conflicts and Violence.” 2012. Web. 04 Mar 2021.

Vancouver:

Zhang Y. The Effectiveness and The Goals of Foreign Aid: An Empirical Examination of Sectoral Aid’s Influence on Mitigating Conflicts and Violence. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11787.

Council of Science Editors:

Zhang Y. The Effectiveness and The Goals of Foreign Aid: An Empirical Examination of Sectoral Aid’s Influence on Mitigating Conflicts and Violence. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11787

Texas A&M University

3. Hardcastle, Mark Jeffery. The Effect of Selective Data Omission on Type I Error Rates: A Simulation Study.

Degree: MS, Agricultural Economics, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/156165

► There do not exist widely accepted guidelines or standards for identification and removal of outlying data in empirical research. There are sometimes significant incentives for… (more)

Subjects/Keywords: Outliers; selective outlier omission; data omission; Monte Carlo simulation; type I error

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APA (6^th Edition):

Hardcastle, M. J. (2015). The Effect of Selective Data Omission on Type I Error Rates: A Simulation Study. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156165

Chicago Manual of Style (16^th Edition):

Hardcastle, Mark Jeffery. “The Effect of Selective Data Omission on Type I Error Rates: A Simulation Study.” 2015. Masters Thesis, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/156165.

MLA Handbook (7^th Edition):

Hardcastle, Mark Jeffery. “The Effect of Selective Data Omission on Type I Error Rates: A Simulation Study.” 2015. Web. 04 Mar 2021.

Vancouver:

Hardcastle MJ. The Effect of Selective Data Omission on Type I Error Rates: A Simulation Study. [Internet] [Masters thesis]. Texas A&M University; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/156165.

Council of Science Editors:

Hardcastle MJ. The Effect of Selective Data Omission on Type I Error Rates: A Simulation Study. [Masters Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156165

Texas A&M University

4. Menzies III, Max Duery. Tuition Elasticity at the College Level and Its Effect on Differential Tuition Rates.

Degree: PhD, Educational Administration, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/169651

► Increasing higher education enrollment and decreasing state and national funding has created a fiscal problem for higher education institutions in the United States. Differential tuition… (more)

▼ Increasing higher education enrollment and decreasing state and national funding has created a fiscal problem for higher education institutions in the United States. Differential tuition charged to a variety of subsets of students is increasingly used to close funding gaps. This research uses demand analysis and elasticities to determine differences between eight colleges at a public university to determine which, if any, should be charging differential tuition. Impacts of potential changes to tuition rates on student access are discussed. Demand equations were created using ordinary least squares for eight colleges, Agriculture, Architecture, Business, Education, Engineering, Geosciences, Liberal Arts, and Sciences, using college applications as the dependent variable and assorted cost and macroeconomic variables as independent variables. A second model was determined using Directed Acyclic Graph theory and used to create a model for to answer policy questions. Own-price elasticities (OPE) calculated from the colleges with significant variables in the policy models ranged from .3 to -1.64. Two colleges showed as elastic, OPE with an absolute value of greater than 1, indicating that a decrease in tuition would increase revenue and enrollments. One college was inelastic, OPE with an absolute value of less than 1, indicating that while an increase in tuition would lower enrollment, it would increase revenue. Engineering had a calculated OPE that was positive, indicating the possibility that demand changed at a faster rate than supply. Charging the correct form of differential tuition at a 10% level change to these colleges could result in over $4 million additional revenue from first-year students alone. It is suggested to consider differential tuition plan based on calculated elasticities to generate more revenue. If implemented, a large percentage of the funds should be used to create institution-level, need-based, financial aid for students from low socioeconomic and minority backgrounds. The aid should be in the form of grants to reduce the risk of students graduating with high student debt. Advisors/Committee Members: Musoba, Glenda (advisor), Bessler, David (committee member), Lechuga, Vicente (committee member), Lincolnd, Yvonna (committee member).

Subjects/Keywords: elasticity of tuition; differential tuition; inelastic tuition; elastic tuition

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APA (6^th Edition):

Menzies III, M. D. (2017). Tuition Elasticity at the College Level and Its Effect on Differential Tuition Rates. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169651

Chicago Manual of Style (16^th Edition):

Menzies III, Max Duery. “Tuition Elasticity at the College Level and Its Effect on Differential Tuition Rates.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/169651.

MLA Handbook (7^th Edition):

Menzies III, Max Duery. “Tuition Elasticity at the College Level and Its Effect on Differential Tuition Rates.” 2017. Web. 04 Mar 2021.

Vancouver:

Menzies III MD. Tuition Elasticity at the College Level and Its Effect on Differential Tuition Rates. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/169651.

Council of Science Editors:

Menzies III MD. Tuition Elasticity at the College Level and Its Effect on Differential Tuition Rates. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169651

Texas A&M University

5. Paukett, Michelle Renee. Revenue Impacts of the 2015 Avian Influenza Virus Outbreak on United States Table Egg Wholesalers.

Degree: MS, Agricultural Economics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/158679

► From December 2014 to June 2015, the U.S. poultry industry experienced an outbreak of highly pathogenic avian influenza (HPAI), resulting in massive bird depopulations. Both… (more)

▼ From December 2014 to June 2015, the U.S. poultry industry experienced an outbreak of highly pathogenic avian influenza (HPAI), resulting in massive bird depopulations. Both turkey and egg producers were impacted and farms affected faced losses from costs of bird disposal and farm repopulation. This study isolates the table egg subsector of the poultry industry and looks at the revenue impact of the AI outbreak at the wholesale level. To determine this revenue impact, a vector error correction model (VECM) was defined and used to generate the counterfactual revenue during the time period the outbreak occurred. This counterfactual revenue was compared to the actual revenue observed during that time period and the difference is the revenue impact due to the outbreak, ceteris paribus. Additionally, machine learning algorithms, using residuals from the VECM, allowed us to determine causal relationships in contemporaneous time among the variables considered within the industry. The results from this study provide us with a better understanding of the table egg industry based on sound econometric modeling and provide a basis for conducting future revenue impact studies for similar events. Our model was developed using eight variables defined by previous studies including the number of hens and eggs, egg price, feed input prices, retail pork and beef prices, and real disposable personal income. After rigorous testing using RATS software, the vector error correction model for forecasting was identified with one lag and two cointegrating vectors. When the counterfactual revenue was compared to the actual revenue from December 2014 to June 2015, a gain of about $676 million to wholesalers was determined to be attributed to the outbreak. Additionally, residual analysis of contemporaneous relationships, as shown by directed acyclic graphs, indicated that egg price is independent of direct production quantities, hens and eggs, but is impacted by production costs such as feed input costs. These results can be accounted for by various factors including the inelasticity of egg price and the imperfectly competitive behavior of the wholesalers. Future studies can use price transmission principles to expand this study and identify AI outbreak impacts at the consumer and producer levels. Advisors/Committee Members: Dharmasena, Senarath (advisor), Bessler, David A (advisor), Coufal, Craig D (committee member).

Subjects/Keywords: Vector Error Correction Model; Revenue Impact; Avian Influenza; Table Eggs; Causality

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APA (6^th Edition):

Paukett, M. R. (2016). Revenue Impacts of the 2015 Avian Influenza Virus Outbreak on United States Table Egg Wholesalers. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158679

Chicago Manual of Style (16^th Edition):

Paukett, Michelle Renee. “Revenue Impacts of the 2015 Avian Influenza Virus Outbreak on United States Table Egg Wholesalers.” 2016. Masters Thesis, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/158679.

MLA Handbook (7^th Edition):

Paukett, Michelle Renee. “Revenue Impacts of the 2015 Avian Influenza Virus Outbreak on United States Table Egg Wholesalers.” 2016. Web. 04 Mar 2021.

Vancouver:

Paukett MR. Revenue Impacts of the 2015 Avian Influenza Virus Outbreak on United States Table Egg Wholesalers. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/158679.

Council of Science Editors:

Paukett MR. Revenue Impacts of the 2015 Avian Influenza Virus Outbreak on United States Table Egg Wholesalers. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158679

Texas A&M University

6. Lee, Sungbok. Essays on the Relationship of Competition and Firms' Price Responses.

Degree: PhD, Economics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8816

► This dissertation investigates the relationship of competition and firms' price responses, by analyzing: i) whether new entry reduces price discrimination, ii) when incumbents reduce price… (more)

▼ This dissertation investigates the relationship of competition and firms' price responses, by analyzing: i) whether new entry reduces price discrimination, ii) when incumbents reduce price discrimination preemptively in response to the threat of entry, and iii) how competition increases prices. The dissertation consists of three independent essays addressing each of the above questions. The first two essays present an empirical analysis of the airline industry and the third essay presents a theoretical analysis of the credit card industry. In the empirical study of the relationship between competition and firms' pricing in the airline industry, I emphasize the importance of distinguishing the equilibrium behaviors with respect to different market characteristics. Major airlines can price discriminate differently in a market where they compete with low-cost carriers comparing to in another market where they don't, and also they can respond dfferently to the threat of entry depending on whether they are certain about the rival's future entry. The study reveals that competition has a positive effect on price discrimination in the routes where major airlines compete against one anther. In these routes, competition reduces lower-end prices to a greater extent than upper-end prices. In contrast, an entry by low-cost carriers results in a significant negative relationship between competition and price discrimination. Thus, the opposite results in the literature are both evident in the airline industry, and it is very important to identify the different forces of competition on price discrimination. Firms can respond to potential competition as well as actual competition. So, I extend the study to the relationship of potential competition and price discrimination, specially in cases where major airlines compete against one another while facing Southwest's threat of entry. I also attempt to suggest major airlines' motives of reducing price discrimination preemptively. The results of the study suggest that incumbents reduce price dispersion when it is possible to deter the rival's entry and that the potential rival discourages incumbents from deterring entry by announcing before its beginning service. Finally, I examine when competition can increase prices in a market, by analyzing the issuing side of the credit card industry. This industry is characterized by a two-sided market with a platform. Under the no-surcharge rule that restricts merchants to set the same price for cash and card purchases, the equilibrium interchange fee increases with competition. This occurs because issuers can compensate losses from competing on the issuing side by collectively increasing the interchange fee. As a result, limiting competition may improve social welfare when the interchange fee is higher than the social optimal level. In contrast, in the absence of the no-surcharge rule, the analysis shows that competition always improves social welfare by lowering the price of the market. Advisors/Committee Members: Li, Qi (advisor), Houghton, Stephanie (committee member), Krasteva, Silvana (committee member), Bessler, David A. (committee member).

