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Colorado State University
1.
Kerschen, Matthew.
County-level analysis of residential solar adoption in the United States, A.
Degree: MA, Economics, 2012, Colorado State University
URL: http://hdl.handle.net/10217/65327
► This thesis set out to achieve two major objectives, with a third objective added at the end. The first was the update and analysis of…
(more)
▼ This thesis set out to achieve two major objectives, with a third objective added at the end. The first was the update and analysis of the zero-inflated negative binomial (ZINB) model used by
Zahran et al. (2008) in regards to its validity and robustness as a predictor of the count of solar using households in a county. The second objective was to use the model to provide an empirical measure of the effect financial and regulatory incentives have on the count of solar using households. The final objective was to explore and explain an unexpected decrease in the count of solar using households. This was done by using a ZINB regression to model the number of occupied housing units that use solar heating at the county level over the period from 2000 to 2009. In addition to analyzing the effects of the explanatory variables, geographic information systems (GIS) modeling was used to provide geographic mapping of the distribution of occupied housing units that use solar heating. The results indicate that
Zahran et al.'s (2008) model is a robust and accurate predictor of the count of solar using households. Financial incentives were found to have an insignificant impact on the count of solar-using households, while regulatory incentives decreased the odds of a zero count in a county, but also decreased the expected count. A correlation was found between densely populated counties and the decrease in the count of solar using households.
Advisors/Committee Members: Kling, Robert (advisor), Zahran, Sammy (advisor), Bond, Craig (committee member).
Subjects/Keywords: GIS; zero-inflated negative binomial; solar heating; household solar energy use
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APA (6th Edition):
Kerschen, M. (2012). County-level analysis of residential solar adoption in the United States, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/65327
Chicago Manual of Style (16th Edition):
Kerschen, Matthew. “County-level analysis of residential solar adoption in the United States, A.” 2012. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/65327.
MLA Handbook (7th Edition):
Kerschen, Matthew. “County-level analysis of residential solar adoption in the United States, A.” 2012. Web. 08 Mar 2021.
Vancouver:
Kerschen M. County-level analysis of residential solar adoption in the United States, A. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/65327.
Council of Science Editors:
Kerschen M. County-level analysis of residential solar adoption in the United States, A. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/65327

Colorado State University
2.
Simpson, Jason J.
Addressing the religious free-rider problem via religious consumption signaling and religious capital accumulation.
Degree: MA, Economics, 2012, Colorado State University
URL: http://hdl.handle.net/10217/75118
► The aim of this paper is to investigate and illustrate the religious free-rider problem within church congregations while investigating religious consumption signaling patterns and the…
(more)
▼ The aim of this paper is to investigate and illustrate the religious free-rider problem within church congregations while investigating religious consumption signaling patterns and the ability, or lack thereof, to form religious capital. From an institutional perspective, this paper will address stigma-screening processes via three economic models in an effort to understand and evaluate the overall effectiveness of institutional responses towards free-riding members. In addition, this paper will explore incentives behind perverse consumption signaling as a method of communicating membership, as well as the overall impact of restricting religious capital accumulation for both members and free-riders alike.
Advisors/Committee Members: Bernasek, Alexandra (advisor), Zahran, Sammy (committee member), Dickinson, Greg (committee member).
Subjects/Keywords: consumption signaling; religious free-rider; religious capital
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APA (6th Edition):
Simpson, J. J. (2012). Addressing the religious free-rider problem via religious consumption signaling and religious capital accumulation. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/75118
Chicago Manual of Style (16th Edition):
Simpson, Jason J. “Addressing the religious free-rider problem via religious consumption signaling and religious capital accumulation.” 2012. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/75118.
MLA Handbook (7th Edition):
Simpson, Jason J. “Addressing the religious free-rider problem via religious consumption signaling and religious capital accumulation.” 2012. Web. 08 Mar 2021.
Vancouver:
Simpson JJ. Addressing the religious free-rider problem via religious consumption signaling and religious capital accumulation. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/75118.
Council of Science Editors:
Simpson JJ. Addressing the religious free-rider problem via religious consumption signaling and religious capital accumulation. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/75118