Subjects/Keywords: Competition; Price Dispersion; Discrimination; Oligopoly; Competitive-type Price Discrimination; Airline; Major airlines; Low-cost carriers; Threat of Entry; Incumbent; Preemptive; Entry; Accommodation; Deterrence; Pre-announcement; Contestability; Two-sided market; Network Externalities; Credit card; Interchange fee; No-surcharge rule; Platform; Issuer

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APA (6^th Edition):

Lee, S. (2012). Essays on the Relationship of Competition and Firms' Price Responses. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8816

Chicago Manual of Style (16^th Edition):

Lee, Sungbok. “Essays on the Relationship of Competition and Firms' Price Responses.” 2012. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8816.

MLA Handbook (7^th Edition):

Lee, Sungbok. “Essays on the Relationship of Competition and Firms' Price Responses.” 2012. Web. 04 Mar 2021.

Vancouver:

Lee S. Essays on the Relationship of Competition and Firms' Price Responses. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8816.

Council of Science Editors:

Lee S. Essays on the Relationship of Competition and Firms' Price Responses. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8816

Texas A&M University

7. Kibriya, Shahriar. Aid and Peace A Critique of Foreign Assistance, Conflict and Development.

Degree: PhD, Agricultural Economics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688

► In 2000, the World Bank estimated that 2.8 billion people lived on incomes of less than $2.00 a day. Meanwhile about forty percent of the… (more)

▼ In 2000, the World Bank estimated that 2.8 billion people lived on incomes of less than $2.00 a day. Meanwhile about forty percent of the world's population endured conflict, most of them from the same subset. The implementation of foreign assistance to mitigate poverty and conflict is a key focus of politicians, bureaucrats and social scientists. The goal of this research is to discover relationships among foreign aid, conflict, and socio-economic development, and assess the implications. Other evaluations either approach this issue from a hedonistic, theoretical standpoint, or follow a stylized project evaluation method. This research is intended to create a bridge between the two approaches by: 1) proposing theoretical models of assistance and conflict accounting for current status quo, and 2) introducing novel empirical methods to analyze the causes and effects of development, intervention and conflict. The research begins with a comparative analysis of different schools of thought concerning foreign intervention, conflict and development. Contemporary philosophies and policies provide the basis for assumptions and inquiries addressed in the latter part of this dissertation. The review is followed by a critique of relevant data and their sources. A theoretical model of foreign assistance allocation and its possible impacts on conflict is proposed. The theoretical model is verified through an empirical examination using inductive casual inference methods. It is concluded that under current mandates and policies, aggregate foreign assistance has no effect on conflict and development in poor countries. Research is then directed toward analyzing the effect of foreign assistance on conflict, disaggregated by sector. Agricultural and food security assistance were identified as the most effective method of mitigating conflict. The next segments of research concentrate on agricultural development. A model of agricultural development is proposed that will promote food security and mitigate conflict. In the last analysis, a direct causal relationship is found between commodity prices and conflict. Findings are summarized in the conclusion, and recommendations are provided for policy re-evaluations. Advisors/Committee Members: Price, Edwin (advisor), Bessler, David (committee member), Ng, Desmond (committee member), Shinn, Glen (committee member).

Subjects/Keywords: Foreign Aid; Conflict; Development Causality

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APA (6^th Edition):

Kibriya, S. (2012). Aid and Peace A Critique of Foreign Assistance, Conflict and Development. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688

Chicago Manual of Style (16^th Edition):

Kibriya, Shahriar. “Aid and Peace A Critique of Foreign Assistance, Conflict and Development.” 2012. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688.

MLA Handbook (7^th Edition):

Kibriya, Shahriar. “Aid and Peace A Critique of Foreign Assistance, Conflict and Development.” 2012. Web. 04 Mar 2021.

Vancouver:

Kibriya S. Aid and Peace A Critique of Foreign Assistance, Conflict and Development. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688.

Council of Science Editors:

Kibriya S. Aid and Peace A Critique of Foreign Assistance, Conflict and Development. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10688

Texas A&M University

8. Chen, Sihong. Three Essays on Commodity Markets and Health Economics.

Degree: PhD, Agricultural Economics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161409

► This dissertation includes three essays. The first essay examines time-varying nonlinear dependence and asymmetries of commodity futures from 1999 to 2015. We consider several elliptical… (more)

▼ This dissertation includes three essays. The first essay examines time-varying nonlinear dependence and asymmetries of commodity futures from 1999 to 2015. We consider several elliptical copulas with dynamic conditional correlation (DCC) and block dynamic equicorrelation (Block DECO) to capture dependence structure of various commodities across different sectors. Our major findings include: (1) flexible copula specification that allows for multivariate asymmetry and tail dependence appears to have the best model performance in characterizing co-movements of commodity returns. (2) dynamic correlations reveal connectedness degree between commodities has dramatically increased during the financial distress and the European debt crisis, but they declined sharply after 2012 and returned to the precrisis level since. (3) conditional diversification benefit is disappearing and lower tail dependence between commodity markets is much higher in the bearish market. The second essay studies volatility spillover and various connectedness measures for 20 commodity futures from 1996 to 2016. We propose to estimate network connectedness in commodity markets by a previous framework that models direction and magnitude of volatility spillover using reduced-form vector autoregression (VAR) models and generalized forecast error variance decomposition. We find clustering of commodity futures that match their industrial groupings, and energy markets have played a central role in the network in the static analysis. Our dynamic models show that though market interconnections have dramatically increased during the 2007-2009 financial crisis, they have returned to the pre-crisis levels after. We also find that recent downward movement of crude oil prices does not necessarily lead to stronger connectedness between commodity markets. The third essay investigates health economics in developing countries. Obesity and overweight problems have become prevalent in developing countries like China. This paper presents a comprehensive analysis on body mass index (BMI) using a micro-level data of Chinese families. We model the dynamics of BMI determinants spanning from 1991 to 2011 for rural and urban residents. Our identification strategies include: (1) using spousal and parental characteristics as proxy variables to control for omitted variables bias and (2) explicitly modeling common couple effect with correlated random-effects regressions for spousal BMI. Our results find strong and positive spousal/intergenerational transmissions of BMI for families across region and time. Depending on the gender of spouse and grown children, besides transmission effects a variety of socioeconomic variables are identified as significant predictors of individual BMI. Advisors/Committee Members: Wu, Ximing (advisor), Zhang, Yu (advisor), Bessler, David (committee member), Li, Qi (committee member).

Subjects/Keywords: Commodity; Spillover; BMI

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APA (6^th Edition):

Chen, S. (2017). Three Essays on Commodity Markets and Health Economics. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161409

Chicago Manual of Style (16^th Edition):

Chen, Sihong. “Three Essays on Commodity Markets and Health Economics.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/161409.

MLA Handbook (7^th Edition):

Chen, Sihong. “Three Essays on Commodity Markets and Health Economics.” 2017. Web. 04 Mar 2021.

Vancouver:

Chen S. Three Essays on Commodity Markets and Health Economics. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/161409.

Council of Science Editors:

Chen S. Three Essays on Commodity Markets and Health Economics. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161409

Texas A&M University

9. Yi, Jing. Three Essays on Federal Crop Insurance.

Degree: PhD, Agricultural Economics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/174263

► This dissertation evaluates the demand for crop insurance and designs and demonstrates a methodology to estimate the impacts of climate change on the federal crop… (more)

▼ This dissertation evaluates the demand for crop insurance and designs and demonstrates a methodology to estimate the impacts of climate change on the federal crop insurance program (FCIP). An empirical model is built to estimate the demand for corn yield and revenue insurance and wheat yield insurance at each coverage level for the major production regions. Original Least Square regression is used. The results show that the elasticities of demand for federal crop insurance with respect to net premiums are significantly different across crops, coverage levels, insurance plans, and regions. At the 75% coverage level, the elasticity of demand for corn yield and revenue insurance with respect to net premium is -0.654 and -0.670, respectively, in the Southern Plains. The absolute values of the elasticities of demand for corn insurance (0.654 and 0.670) are much higher than the elasticities reported in the majority of the previous studies which do not separate coverage levels and regions in the crop insurance demand analysis. At the 80% coverage level, the elasticity of demand for corn yield insurance with respect to net premium is -0.230, -0.158, and -0.259 in the Corn Belt, Lake States, and Northern Plains, respectively, which are much smaller than the elasticity at the 75% coverage level in the Southern Plains (based on absolute values). For wheat yield insurance, the elasticity of demand with respect to net premium is -0.264 and -0.145 at the 75% coverage level in the Southern Plains and Northern Plains, respectively. In the Northern Plains, wheat producers would reduce their demand for federal yield insurance by 2.610%, 4.800%, and 7.211% at the 70%, 75%, 80% coverage level, respectively, given a 10 percentage points reduction. Producers in the Southern Plains are expected to reduce their demand for federal wheat yield insurance by 3.153% and 2.636% at the 70% and 75% coverage level, respectively, given a 10 percentage points cut in the subsidy rates. A methodology is built and demonstrated to evaluate the impacts of climate change on the FCIP for a representative grain sorghum farm. Different user interfaces of the APEX model are use to simulate crop yields for a representative farm. The simulated yields are further used to calculate the representative farm’s insurance premiums, indemnities, and loss ratios. The results indicate that the approved APH yields and federal yield protection insurance premiums would decrease as the grain sorghum yields trend to decrease as climate change continues. Federal crop insurance loss ratios are statistically different in year 2020, 2030, and 2040 for each climate change scenario. Therefore, which climate change scenario is assumed for analyses of the impacts of climate change on the FCIC would result in statistically different conclusions. The study also shows that the efficiency of the current APH formula will not be negated by climate change since no extreme yield change occurs during 2020 – 2040 based on the climate change forecasts. Advisors/Committee Members: Richardson, James W. (advisor), Bryant, Henry L. (advisor), Outlaw, Joe (committee member), Bessler, David (committee member).

Subjects/Keywords: Crop Insurance; demand; climate change; loss ratios

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APA (6^th Edition):

Yi, J. (2016). Three Essays on Federal Crop Insurance. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174263

Chicago Manual of Style (16^th Edition):

Yi, Jing. “Three Essays on Federal Crop Insurance.” 2016. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/174263.

MLA Handbook (7^th Edition):

Yi, Jing. “Three Essays on Federal Crop Insurance.” 2016. Web. 04 Mar 2021.

Vancouver:

Yi J. Three Essays on Federal Crop Insurance. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/174263.

Council of Science Editors:

Yi J. Three Essays on Federal Crop Insurance. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174263

Texas A&M University

10. An, Hyunjin. Three Essays on Climate Change, Pine Beetle Risk, Forest Productivity and Forestland Value.

Degree: PhD, Ecosystem Science and Management, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/156233

► U.S. Forests are under significant pressure from global climate change. This study investigates the impact of climate change on U.S. forest at various aspects. In… (more)

▼ U.S. Forests are under significant pressure from global climate change. This study investigates the impact of climate change on U.S. forest at various aspects. In the first essay, I use a generalized linear model to examine how climatic conditions have influenced southern pine beetle (SPB; Dendroctonus frontalis Zimmermann) outbreaks in the southern U.S. and project future SPB infestations using the future climates projected by Global Climate models (GCMs). The estimation results indicate that climate significantly affects SPB outbreaks, but projected future SPB infestation would not move in one direction under the complex interactions between temperature and precipitation and the magnitude of damages would vary across the region. In the second essay, I use panel data analysis with various climate and spatial characteristic variables to investigate the effects of CO2 fertilization and climate variables on forest productivity across the U.S. The results from the second essay indicate that there is a significant correlation between climate variables and forest productivity. Also, projected global climate change would enhance future forest productivity in the South, the Pacific Coastal, and the northern Great Plains of the U.S. but likely threaten forest productivity in some regions such as the southern Great Plains. In the third essay, I investigate how forest carbon credits and SPB risk associated with climate change affect individual landowner’s decision making using a real options framework. The results of the third essay reveal that carbon sequestration would increase the value of standing forests, whereas higher SPB risk associated with climate change would reduce the forest value. The higher value of standing forests would encourage the landowners to delay timber harvest. Overall results of this study show that climate change will have a mixed impact on U.S. forests, which requires region-specific adaptation and mitigation strategies. Advisors/Committee Members: Gan, Jianbang (advisor), Bessler, David (committee member), Conner, J. Richard (committee member), Mjelde, James (committee member).

Subjects/Keywords: Climate change; Southern Pine Beetle; Forest productivity; Real option

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APA (6^th Edition):

An, H. (2015). Three Essays on Climate Change, Pine Beetle Risk, Forest Productivity and Forestland Value. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156233

Chicago Manual of Style (16^th Edition):

An, Hyunjin. “Three Essays on Climate Change, Pine Beetle Risk, Forest Productivity and Forestland Value.” 2015. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/156233.

MLA Handbook (7^th Edition):

An, Hyunjin. “Three Essays on Climate Change, Pine Beetle Risk, Forest Productivity and Forestland Value.” 2015. Web. 04 Mar 2021.

Vancouver:

An H. Three Essays on Climate Change, Pine Beetle Risk, Forest Productivity and Forestland Value. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/156233.

Council of Science Editors:

An H. Three Essays on Climate Change, Pine Beetle Risk, Forest Productivity and Forestland Value. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156233

Texas A&M University

11. Eun, Sungtae. The Impact of the Tōhoku Earthquake on Greenhouse Gas Emission of Japan: A Synthetic Control Method Study.

Degree: MS, Agricultural Economics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/174283

► The synthetic control method (SCM) has been used to assess the impact of a natural disaster, conflict, and political change. The SCM shows an efficient… (more)

Subjects/Keywords: Synthetic Control Method; Natural disaster; Nuclear disaster; Fukushima disaster; Causal inference

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APA (6^th Edition):

Eun, S. (2016). The Impact of the Tōhoku Earthquake on Greenhouse Gas Emission of Japan: A Synthetic Control Method Study. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174283

Chicago Manual of Style (16^th Edition):

Eun, Sungtae. “The Impact of the Tōhoku Earthquake on Greenhouse Gas Emission of Japan: A Synthetic Control Method Study.” 2016. Masters Thesis, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/174283.

MLA Handbook (7^th Edition):

Eun, Sungtae. “The Impact of the Tōhoku Earthquake on Greenhouse Gas Emission of Japan: A Synthetic Control Method Study.” 2016. Web. 04 Mar 2021.

Vancouver:

Eun S. The Impact of the Tōhoku Earthquake on Greenhouse Gas Emission of Japan: A Synthetic Control Method Study. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/174283.

Council of Science Editors:

Eun S. The Impact of the Tōhoku Earthquake on Greenhouse Gas Emission of Japan: A Synthetic Control Method Study. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174283

Texas A&M University

12. Fang, Lu. Three Essays on Time Series Analysis of Chinese Financial Markets.

Degree: PhD, Agricultural Economics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/161318

► This dissertation studies three important issues in Chinese financial markets. The interdependence structure and information transmission among Chinese cross-listed stocks in Shanghai, Hong Kong and… (more)

▼ This dissertation studies three important issues in Chinese financial markets. The interdependence structure and information transmission among Chinese cross-listed stocks in Shanghai, Hong Kong and New York is examined. Results indicate that the home bias hypothesis, which suggests the dominant role of home market in pricing information transmission, is strongly supported in contemporaneous time, modestly supported at the short horizon and not supported at the long horizon. The Shanghai market as the home market is highly exogenous at all horizons. Moreover, the Hong Kong market leads the New York market in contemporaneous time. Whether interest rates help to forecast stock returns in China is studied using the prequential approach. With respect to calibration (reliability), it is found that including interest rates in the model improves the model’s ability to issue realistic probability forecasts of stock returns – a model of stock returns that does not include interest rates as an explanatory variable is not as well calibrated as a model that does include interest rates in the stock returns equation. With regard to sorting (resolution), results suggest that the model that includes interest rates performs better in distinguishing stock returns that actually occur and stock returns that do not occur when compared to a model that does not include interest rates in the stock returns equation. Overall, the interest rates help in forecasting stock returns in China in terms of both calibration and sorting. Two factor analysis methods are investigated through forecasting Chinese interest rate based on a factor-augmented vector autoregression (FAVAR). Factors are estimated from 288 Chinese security series to reflect the common forces that drive the movements and dynamics in the Chinese equity market. As a result, the factor estimation method by Lam and Yao outperforms the traditional principal components analysis (PCA) in terms of forecasting accuracy, especially at the short horizons. Advisors/Committee Members: Bessler, David (advisor), Wu, Ximing (committee member), Bryant, Henry (committee member), Leatham, David (committee member).

Subjects/Keywords: Time series; Chinese financial markets

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APA (6^th Edition):

Fang, L. (2017). Three Essays on Time Series Analysis of Chinese Financial Markets. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161318

Chicago Manual of Style (16^th Edition):

Fang, Lu. “Three Essays on Time Series Analysis of Chinese Financial Markets.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/161318.

MLA Handbook (7^th Edition):

Fang, Lu. “Three Essays on Time Series Analysis of Chinese Financial Markets.” 2017. Web. 04 Mar 2021.

Vancouver:

Fang L. Three Essays on Time Series Analysis of Chinese Financial Markets. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/161318.

Council of Science Editors:

Fang L. Three Essays on Time Series Analysis of Chinese Financial Markets. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161318

Texas A&M University

13. Zhang, Yu. Three Essays on Civil Conflict.

Degree: PhD, Agricultural Economics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/166058

► This dissertation consists of three essays investigating the determinants of civil conflict from the aspects of history, geography, and external assistance, respectively. Each of the… (more)

▼ This dissertation consists of three essays investigating the determinants of civil conflict from the aspects of history, geography, and external assistance, respectively. Each of the essays uses empirical economic techniques to analyze how these factors affect the spatial and temporal distributions of modern conflict events. I explore the long-run effects of slave trade on conflict in Africa. By using a geo-coded disaggregated dataset in sub-Saharan Africa and exploiting variation of slave trade intensity within countries, I find a robust positive relationship between slave exports from a region and current conflict prevalence. Evidence from an instrumental variable approach suggests that the relationship is causal. I then discuss the potential causal channels underlying the relationship, suggesting that slave trade is correlated with mistrust, local institution deterioration, and a weaker sense of national identity. I then examine how slave trade in history affects the relationship between weather shock and civil conflict. Exploiting weather variation during the growing season of the locally dominant crop, I find that adverse weather shock significantly increases the likelihood of conflict incidence, onset, and intensity. Furthermore, the effect of weather shock on the risk of civil conflict is substantially amplified by the exposure to slave trade. I also study the dynamic interdependences among foreign aid, development, and conflict. Although foreign aid is sensitively responsive to the conflict or development shock, its effects on reducing conflict and improving development are largely dependent on the wealth level and conflict proneness of the recipient country. I find that foreign aid only mitigates conflict in middle income developing countries, but can enhance the development of the poor and conflict-prone countries. Advisors/Committee Members: Price, Edwin (advisor), Bessler, David (advisor), Palma, Marco (committee member), Stevens, Reid (committee member).

Subjects/Keywords: Civil Conflict; Slave Trade; Weather Shock; Foreign Aid

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APA (6^th Edition):

Zhang, Y. (2017). Three Essays on Civil Conflict. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166058

Chicago Manual of Style (16^th Edition):

Zhang, Yu. “Three Essays on Civil Conflict.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/166058.

MLA Handbook (7^th Edition):

Zhang, Yu. “Three Essays on Civil Conflict.” 2017. Web. 04 Mar 2021.

Vancouver:

Zhang Y. Three Essays on Civil Conflict. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/166058.

Council of Science Editors:

Zhang Y. Three Essays on Civil Conflict. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166058

Texas A&M University

14. Collart Dinarte, Alba Jeanette. Econometric Methods to Analyze Consumer Behavior Using Hypothetical and Non-hypothetical Approaches.