Colorado State University
3.
Pereira, Aaron.
Towards federated learning over large-scale streaming data.
Degree: MS(M.S.), Computer Science, 2020, Colorado State University
URL: http://hdl.handle.net/10217/208427
► Distributed Stream Processing Engines (DSPEs) have seen significant deployment growth along with an increase in streaming data sources such as sensor networks. These DSPEs enable…
(more)
▼ Distributed Stream Processing Engines (DSPEs) have seen significant deployment growth along with an increase in streaming data sources such as sensor networks. These DSPEs enable processing large amounts of streaming data in a cluster of commodity machines to extract knowledge and insights in real-time. Due to fluctuating data arrival rates in real-world applications, modern DSPEs often provide auto-scaling. However, the existing designs of advanced analytical frameworks are not effectively aligned with scalable streaming computing environments. We have designed and developed ORCA, a federated learning architecture that supports the training of traditional Artificial Neural Networks as well as Convolutional Neural Networks and Long Short-term Memory Network based models while ensuring resiliency during scaling. ORCA also introduces dynamic adjustment of the 'elasticity' hyper-parameter for rescaled computing environments. We estimate this elasticity hyper-parameter using reinforcement learning. Our empirical benchmarks show that ORCA is capable of achieving an MSE of 0.038 over real-world streaming datasets.
Advisors/Committee Members: Pallickara, Sangmi (advisor), Pallickara, Shrideep (committee member), Zahran, Sammy (committee member).
Subjects/Keywords: distributed stream processing engines; scalable analytics; federated learning; deep learning
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APA (6th Edition):
Pereira, A. (2020). Towards federated learning over large-scale streaming data. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/208427
Chicago Manual of Style (16th Edition):
Pereira, Aaron. “Towards federated learning over large-scale streaming data.” 2020. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/208427.
MLA Handbook (7th Edition):
Pereira, Aaron. “Towards federated learning over large-scale streaming data.” 2020. Web. 08 Mar 2021.
Vancouver:
Pereira A. Towards federated learning over large-scale streaming data. [Internet] [Masters thesis]. Colorado State University; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/208427.
Council of Science Editors:
Pereira A. Towards federated learning over large-scale streaming data. [Masters Thesis]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208427

Colorado State University
4.
von Wedell, Christopher R.
Methods of dating glass beads from protohistoric sites in the South Platte River Basin, Colorado.
Degree: MA, Anthropology, 2011, Colorado State University
URL: http://hdl.handle.net/10217/52131
► Morphological characteristics and chemical trace elements counts acquired using Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry analyses were documented for glass trade beads from 24 protohistoric archaeological…
(more)
▼ Morphological characteristics and chemical trace elements counts acquired using Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry analyses were documented for glass trade beads from 24 protohistoric archaeological assemblages in the South Platte River Basin. The resulting database was used to provide quantitative descriptions of each recorded assemblage and to characterize the types of glass beads currently reported in the region. Statistical analyses were then conducted to determine if and to what extent morphological and chemical traits change through time. Characteristics of beads in dated contexts were then used to develop a linear regression model in an attempt to determine if it is possible to estimate the age of beads from undated contexts. It is concluded that morphological and chemical characteristics of glass beads in dated contexts can be used to estimate the age of glass beads in undated contexts using linear regression. The results of this thesis demonstrate that morphological characteristics are currently more accurate and precise than chemistry although both methods hold potential for revision and improvement as more dated sites become available to supplement the statistical models.
Advisors/Committee Members: LaBelle, Jason M. (advisor), Van Buren, Mary (committee member), Zahran, Sammy J. (committee member).
Subjects/Keywords: beads; Colorado; dating; glass; protohistoric; South Platte River Basin
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APA (6th Edition):
von Wedell, C. R. (2011). Methods of dating glass beads from protohistoric sites in the South Platte River Basin, Colorado. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/52131
Chicago Manual of Style (16th Edition):
von Wedell, Christopher R. “Methods of dating glass beads from protohistoric sites in the South Platte River Basin, Colorado.” 2011. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/52131.
MLA Handbook (7th Edition):
von Wedell, Christopher R. “Methods of dating glass beads from protohistoric sites in the South Platte River Basin, Colorado.” 2011. Web. 08 Mar 2021.
Vancouver:
von Wedell CR. Methods of dating glass beads from protohistoric sites in the South Platte River Basin, Colorado. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/52131.
Council of Science Editors:
von Wedell CR. Methods of dating glass beads from protohistoric sites in the South Platte River Basin, Colorado. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/52131