Degree: PhD, Agricultural Economics, 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151878

► This dissertation examines consumer behavior using hypothetical and non-hypothetical approaches. Across the study, emphasis is made on brand awareness and Willingness-to-Pay (WTP) measures of consumer… (more)

▼ This dissertation examines consumer behavior using hypothetical and non-hypothetical approaches. Across the study, emphasis is made on brand awareness and Willingness-to-Pay (WTP) measures of consumer preferences and the measurement of unobserved individual heterogeneity in the econometric analysis of consumer valuations. The methodologies used to elicit valuations and gather consumer preferences are hypothetical and non-hypothetical. The statistical tools used to analyze these data include econometric models for categorical and limited dependent variables, linear and non-linear random parameters models, and Latent Class Analysis (LCA). The first essay evaluates the effectiveness of a point-of-purchase advertising program conducted for two local horticultural brands. Results based on electronic surveys gathered before and after the program was launched suggest that the campaign size was not sufficient to significantly increase brand awareness and overall demand, yet it increased WTP by 5.5% for those consumers aware of one of the brands. A major factor found to influence preferences was purchase frequency, which suggests that other advertising methods aimed to increase buying frequency might affect demand more effectively. The second essay involved the econometric analysis of data collected using experimental auctions, which are often multidimensional. Panel data models commonly used consider bid-censoring and random effects that capture heterogeneity in the intercepts, but overlook heterogeneity in the coefficients. This essay compares different models, and provides evidence that a Random Parameters Tobit model extends the measurement of heterogeneity, accounts for bid-censoring, and provides the most efficient and consistent estimates. When the model is applied to data collected in a non-hypothetical Vickrey auction to elicit WTP for government (Food Safety Modernization Act, FSMA) and industry-issued (Global GAP) food safety standards in specialty melons, findings indicate that valuations are censored and heterogeneous. Finally, heterogeneity in valuations is assumed to occur discretely. Using a LCA approach, an examination was done to segment consumers based on their unobserved motivation to participate in experimental auctions. Moreover, Random Effects Tobit models are estimated to investigate differences in WTP among latent classes. The three latent classes found were characterized as: “Fee-Chasers”, “Certification Conscious”, and “Taste Conscious”. Results reveal that the classes differed significantly in terms of their WTP estimates. Advisors/Committee Members: Palma, Marco A (advisor), Bessler, David (committee member), Hall, Charles (committee member), Williams, Gary (committee member).

Subjects/Keywords: Promotion Effectiveness; Experimental Auctions; Unobserved Individual Heterogeneity; Random Parameters Tobit; Latent Class Analysis

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APA (6^th Edition):

Collart Dinarte, A. J. (2013). Econometric Methods to Analyze Consumer Behavior Using Hypothetical and Non-hypothetical Approaches. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151878

Chicago Manual of Style (16^th Edition):

Collart Dinarte, Alba Jeanette. “Econometric Methods to Analyze Consumer Behavior Using Hypothetical and Non-hypothetical Approaches.” 2013. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/151878.

MLA Handbook (7^th Edition):

Collart Dinarte, Alba Jeanette. “Econometric Methods to Analyze Consumer Behavior Using Hypothetical and Non-hypothetical Approaches.” 2013. Web. 04 Mar 2021.

Vancouver:

Collart Dinarte AJ. Econometric Methods to Analyze Consumer Behavior Using Hypothetical and Non-hypothetical Approaches. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/151878.

Council of Science Editors:

Collart Dinarte AJ. Econometric Methods to Analyze Consumer Behavior Using Hypothetical and Non-hypothetical Approaches. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151878

Texas A&M University

15. Li, Yarui. Analysis of The Housing Market in the Metropolitan Areas in the United States.

Degree: PhD, Agricultural Economics, 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/151894

► The housing market plays a significant role in shaping the economic and social well-being of U.S. households. It helps spur U.S. economic growth when house… (more)

▼ The housing market plays a significant role in shaping the economic and social well-being of U.S. households. It helps spur U.S. economic growth when house prices rise, and drags the economic growth when house prices drop. In this dissertation, an analysis is conducted to project the direction of the U.S. housing market and to discover how it interacts with economic fundamentals. New pieces of information are found, which are deemed to facilitate decision making for both policy makers and investors. In the first part of the dissertation, the groupings of U.S. housing markets are studied using cluster and discriminant analysis. Three clusters are found, which are located in the central, the east coast, and the west coast of US. There are no price signals transmitted among these housing market clusters, nor within each cluster. Thus, the communication of information in the housing market is through the process of utility convergence of marginal residents, and no price convergence across regions is found. Next, the impact of credit constraint on the house prices is examined with the stochastic components of the price series being considered. Both a simulation technique and a DAG approach are employed. The resulting causal pattern shows that credit constraints affect the house prices directly and positively. Moreover, credit constraints work as an intermediary, passing the influence of the house investor, household income, and user cost onto house prices, which suggests that the credit relaxation policy should be carried out with caution when house inventory and household income send inconsistent signals. Last, the model selection for house price analysis is discussed from the perspective of large-scale models—dynamic factor (DFM) model and large-scale Bayesian VAR (LBVAR) model. The LBVAR models are found to have superior performance compared to the DFM model throughout the prediction period. Also, it is found that the combined forecasts do not necessarily outperform individual forecasts. Even though independent information from different individual models improves the forecast accuracy, the benefit gained from marginal information is offset by the larger error brought by such combination. Advisors/Committee Members: Leatham, David J (advisor), Bessler, David (committee member), Wu, Ximing (committee member), Li, Qi (committee member).

Subjects/Keywords: Housing Market; DAG; Large-scale Model

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APA (6^th Edition):

Li, Y. (2013). Analysis of The Housing Market in the Metropolitan Areas in the United States. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151894

Chicago Manual of Style (16^th Edition):

Li, Yarui. “Analysis of The Housing Market in the Metropolitan Areas in the United States.” 2013. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/151894.

MLA Handbook (7^th Edition):

Li, Yarui. “Analysis of The Housing Market in the Metropolitan Areas in the United States.” 2013. Web. 04 Mar 2021.

Vancouver:

Li Y. Analysis of The Housing Market in the Metropolitan Areas in the United States. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/151894.

Council of Science Editors:

Li Y. Analysis of The Housing Market in the Metropolitan Areas in the United States. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151894

Texas A&M University

16. Sánchez Aragón, Leonardo F. Addressing Practical Issues in Designing Weather Insurance Contracts for Risk Management Applications in Developing Countries.

Degree: PhD, Agricultural Economics, 2014, Texas A&M University

URL: http://hdl.handle.net/1969.1/152664

► In this dissertation we address practical issues in designing weather insurance contracts for risk management in developing countries in three different scenarios. First, we develop… (more)

▼ In this dissertation we address practical issues in designing weather insurance contracts for risk management in developing countries in three different scenarios. First, we develop an innovative contract design strategy based on agronomic considerations that can be implemented in situations where only short and/or aggregate data series are available. We attempt to mitigate both the aggregate nature of yield data and the need for data-demanding analysis by looking at areas sharing the same growing conditions and using agronomic requirements to specify contract parameters. We find that the proposed contracts do not achieve the same degree of risk reduction as the contracts that can be constructed using no data limitations, but they do provide meaningful risk protection and typically at lower premiums. The implication is that the proposed methodology can be used to design weather derivatives for developing countries, where paucity of data often renders the conventional design approaches unworkable. The second essay aims to derive a general-form optimal payoff of an index contract that takes into account potentially nonlinear dependence between the index underlying the contract and the loss that is insured. We find that the quasi-linear contract payoff structure may not be the optimal choice if the dependence between the index and the yield/revenue is nonlinear. The implication is that the proposed methodology can help to improve risk-reducing capabilities of weather derivatives particularly in situations where the effect of weather on yield is complex and not obvious. The third essay analyzes the use of weather derivatives in managing water supply risk arising in making water allocation decisions. The specific application is developed for the Alto Rio Lerma Irrigation District (ARLID) in the state of Guanajuato in Mexico. We argue that incorporation of weather derivatives in water allocation decisions can improve overall well-being of producers and allow shift water allocations from the wet to the dry season with the assumption that the wet season farmers can cope with the risk of water shortages by using weather derivatives. We find that use of weather derivatives does lead to better water allocation policies that allow the representative farmer to reach higher levels of utility. The implication is that introduction of weather derivatives can help to improve water management decisions in developing countries where agriculture heavily depends on irrigation and can be severely affected by extreme weather events. Advisors/Committee Members: Vedenov, Dmitry (advisor), Bessler, David (committee member), Li, Qi (committee member), Welch, Mark (committee member).

Subjects/Keywords: Index insurance contracts; agronomic contract; optimal index insurance; water allocation; copula estimation; bellman equation

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APA (6^th Edition):

Sánchez Aragón, L. F. (2014). Addressing Practical Issues in Designing Weather Insurance Contracts for Risk Management Applications in Developing Countries. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152664

Chicago Manual of Style (16^th Edition):

Sánchez Aragón, Leonardo F. “Addressing Practical Issues in Designing Weather Insurance Contracts for Risk Management Applications in Developing Countries.” 2014. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/152664.

MLA Handbook (7^th Edition):

Sánchez Aragón, Leonardo F. “Addressing Practical Issues in Designing Weather Insurance Contracts for Risk Management Applications in Developing Countries.” 2014. Web. 04 Mar 2021.

Vancouver:

Sánchez Aragón LF. Addressing Practical Issues in Designing Weather Insurance Contracts for Risk Management Applications in Developing Countries. [Internet] [Doctoral dissertation]. Texas A&M University; 2014. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/152664.

Council of Science Editors:

Sánchez Aragón LF. Addressing Practical Issues in Designing Weather Insurance Contracts for Risk Management Applications in Developing Countries. [Doctoral Dissertation]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152664

Texas A&M University

17. Jiang, Shenzhe. Essays on Economic Dynamics.

Degree: PhD, Economics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/166020

► The dissertation includes two sections, which apply dynamic economic models to study different economic issues. The Section Two studies the optimal design of the Pacific… (more)

Subjects/Keywords: Dynamic Model; Contract Theory; Asset Pricing

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APA (6^th Edition):

Jiang, S. (2017). Essays on Economic Dynamics. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166020

Chicago Manual of Style (16^th Edition):

Jiang, Shenzhe. “Essays on Economic Dynamics.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/166020.

MLA Handbook (7^th Edition):

Jiang, Shenzhe. “Essays on Economic Dynamics.” 2017. Web. 04 Mar 2021.

Vancouver:

Jiang S. Essays on Economic Dynamics. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/166020.

Council of Science Editors:

Jiang S. Essays on Economic Dynamics. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166020

Texas A&M University

18. Xu, Jin. Essays in Financial Econometric Investigations of Farmland Valuations.

Degree: PhD, Agricultural Economics, 2013, Texas A&M University

URL: http://hdl.handle.net/1969.1/150974

► This dissertation consists of three essays wherein tools of financial econometrics are used to study the three aspects of farmland valuation puzzle: short-term boom-bust cycles,… (more)

▼ This dissertation consists of three essays wherein tools of financial econometrics are used to study the three aspects of farmland valuation puzzle: short-term boom-bust cycles, overpricing of farmland, and inconclusive effects of direct government payments. Essay I addresses the causes of unexplained short-term boom-bust cycles in farmland values in a dynamic land pricing model (DLPM). The analysis finds that gross return rate of farmland asset decreases as the farmland asset level increases, and that the diminishing return function of farmland asset contributes to the boom-bust cycles in farmland values. Furthermore, it is mathematically proved that land values are potentially unstable under diminishing return functions. We also find that intertemporal elasticity of substitution, risk aversion, and transaction costs are important determinants of farmland asset values. Essay II examines the apparent overpricing of farmland by decomposing the forecast error variance of farmland prices into forward looking and backward looking components. The analysis finds that in the short run, the forward looking Capital Asset Pricing Model (CAPM) portion of the forecast errors are significantly higher in a boom or bust stage than in a stable stage. This shows that the farmland market absorbs economic information in a discriminative manner according to the stability of the market, and the market (and actors therein) responds to new information gradually as suggested by the theory. This helps to explain the overpricing of farmland, but this explanation works primarily in the short run. Finally, essay III investigates the duel effects of direct government payments and climate change on farmland values. This study uses a smooth coefficient semi-parametric panel data model. The analysis finds that land valuation is affected by climate change and government payments, both through discounted revenues and through effects on the risk aversion of land owners. This essay shows that including heterogeneous risk aversion is an efficient way to mitigate the impacts of misspecifications in a DLPM, and that precipitation is a good explanatory variable. In particular, precipitation affects land values in a bimodal manner, indicating that farmland prices could have multiple peaks in precipitation due to adaption through crop selection and technology alternation. Advisors/Committee Members: Bessler, David (advisor), McCarl, Bruce A (advisor), Wu, Ximing (committee member), Li, Qi (committee member).

Subjects/Keywords: Financial Econometrics; Time Series; Forecast Error Variance Decomposition; Panel Data; Generalized Method of Moments; Seemingly Unrelated Regression; Semi-Parametric; Farmland Valuation; Equity Puzzle; Boom-Bust Cycles; Market Behavior; Economic Value of Information; Direct Government Payments; Climate Change; Policy Analysis

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APA (6^th Edition):

Xu, J. (2013). Essays in Financial Econometric Investigations of Farmland Valuations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/150974

Chicago Manual of Style (16^th Edition):

Xu, Jin. “Essays in Financial Econometric Investigations of Farmland Valuations.” 2013. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/150974.

MLA Handbook (7^th Edition):

Xu, Jin. “Essays in Financial Econometric Investigations of Farmland Valuations.” 2013. Web. 04 Mar 2021.

Vancouver:

Xu J. Essays in Financial Econometric Investigations of Farmland Valuations. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/150974.

Council of Science Editors:

Xu J. Essays in Financial Econometric Investigations of Farmland Valuations. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/150974

Texas A&M University

19. Hagerman, Amy Deann. Essays on Modeling the Economic Impacts of a Foreign Animal Disease on the United States Agricultural Sector.

Degree: PhD, Agricultural Economics, 2011, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7503

► Foreign animal disease can cause serious damage to the United States (US) agricultural sector and foot-and-mouth disease (FMD), in particular, poses a serious threat. FMD… (more)

▼ Foreign animal disease can cause serious damage to the United States (US) agricultural sector and foot-and-mouth disease (FMD), in particular, poses a serious threat. FMD causes death and reduced fecundity in infected animals, as well as significant economic consequences. FMD damages can likely be reduced through implementing pre-planned response strategies. Empirical studies have evaluated the economic consequences of alternative strategies, but typically employ simplified models. This dissertation seeks to improve US preparedness for avoiding and/or responding to an animal disease outbreak by addressing three issues related to strategy assessment in the context of FMD: integrated multi region economic and epidemic evaluation, inclusion of risk, and information uncertainty. An integrated economic/epidemic evaluation is done to examine the impact of various control strategies. This is done by combining a stochastic, spatial FMD simulation model with a national level, regionally disaggregated agricultural sector mathematical programming economic model. In the analysis, strategies are examined in the context of California's dairy industry. Alternative vaccination, disease detection and movement restriction strategies are considered as are trade restrictions. The results reported include epidemic impacts, national economic impacts, prices, regional producer impacts, and disease control costs under the alternative strategies. Results suggest that, including trade restrictions, the median national loss from the disease outbreak is as much as $17 billion when feed can enter the movement restriction zone. Early detection reduces the median loss and the standard deviation of losses. Vaccination does not reduce the median disease loss, but does have a smaller standard deviation of loss which would indicate it is a risk reducing strategy. Risk in foreign animal disease outbreaks is present from several sources; however, studies comparing alternative control strategies assume risk neutrality. In reality, there will be a desire to minimize the national loss as well as minimize the chance of an extreme outcome from the disease (i.e. risk aversion). We perform analysis on FMD control strategies using breakeven risk aversion coefficients in the context of an outbreak in the Texas High Plains. Results suggest that vaccination while not reducing average losses is a risk reducing strategy. Another issue related to risk and uncertainty is the response of consumers and domestic markets to the presence of FMD. Using a highly publicized possible FMD outbreak in Kansas that did not turn out to be true, we examine the role of information uncertainty in futures market response. Results suggest that livestock futures markets respond to adverse information even when that information is untrue. Furthermore, the existence of herding behavior and potential for momentum trading exaggerate the impact of information uncertainty related to animal disease. Advisors/Committee Members: McCarl, Bruce A. (advisor), Bessler, David (committee member), Jin, Yanhong (committee member), Norby, Bo (committee member).

Subjects/Keywords: economics; foot-and-mouth disease; economic/epidemic modeling; risk; uncertainty; livestock markets

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APA (6^th Edition):

Hagerman, A. D. (2011). Essays on Modeling the Economic Impacts of a Foreign Animal Disease on the United States Agricultural Sector. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7503

Chicago Manual of Style (16^th Edition):

Hagerman, Amy Deann. “Essays on Modeling the Economic Impacts of a Foreign Animal Disease on the United States Agricultural Sector.” 2011. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7503.

MLA Handbook (7^th Edition):

Hagerman, Amy Deann. “Essays on Modeling the Economic Impacts of a Foreign Animal Disease on the United States Agricultural Sector.” 2011. Web. 04 Mar 2021.

Vancouver:

Hagerman AD. Essays on Modeling the Economic Impacts of a Foreign Animal Disease on the United States Agricultural Sector. [Internet] [Doctoral dissertation]. Texas A&M University; 2011. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7503.

Council of Science Editors:

Hagerman AD. Essays on Modeling the Economic Impacts of a Foreign Animal Disease on the United States Agricultural Sector. [Doctoral Dissertation]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7503

Texas A&M University

20. Navas Alban, Paul. Estimation of Policy Effects and Counterfactual Distributions: An Application to Food Security Analysis in Mexico.

Degree: PhD, Agricultural Economics, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/155746

► The analysis of the effects of a policy and the factors that mediated those effects are among the core objectives of the economic science. The… (more)

▼ The analysis of the effects of a policy and the factors that mediated those effects are among the core objectives of the economic science. The aim of this investigation is to present a recent methodological breakthrough in this field named distribution regression and to use it conjointly with causal analysis, to estimate the effects of a policy. The novelty relies in the estimation not only of the expectation of the difference between observed and counterfactual outcome, the usual Average Treatment Effect, but of the entire distribution of this counterfactual random variable and its distribution as a stochastic process. This estimation uses tools stemming from the field of Empirical Processes, to allow for the estimation of these counterfactual distributions, which will be supported with the methods of machine learning and causal analysis to tackle the problem of the causality structure among a set of variables and to attempt to justify the causal interpretation of the counterfactual distributions obtained. These new tools of policy analysis are applied to the 2012 avian flu outbreak in Mexico in July. The variable of interest in the analysis is the food security of the population, with the research question driving this application being whether there was a negative effect in the nutritional status of the population, in particular that of rural areas, once other factors such as household expenditure, educational status and others have been controlled for; estimating counterfactual distributions of what would have happened to the whole and to specific portions of the population had the outbreak not occurred finds that the average treatment effect is significant, both for the before and after comparison and for the rural and urban comparison in the expected way, with the outbreak reducing the food security of the population, with factors as the number of household members, whether the family experienced a set-back and the gender of the provider being the driving forces. Another set of findings shows that it is not possible to conclude that the effects are heterogeneous on the population, since the quantile treatment effects are not statistically significant using uniform confidence intervals for any of the different setups investigated. Advisors/Committee Members: Bessler, David (advisor), Wu, Ximing (committee member), Leatham, David (committee member), Xu, Ke-li (committee member).

Subjects/Keywords: counterfactual distributions; policy analysis

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APA (6^th Edition):

Navas Alban, P. (2015). Estimation of Policy Effects and Counterfactual Distributions: An Application to Food Security Analysis in Mexico. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155746

Chicago Manual of Style (16^th Edition):

Navas Alban, Paul. “Estimation of Policy Effects and Counterfactual Distributions: An Application to Food Security Analysis in Mexico.” 2015. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/155746.

MLA Handbook (7^th Edition):

Navas Alban, Paul. “Estimation of Policy Effects and Counterfactual Distributions: An Application to Food Security Analysis in Mexico.” 2015. Web. 04 Mar 2021.

Vancouver:

Navas Alban P. Estimation of Policy Effects and Counterfactual Distributions: An Application to Food Security Analysis in Mexico. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/155746.