Colorado State University
5.
Prelog, Andrew J.
Longitudinal and geographic analysis of the relationship between natural disasters and crime in the United States.
Degree: PhD, Sociology, 2012, Colorado State University
URL: http://hdl.handle.net/10217/68190
► Natural disasters and crime are ubiquitous in the United States. The public generally views the social disorder associated with disaster events as criminogenic – that is,…
(more)
▼ Natural disasters and crime are ubiquitous in the United States. The public generally views the social disorder associated with disaster events as criminogenic – that is, disasters somehow foster opportunistic criminal behavior. Scientific investigation into the relationship between disaster and crime is more nuanced – and at times has produced contradictory and inconsistent findings. This dissertation research explores the relationship between disaster and crime in the continental United States to investigate the question of whether disasters of different magnitudes and/or types differentially affect crime rates. I employ three sociological theories to inform the analyses. First, sociology of disaster researchers, using the therapeutic community hypothesis, have long asserted that disasters reduce criminal activity both during and after the event. Second, criminologists using social disorganization theory assert that disaster may increase the likelihood and occurrence of crime. Third, researchers using routine activity theory suggest that disaster may increase or decrease criminal activity, depending on how a disaster restructures formal and informal mechanisms of social control, and criminal opportunity. To investigate this question, I use geographic and longitudinal analyses of 14 years of county-level data on socio-demographic predictors of crime, crime rates, and disaster impacts. I statistically model 11 different categories of crime and impacts from 12 different disaster types using geographic information systems, hierarchical linear modeling, and geographically weighted regression. In general, findings indicate that higher crime rates are associated with larger disaster magnitudes. The effect is not consistent for all categories of crime investigated in this research. Findings also indicate that certain types of disasters have a differential effect on crime outcomes, independent of disaster magnitude. This research and results represent the first county-level geographic and longitudinal analysis of disaster and crime for the United States.
Advisors/Committee Members: O'Connor Shelley, Tara (advisor), Peek, Lori (advisor), Hogan, Michael (committee member), Zahran, Sammy (committee member).
Subjects/Keywords: crime; natural disaster
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Prelog, A. J. (2012). Longitudinal and geographic analysis of the relationship between natural disasters and crime in the United States. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/68190
Chicago Manual of Style (16th Edition):
Prelog, Andrew J. “Longitudinal and geographic analysis of the relationship between natural disasters and crime in the United States.” 2012. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/68190.
MLA Handbook (7th Edition):
Prelog, Andrew J. “Longitudinal and geographic analysis of the relationship between natural disasters and crime in the United States.” 2012. Web. 08 Mar 2021.
Vancouver:
Prelog AJ. Longitudinal and geographic analysis of the relationship between natural disasters and crime in the United States. [Internet] [Doctoral dissertation]. Colorado State University; 2012. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/68190.
Council of Science Editors:
Prelog AJ. Longitudinal and geographic analysis of the relationship between natural disasters and crime in the United States. [Doctoral Dissertation]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/68190

Colorado State University
6.
Curley, Christina.
Three essays on connections between personal life and economic outcomes.
Degree: PhD, Economics, 2018, Colorado State University
URL: http://hdl.handle.net/10217/189352
► The theme of this collection is the intersection of individuals' personal lives and economic lives. Personal traits may be influenced by gender, life events, and…
(more)
▼ The theme of this collection is the intersection of individuals' personal lives and economic lives. Personal traits may be influenced by gender, life events, and socioeconomic class. Personal traits can affect productivity and therefore are important in determining what happens in the labor market. In other words, what happens at work and what happens at home are not entirely separate. The first essay explores how sexual orientation and sexual experiences are related to individual income. Previous literature indicates that gay, lesbian, and bisexual (LGB) individuals experience an income differential when compared with heterosexuals. Recent data indicate that self-identification as an LGB individual and/or same-sex sexual behavior are still correlated with a lower income, however, not all of the results are statistically significant. In addition, there is a statistically significant negative income differential of 32% for men who report having had a same sex partner at some point, but identify as straight/heterosexual. The second essay analyzes parental divorce and how this may affect children later in life. Previous literature indicates that a multitude of issues exist for children whose parents divorced. The impact of parental divorce on children's income later in life is tested. Results from the Panel Study of Income Dynamics (PSID) indicate that negative income effects from parental divorce persist for young men, however, young women and older age groups do not experience negative impacts on income. The third essay investigates a relationship between student loan debt and probability of marriage. Using the Baccalaureate and Beyond Survey 2008-2012, and with gender differences in mind, the impact of student loan repayment burden on the probability of marriage occurring in the four years following graduation is tested. Results indicate that increased payment-to-income ratio on student loan debt is negatively related to the probability of getting married for women who indicate a delay in marriage due to education debt.
Advisors/Committee Members: Bernasek, Alexandra (advisor), Zahran, Sammy (committee member), Mushinski, David (committee member), Canetto, Silvia Sara (committee member).
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APA ·
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APA (6th Edition):
Curley, C. (2018). Three essays on connections between personal life and economic outcomes. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/189352
Chicago Manual of Style (16th Edition):
Curley, Christina. “Three essays on connections between personal life and economic outcomes.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/189352.
MLA Handbook (7th Edition):
Curley, Christina. “Three essays on connections between personal life and economic outcomes.” 2018. Web. 08 Mar 2021.
Vancouver:
Curley C. Three essays on connections between personal life and economic outcomes. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/189352.
Council of Science Editors:
Curley C. Three essays on connections between personal life and economic outcomes. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/189352