Council of Science Editors:

Navas Alban P. Estimation of Policy Effects and Counterfactual Distributions: An Application to Food Security Analysis in Mexico. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155746

Texas A&M University

21. Zhou, Song. Three Essays on Development Economics.

Degree: PhD, Agricultural Economics, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/174025

► The first essay estimates the effect of the "Program of College Admission for Poor Counties" on high school education using data of 86 counties of… (more)

▼ The first essay estimates the effect of the "Program of College Admission for Poor Counties" on high school education using data of 86 counties of Gansu province in northwestern China. Applying a difference-in-differences approach, we show that the program significantly increases senior high school entrants by 99-224, and enrollments by 317-586 in per 100,000 population in the poor counties in Gansu after the policy started in 2012. Using the alternative measurement of outcomes, we show that it significantly increases entry rate by 1.3-7.6%, and enrollment rate by 1.2-7.3%. The results are robust to alternative model specifications and outcome measurements. Our findings indicate that this admission policy, which is motivated by addressing unequal access to college, effectively improves schooling at the high school level. The second essay estimates the effects of housing demolition on household labor supply and saving behavior in China, using panel data from the China Household Finance Survey (CHFS) from 2013 to 2017. Applying a difference-in-differences approach, we show that households significantly increase their saving rate after housing demolition. However, there is no significant effect on the labor supply of the household head. In addition, we examine the mechanism that drives the variation of the adjustment of household economic behavior. The demolished households with household head working in non-state sector increase the saving rate and labor supply relative to those working in the state sector. Also, the households receiving monetary compensation increase saving rate, relative to those with other compensation packages, such as floor area. Our findings indicate that the housing demolition, as a significant disruption during the life course of a relocated household, effectively changes the household saving behavior. The third essay examines the impact of students’ perception of school safety on standardized learning outcomes using data from Rwanda. The results show that students who feel unsafe at school exhibit academic performance significantly worse than those who feel safe, in both mathematics and reading exams, conditional on learning practices, as well as student, teacher, school, and family level characteristics. The findings reveal significant policy implication that addressing the school safety issue is critical for realizing the full potential of students at primary schools in Rwanda. Advisors/Committee Members: Wu, Ximing (advisor), Zhang, Yu (advisor), Bessler, David (committee member), Mu, Ren (committee member).

Subjects/Keywords: Education Inequality; Poverty; College Access; High School; China; Housing Demolition; Labor Supply; Saving; Compensation; School Safety; Academic Performance; Propensity Score Matching; Doubly Robust Estimator; Rwanda

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APA (6^th Edition):

Zhou, S. (2018). Three Essays on Development Economics. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174025

Chicago Manual of Style (16^th Edition):

Zhou, Song. “Three Essays on Development Economics.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/174025.

MLA Handbook (7^th Edition):

Zhou, Song. “Three Essays on Development Economics.” 2018. Web. 04 Mar 2021.

Vancouver:

Zhou S. Three Essays on Development Economics. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/174025.

Council of Science Editors:

Zhou S. Three Essays on Development Economics. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174025

Texas A&M University

22. Wang, Zidong. Three Essays on Climate Change, Renewable Energy and Agriculture in the US.

Degree: PhD, Agricultural Economics, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/173636

► This dissertation contains three essays. The first essay addresses climate impacts on agricultural yields. One practical difficulty in estimating climate impacts is the presence of… (more)

▼ This dissertation contains three essays. The first essay addresses climate impacts on agricultural yields. One practical difficulty in estimating climate impacts is the presence of regionally correlated but omitted factors such as solar radiation and wind speed. Typical panel estimations account for time invariant omitted variables, but do not handle time varying ones that are regionally correlated. To overcome this, an estimation approach incorporating spatial structure is used. We find that the resultant estimates exhibit improved out-of-sample prediction accuracy compared with conventional panel model results but still reveal basic findings found elsewhere in the literature on relationships between temperature and crop yield. The second essay is about projection of biofuel production and practical considerations involving expensive biorefineries. Many analyses addressing national level expanded biofuel production exhibit unrealistic, time varying locations of facilities. Namely, once built biorefineries are fixed in location, technology and general class of feedstocks they use but these studies ignore such facts. To examine the implications, we do a market penetration analysis with and without that fixity. We find that neglecting asset fixity leads to upwardly biased projections of ethanol attractiveness, as well as unrealistic production variations over time and space. In particular, when asset fixity is considered the price needed to achieve cellulosic market penetration levels comparable to those in legislation is significantly increased, reaching 1.06/liter as opposed to 0.79/liter without it. The third essay examines renewable electricity and its future market share. Investments in renewable electricity have increased recently due to rapid technological progress. Questions going forward are: (1) Will such technical achievement stimulating market based adoption persist? (2) Are additional developments needed to enhance additional adoption? These questions are addressed in this study using a sector modeling approach. The results indicate that adoption of renewable electricity under current projections of technical progress, will lead to a 25% market share by 2050. If greater market shares are desired, we find this can be stimulated by faster technological progress, reliability enhancing electricity storage and power system management, or direct carbon pricing, with combinations of these supporting as much as a 60% market share by 2050. Advisors/Committee Members: McCarl, Bruce A. (advisor), Bessler, David A. (committee member), Wu, Ximing (committee member), Zhang, Yu (committee member).

Subjects/Keywords: Renewable Energy; Agriculture; Climate Change

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APA (6^th Edition):

Wang, Z. (2018). Three Essays on Climate Change, Renewable Energy and Agriculture in the US. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173636

Chicago Manual of Style (16^th Edition):

Wang, Zidong. “Three Essays on Climate Change, Renewable Energy and Agriculture in the US.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/173636.

MLA Handbook (7^th Edition):

Wang, Zidong. “Three Essays on Climate Change, Renewable Energy and Agriculture in the US.” 2018. Web. 04 Mar 2021.

Vancouver:

Wang Z. Three Essays on Climate Change, Renewable Energy and Agriculture in the US. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/173636.

Council of Science Editors:

Wang Z. Three Essays on Climate Change, Renewable Energy and Agriculture in the US. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173636

Texas A&M University

23. Kassas, Bachir Mohamad. On the Social and Psychological Determinants of Cooperative and Risk-Taking Behavior.

Degree: PhD, Agricultural Economics, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/173868

► This dissertation examines some of the social and psychological factors affecting individual cooperative and risk-taking behavior. Specifically, laboratory experiments were conducted in order to shed… (more)

▼ This dissertation examines some of the social and psychological factors affecting individual cooperative and risk-taking behavior. Specifically, laboratory experiments were conducted in order to shed more light on the interactive forces affecting individual contributions to public goods and individual giving in dictator game settings. Moreover, biometrics data were utilized to provide a stronger understanding of the true effect of positive and negative moods on risk preferences. First, the interaction between high- and low-income individuals in voluntary contributions mechanisms is examined by varying group composition and marginal-per-capita-return. A finite mixture model is used to split each income type into two categories. While free-riders were present among both income types, the majority of low-income individuals were classified as opportunists, who strategically increased their contributions in the presence of high-income individuals in order to benefit from their resources. On the other hand, high-income individuals were predominantly selfists, who deliberately decreased their contributions in the presence of the low-income type due mainly to self-interest and caution. Next, the perception of social norms as a first impulse or last resort is investigated in the context of individual giving in dictator games. Three variants of the dictator game are used, which differed in the way the dictator roles were assigned. By creating an environment where role assignment was random but open for interpretation, it was found that social norms compliance is not impulsively sought by individuals. Rather, adherence to social norms is only observed when the environment does not allow for an interpretation that can be used to break the prevalent norm. Finally, facial expression analysis is used to provide a more accurate assessment of the effect of positive and negative mood on risk preferences. A dilution effect issue was uncovered, which is inherent in the conventional experimental design used for tackling this question. The results served to address a controversy over the direction of the effect of mood on risk preference, showing that both positive and negative mood acted to decrease risk-aversion. Finally, the importance of the risk preference elicitation method used in this type of research was demonstrated. Advisors/Committee Members: Palma, Marco A. (advisor), Bessler, David A. (committee member), Eckel, Catherine C. (committee member), Zhang, Yu (committee member).

Subjects/Keywords: finite mixture model; income heterogeneity; public goods; varying relative returns; dictator giving; double hurdle model; fake entitlement; social norms; risk preferences; mood measurement; mood dilution

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APA (6^th Edition):

Kassas, B. M. (2018). On the Social and Psychological Determinants of Cooperative and Risk-Taking Behavior. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173868

Chicago Manual of Style (16^th Edition):

Kassas, Bachir Mohamad. “On the Social and Psychological Determinants of Cooperative and Risk-Taking Behavior.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/173868.

MLA Handbook (7^th Edition):

Kassas, Bachir Mohamad. “On the Social and Psychological Determinants of Cooperative and Risk-Taking Behavior.” 2018. Web. 04 Mar 2021.

Vancouver:

Kassas BM. On the Social and Psychological Determinants of Cooperative and Risk-Taking Behavior. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/173868.

Council of Science Editors:

Kassas BM. On the Social and Psychological Determinants of Cooperative and Risk-Taking Behavior. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173868

Texas A&M University

24. Segovia Coronel, Michelle Stefania. Combining Experimental Methods with Biometric Tools to Analyze Food-Related Behavior.

Degree: PhD, Agricultural Economics, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/174105

► This dissertation uses experimental economics methods and biometric tools to test for the consistency of individual preferences and analyze how such preferences are affected by… (more)

▼ This dissertation uses experimental economics methods and biometric tools to test for the consistency of individual preferences and analyze how such preferences are affected by states of cognitive impairment and resource scarcity. Across the study, emphasis is made on the effect of hunger on food choices and intertemporal decisions, along with the implementation of health-related intervention programs tailored to individuals with different health characteristics. The behavioral findings are supported by eye tracking data, which provide insightful information on how visual attention and arousal impact final food choices. The methodologies used to measure individual preferences are hypothetical and non-hypothetical, and the statistical tools used to analyze this data include econometric models for categorical and limited dependent variables in preference space and in willingness-to-pay (WTP) space. The first essay tests the consistency of individual preferences over the same repeated choice experiment. Results based on a within-subjects design indicate that after changing the position of the same alternatives in the choice set, participants were consistent with their choices 69% of the time. Moreover, after reverting back to the identical original positions of the alternatives but randomizing the order of the choice sets, individuals’ choices were consistent 67% of the time. The robustness of these results was further demonstrated by using random parameters models with flexible mixing distributions to calculate WTP for the products attributes. Importantly, none of the attributes followed a normal distribution, which highlights the importance of considering more flexible forms such as polynomials when estimating the distribution of random parameters. The second essay tests for the presence of an anticipatory food reward effect and examines whether this effect is ubiquitous or if there are differential effects by body mass index (BMI). In a controlled laboratory experiment, participants performed a cognitive test and a food choice task in randomized order. The results showed that overweight and obese individuals exhibited an anticipatory food reward effect, which enhanced their cognitive capacity after merely choosing a food snack that would be consumed at the end of the experimental session. This cognitive impairment induced by hunger only affected the food choices of obese individuals, who were more likely to make unhealthy food choices. This finding was complemented by eye tracking data, which indicated that the obese exhibited more arousal or engagement towards the food products under a low cognitive capacity. Finally, the third essay consists of a laboratory experiment implemented to investigate whether inducing health related thoughts and future self-image representations influence the food choices and intertemporal decisions of overweight, obese and normal weight individuals. The results indicate that providing information about the immediate consequences associated with healthy/unhealthy habits increased the… Advisors/Committee Members: Palma, Marco A (advisor), Bessler, David A (committee member), Brown, Alexander L (committee member), Zhang, Yu Y (committee member).

Subjects/Keywords: behavior; food

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APA (6^th Edition):

Segovia Coronel, M. S. (2018). Combining Experimental Methods with Biometric Tools to Analyze Food-Related Behavior. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174105

Chicago Manual of Style (16^th Edition):

Segovia Coronel, Michelle Stefania. “Combining Experimental Methods with Biometric Tools to Analyze Food-Related Behavior.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/174105.

MLA Handbook (7^th Edition):

Segovia Coronel, Michelle Stefania. “Combining Experimental Methods with Biometric Tools to Analyze Food-Related Behavior.” 2018. Web. 04 Mar 2021.

Vancouver:

Segovia Coronel MS. Combining Experimental Methods with Biometric Tools to Analyze Food-Related Behavior. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/174105.

Council of Science Editors:

Segovia Coronel MS. Combining Experimental Methods with Biometric Tools to Analyze Food-Related Behavior. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174105

Texas A&M University

25. Sukcharoen, Kunlapath. Applications of Vine Copulas in Commodity Risk Management and Price Analysis.

Degree: PhD, Agribusiness and Managerial Economics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/165714

► This dissertation consists of three studies that focus on applications of vine copulas, a relatively new class of multivariate copula approach, in commodity risk management… (more)

▼ This dissertation consists of three studies that focus on applications of vine copulas, a relatively new class of multivariate copula approach, in commodity risk management and price analysis. The first study proposes a vine copula approach to estimate multiproduct hedge ratios that minimize the risk of refining margin erosion – the downside risk facing a typical oil refinery whose profit greatly depends on its refining margin or the difference between the prices of its refined products and the cost of crude oil. The out-of-sample hedging effectiveness of two popular classes of vine copula models – canonical (C-) and drawable (D-) vine copula models – are evaluated and compared with that of a widely used nonparametric method and three standard multivariate copula models. The empirical results reveal that the D-vine copula model seems to be a good and safe choice in managing the downside risk of the refinery. The second study explores the importance of modeling heterogeneous dependence structures between different pairs of energy commodity returns with vine copulas in improving one-step-ahead density forecasts of these returns. The value of modeling heterogeneous dependence structures is measured by comparing the performance of density forecasts based on vine copulas with density forecasts based on standard copulas that assume homogeneous dependence structures. The empirical results suggest that modeling heterogeneous dependence structures using vine copulas does not help improve quality of multivariate density forecasts of energy commodity returns. The third study applies a vine copula approach to analyze the dependence structure and tail dependence patterns among daily prices of three agricultural commodities (corn, soybean, and wheat) and two energy commodities (ethanol and crude oil) from June 2006 to June 2016. Our findings suggest that the prices of corn and crude oil are linked through the ethanol market. We also find that crude oil and agricultural commodity prices are statistically dependent during the extreme market downturns but independent during the extreme market upturns. Moreover, the results from our sub-sample analysis show that both the upper and lower tail dependence between crude oil and other commodity markets become weaker in the recent years when the ethanol market became more mature. Advisors/Committee Members: Leatham, David J (advisor), Bessler, David A (advisor), Bryant, Henry L (committee member), Kolari , James W (committee member).

Subjects/Keywords: vine copulas; commodity risk management; price dependence analysis

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APA (6^th Edition):

Sukcharoen, K. (2017). Applications of Vine Copulas in Commodity Risk Management and Price Analysis. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165714

Chicago Manual of Style (16^th Edition):

Sukcharoen, Kunlapath. “Applications of Vine Copulas in Commodity Risk Management and Price Analysis.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/165714.

MLA Handbook (7^th Edition):

Sukcharoen, Kunlapath. “Applications of Vine Copulas in Commodity Risk Management and Price Analysis.” 2017. Web. 04 Mar 2021.

Vancouver:

Sukcharoen K. Applications of Vine Copulas in Commodity Risk Management and Price Analysis. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/165714.

Council of Science Editors:

Sukcharoen K. Applications of Vine Copulas in Commodity Risk Management and Price Analysis. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165714

Texas A&M University

26. Lu, Ruoxi. Three Essays on China’s Interbank Money Market: Its Interactions with the Central Bank, the Exchange-based Money Market and the Offshore Renminbi Money Market.

Degree: PhD, Agricultural Economics, 2017, Texas A&M University

URL: http://hdl.handle.net/1969.1/165734

► This dissertation consists of three essays that focus on China’s interbank money market. The first essay is an empirical examination of the responses of China’s… (more)

▼ This dissertation consists of three essays that focus on China’s interbank money market. The first essay is an empirical examination of the responses of China’s short-term interbank interest rates to the People’s Bank of China (PBOC)’s policy instruments, and how these responses were affected by structural changes. The results indicate that the interbank interest rates responded to policy instruments differently following three structural changes related to the 2007-08 global financial crisis and major operational changes by the PBOC in 2011 and 2013. The results also suggest that there were significant discrepancies between the Shanghai Interbank Offered Rate (SHIBOR) and the interbank repo rate’s responses to policy instruments. The second essay is an empirical assessment of the transmission of liquidity shocks between China’s interbank money market that supplies liquidity to the banking sector and China’s exchange-based money market that supplies liquidity to the stock market, based on the co-movements of interest rate spreads in these two markets. The segmentation between the two money markets was supposed to prevent the transmission of liquidity shocks between China’s banking sector and stock market during liquidity-related market events. However, the results in this study suggest that the trading and financing activities in the two money markets allowed liquidity shocks to circumvent the market segmentation during two recent market events, including the rollercoaster ride of China’s stock market in 2014-15 and the cash crunch in China’s banking sector in mid-2013. The third essay is an attempt to infer how China’s monetary policymakers may have handled the famous monetary policy trilemma based on an empirical exploration of the interactions between the onshore and offshore renminbi interbank interest rates. The results suggest that, during most of the last three to four years, the monetary policymaking of the PBOC has been bounded by the trilemma like the central banks in the other major economies, with the exception of a 15-month period since May 2014. The results also suggest that the PBOC may have switched their priorities among the three components of the trilemma several times in recent years in responses to different market environments. Advisors/Committee Members: Leatham, David J (advisor), Bessler, David A (advisor), Wu, Ximing (committee member), Dudensing, Rebekka M (committee member).

Subjects/Keywords: Money market; interbank market; interbank interest rate; monetary policy in China

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APA (6^th Edition):

Lu, R. (2017). Three Essays on China’s Interbank Money Market: Its Interactions with the Central Bank, the Exchange-based Money Market and the Offshore Renminbi Money Market. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165734

Chicago Manual of Style (16^th Edition):

Lu, Ruoxi. “Three Essays on China’s Interbank Money Market: Its Interactions with the Central Bank, the Exchange-based Money Market and the Offshore Renminbi Money Market.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/165734.

MLA Handbook (7^th Edition):

Lu, Ruoxi. “Three Essays on China’s Interbank Money Market: Its Interactions with the Central Bank, the Exchange-based Money Market and the Offshore Renminbi Money Market.” 2017. Web. 04 Mar 2021.

Vancouver:

Lu R. Three Essays on China’s Interbank Money Market: Its Interactions with the Central Bank, the Exchange-based Money Market and the Offshore Renminbi Money Market. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/165734.

Council of Science Editors:

Lu R. Three Essays on China’s Interbank Money Market: Its Interactions with the Central Bank, the Exchange-based Money Market and the Offshore Renminbi Money Market. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165734

Texas A&M University

27. Bakhtavoryan, Rafael. Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data.

Degree: PhD, Agricultural Economics, 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10563

► Using household level scanner data for 2006, 2007, and 2008, this dissertation consists of four studies, which present household- and market-level analyses of food safety… (more)

▼ Using household level scanner data for 2006, 2007, and 2008, this dissertation consists of four studies, which present household- and market-level analyses of food safety issues concerning the 2007 Peter Pan recall on the demand for peanut butter at the category level and at the brand level. Findings of the first study suggested that the recall had a statistically significant positive effect on the demand for peanut butter at the category level. At the brand level, spillover effects were evident in that the demand for Jif was positively affected, while the demand for Skippy was negatively affected. The second study examined structural change in the demand for peanut butter using demand system models corresponding to the pre-recall and the post-recall periods. Matrices of own-price, cross-price, and expenditure elasticities were calculated for both recall periods, and upon comparison, there were statistical differences in the corresponding estimated elasticities. In general, most price elasticities in the post-recall period were larger in absolute value than the comparable elasticities in the pre-recall period. The third study investigated the impact of household socio-economic characteristics associated with choices to purchase peanut butter across the pre- and the post-recall periods. Four choice scenarios were no buy-no buy, buy-no buy, no buy-buy, and buy-buy. Socio-economic characteristics considered included age, employment, education, race, ethnicity, presence of male and/or female household head, region, age and presence of children in the household, household size, and income. While the results varied by brand, region was the socio-demographic characteristic that was consistently significant among the choice scenarios for the respective peanut butter brands. Conditional on households purchasing peanut butter in both the pre- and the post-recall periods, the final analysis examined the influence of the same aforementioned socio-economic variables as well as the change in the own price on the change in the quantity purchased. The results varied across brands, but the principal drivers of the conditional change in the quantity purchased were the change in the own price and the age and presence of children in the household. Advisors/Committee Members: Capps, Oral (advisor), Salin, Victoria (advisor), Bessler, David (committee member), Wu, Ximing (committee member), Murano, Peter (committee member).

Subjects/Keywords: Recall; Peanut Butter; Demand; Scanner Data

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APA (6^th Edition):

Bakhtavoryan, R. (2012). Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10563

Chicago Manual of Style (16^th Edition):

Bakhtavoryan, Rafael. “Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data.” 2012. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10563.

MLA Handbook (7^th Edition):

Bakhtavoryan, Rafael. “Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data.” 2012. Web. 04 Mar 2021.

Vancouver:

Bakhtavoryan R. Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10563.

Council of Science Editors:

Bakhtavoryan R. Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10563

Texas A&M University

28. Duangnate, Kannika. Essays on the Dynamics of and Forecasting Ability within the U.S. Energy Sector.

Degree: PhD, Agricultural Economics, 2015, Texas A&M University

URL: http://hdl.handle.net/1969.1/156483

► Advances in production technology are increasing the availability of natural gas in the U.S. Examining how these technological advancements influence the dynamics in the natural… (more)

▼ Advances in production technology are increasing the availability of natural gas in the U.S. Examining how these technological advancements influence the dynamics in the natural gas and energy sectors is the subject here. Tests for parameters constancy in cointegrated vector autoregressive models are applied to investigate the possible existence of structural changes in pricing relationships among North America natural gas spot markets. Results suggest that long-run pricing relationships among eight natural gas spot prices are not constant over the period of 1994 to 2014. Two potential breaks are found, during 2000 and 2009. Possible contributing factors to structural changes occurring during 2000 are expensive and volatile natural gas prices, the U.S. Federal Energy Regulatory Commission Order No. 637, and changes in imports. The major contributing factor to the structural change during 2009 is likely the shale gas revolution. Prequential analysis is applied to determine how the presence of these structural breaks affects probabilistic forecasts of out-of-sample data of natural gas returns. Models using longer periods as the based estimation period, forecast returns better. Threshold cointegration examines the effects of the structural breaks on transaction costs between natural gas markets. Pairwise transaction costs differ between the 2009 preand post-break periods. During the post-break period, five of seven pairwise transaction costs decrease, while the remaining two pair-wise transaction costs increase relative to the pre-break period. Alterations in natural gas flows as the result of the shale gas revolution partially explain the transaction costs changes. Finally, a data-rich methodology is used to investigate how the number of factors derived from a large number of time series influences inferences and probabilistic forecasting performance concerning natural gas production. Factor-augmented vector autoregressive models and prequential analysis are applied to data series of the U.S. energy and macroeconomic variables. The number of factors minimally affects inferences from factor-augmented vector autoregressive models, but considerably affects probabilistic forecasting performance. Exploiting estimated factor improves the forecasting ability, but including too many factors tends to exacerbate probabilistic forecasts performance. Advisors/Committee Members: Mjelde, James W. (advisor), Bessler, David A. (advisor), Wu, Ximing (committee member), Xu, Ke-Li (committee member).

Subjects/Keywords: dynamics; forecasting; energy; structural break; prequential; FAVAR; natural gas; econometric

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APA (6^th Edition):

Duangnate, K. (2015). Essays on the Dynamics of and Forecasting Ability within the U.S. Energy Sector. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156483

Chicago Manual of Style (16^th Edition):

Duangnate, Kannika. “Essays on the Dynamics of and Forecasting Ability within the U.S. Energy Sector.” 2015. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/156483.

MLA Handbook (7^th Edition):

Duangnate, Kannika. “Essays on the Dynamics of and Forecasting Ability within the U.S. Energy Sector.” 2015. Web. 04 Mar 2021.

Vancouver:

Duangnate K. Essays on the Dynamics of and Forecasting Ability within the U.S. Energy Sector. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/156483.

Council of Science Editors:

Duangnate K. Essays on the Dynamics of and Forecasting Ability within the U.S. Energy Sector. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/156483

Texas A&M University

29. Binder, Kyle Edwin. The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches.

Degree: PhD, Agricultural Economics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/156991

► The U.S. energy sector has undergone continuous change in the regulatory, technological, and market environments. These developments show no signs of slowing. Accordingly, it is… (more)

▼ The U.S. energy sector has undergone continuous change in the regulatory, technological, and market environments. These developments show no signs of slowing. Accordingly, it is imperative that energy market regulators and participants develop a strong comprehension of market dynamics and the potential implications of their actions. This dissertation contributes to a better understanding of the past, present, and future of U.S. energy market dynamics and interactions with policy. Advancements in multivariate time series analysis are employed in three related studies of the electric power sector. Overall, results suggest that regulatory changes have had and will continue to have important implications for the electric power sector. The sector, however, has exhibited adaptability to past regulatory changes and is projected to remain resilient in the future. Tests for constancy of the long run parameters in a vector error correction model are applied to determine whether relationships among coal inventories in the electric power sector, input prices, output prices, and opportunity costs have remained constant over the past 38 years. Two periods of instability are found, the first following railroad deregulation in the U.S. and the second corresponding to a number of major regulatory changes in the electric power and natural gas sectors. Relationships among Renewable Energy Credit prices, electricity prices, and natural gas prices are estimated using a vector error correction model. Results suggest that Renewable Energy Credit prices do not completely behave as previously theorized in the literature. Potential reasons for the divergence between theory and empirical evidence are the relative immaturity of current markets and continuous institutional intervention. Potential impacts of future CO2 emissions reductions under the Clean Power Plan on economic and energy sector activity are estimated. Conditional forecasts based on an outlined path for CO2 emissions are developed from a factor-augmented vector autoregressive model for a large dataset. Unconditional and conditional forecasts are compared for U.S. industrial production, real personal income, and estimated factors. Results suggest that economic growth will be slower under the Clean Power Plan than it would otherwise; however, CO2 emissions reductions and economic growth can be achieved simultaneously. Advisors/Committee Members: Mjelde, James W (advisor), Bessler, David A (committee member), Woodward, Richard T (committee member), Griffin, James M (committee member).

Subjects/Keywords: Electric Power Sector; Regulatory Impacts; Pricing Dynamics; Multivariate Time Series

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Binder, K. E. (2016). The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156991

Chicago Manual of Style (16^th Edition):

Binder, Kyle Edwin. “The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches.” 2016. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/156991.

MLA Handbook (7^th Edition):

Binder, Kyle Edwin. “The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches.” 2016. Web. 04 Mar 2021.

Vancouver:

Binder KE. The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/156991.

Council of Science Editors:

Binder KE. The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156991

Texas A&M University

30. Li, Yajuan. Three Essays on Economic Evaluation of Health Intervention Programs and Health Policy.

Degree: PhD, Agricultural Economics, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/158142

► This dissertation is mainly focusing on an economic evaluation of a childhood obesity intervention program, after school physical activities and a nationwide social health care… (more)

▼ This dissertation is mainly focusing on an economic evaluation of a childhood obesity intervention program, after school physical activities and a nationwide social health care program. The analysis is conducted within three main essays. The purpose of the first essay is to estimate peer effects on third grade students’ BMI and to investigate the social and physiological explanations for such effects. The BMI of students from a childhood obesity intervention program (N=573) is used to assess peer effects on students’ BMI by identification of endogenous social effects. We apply IV regression to account for this endogenous effects. Strong peer effects are found for the overall sample, females and males (p<.1). However, when classifying students into improvement versus non-improvement groups, the peer effect is only found among females categorized in the improvement group (B=1.472) and males in the non-improvement group (B= 1.176). Thus in general, peer effects are found for students aged 8-11, with sex differences in the psychological and social behavioral motivations. In the second essay, we exploit the data from the Trends in International Mathematics and Science Study (TIMSS) 2011 to evaluate the effect of playing after school on academic performance by using a propensity score matching approach. We highlight that in addition to intrinsic characteristics of students, the extent to which after school activities affect academic performance depends on extrinsic factors such as parental involvement. In order to capture the heterogeneous effects of playing after school, we analyze the effect by separating the overall sample according to whether parents check their children’s homework and set specific times for after school homework. We further uncover heterogeneous effects of playing after school for different levels of parental involvement and supervision. The results show that playing after school significantly increases math and science test scores of students by 7.9 points and 4.2 points respectively. Moreover, this positive effect is stronger among students with greater parental involvement and supervision, but weaker or nonexistent among students with less parental involvement and supervision. The third essay fills the gap in the literature by examining the long-term causal effects of Medicaid enrollment on high school and college completion through a regression discontinuity design that exploits an eligibility discontinuity created by the Medicaid expansion of 1990. Using the American Community Survey data, we present evidence that Medicaid enrollment decreased high school completion rates by 3.6 percentage points (using local linear regression and IK bandwidth selector). However, we find little evidence of adverse impact of Medicaid on college completion. We also find heterogeneous effects by race/ethnicity. While Medicaid has no significant impact on educational achievement of blacks or Asian, Hispanics are negatively affected by Medicaid on both high school and college completion. Advisors/Committee Members: Palma, Marco A (advisor), Bessler, David A (committee member), Wu, Ximing (committee member), Ory, Marcia G (committee member), McCorkle, Dean (committee member).

Subjects/Keywords: peer effect; childhood obesity; intervention; academic performance; parental involvement; play after school; propensity score matching; Medicaid; education; regression discontinuity.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, Y. (2016). Three Essays on Economic Evaluation of Health Intervention Programs and Health Policy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158142

Chicago Manual of Style (16^th Edition):

Li, Yajuan. “Three Essays on Economic Evaluation of Health Intervention Programs and Health Policy.” 2016. Doctoral Dissertation, Texas A&M University. Accessed March 04, 2021. http://hdl.handle.net/1969.1/158142.

MLA Handbook (7^th Edition):

Li, Yajuan. “Three Essays on Economic Evaluation of Health Intervention Programs and Health Policy.” 2016. Web. 04 Mar 2021.

Vancouver:

Li Y. Three Essays on Economic Evaluation of Health Intervention Programs and Health Policy. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1969.1/158142.

Council of Science Editors:

Li Y. Three Essays on Economic Evaluation of Health Intervention Programs and Health Policy. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158142

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