Colorado State University
7.
Fagan, Jesse M.
Evolution of community structure in the system of global environmental governance.
Degree: MA, Sociology, 2011, Colorado State University
URL: http://hdl.handle.net/10217/47269
► Self-organization can arise in systems where actors interact in non-trivial ways and adapt their rule-sets in response to their environment. In the global system of…
(more)
▼ Self-organization can arise in systems where actors interact in non-trivial ways and adapt their rule-sets in response to their environment. In the global system of environmental governance (GSEG), countries that interact frequently develop cultures of practice and aggregate into larger structures or communities. Network analysis provides a powerful set of tools to describe the evolution and composition of observed communities. Methods developed for bipartite networks are used to consider the behavior of countries and agreements simultaneously in the years between 1950 and 2000. Specifically, the BRIM algorithm, a bipartite adaptation of Newman's eigenvector method of community discovery, is implemented to identify the borders of densely connected international environmental communities. Our analysis of community structure provides a more precise quantification of the evolution of the international environmental system of governance noted by regime theorists.
Advisors/Committee Members: Zahran, Sammy J. (advisor), Lacy, Michael (committee member), Betsill, Michele Merrill, 1967- (committee member).
Subjects/Keywords: community structure; social network analysis; network analysis; international environmental treaties; dynamic network
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APA ·
Chicago ·
MLA ·
Vancouver ·
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Export
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APA (6th Edition):
Fagan, J. M. (2011). Evolution of community structure in the system of global environmental governance. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/47269
Chicago Manual of Style (16th Edition):
Fagan, Jesse M. “Evolution of community structure in the system of global environmental governance.” 2011. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/47269.
MLA Handbook (7th Edition):
Fagan, Jesse M. “Evolution of community structure in the system of global environmental governance.” 2011. Web. 08 Mar 2021.
Vancouver:
Fagan JM. Evolution of community structure in the system of global environmental governance. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/47269.
Council of Science Editors:
Fagan JM. Evolution of community structure in the system of global environmental governance. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/47269

Colorado State University
8.
Underwood, Anthony J.
Household carbon dioxide emissions in the United States: the role of demographic change.
Degree: PhD, Economics, 2013, Colorado State University
URL: http://hdl.handle.net/10217/78873
► This dissertation is comprised of five chapters discussing the importance of the measurement of household carbon dioxide emissions and the demographic determinants of those emissions…
(more)
▼ This dissertation is comprised of five chapters discussing the importance of the measurement of household carbon dioxide emissions and the demographic determinants of those emissions in developing an understanding of anthropogenic climate change and the potential for future carbon dioxide emissions mitigation strategies. Chapter 1 discusses the scientific consensus regarding the impact of human activities in generating global warming and the effects of this warming on the earth's climate. In Chapter 2, I first discuss the Consumer Expenditure Survey data compiled and the methodology used to measure household carbon intensity of expenditures and carbon dioxide emissions, combining economic input-output modeling with a life cycle assessment modeling to track industry to industry transactions and the corresponding resource use from extraction to end use disposal. Second, I show that carbon pricing policies are indeed regressive with lower income households having significantly higher carbon intensities of consumption. As suggested in the previous literature, this result stems from the allocation of household expenditures among direct and indirect uses of energy. This expenditure allocation decision is driven, not only by household income, but also by characteristics that vary over the life course, most notably household size and composition. Therefore, lastly I show that household carbon dioxide emissions and intensities follow distinct trajectories over the life cycle, independent of household income, resulting from a reallocation of expenditures necessitated by the evolving needs of households at different stages in the life cycle. In Chapter 3, I discuss the demographic characteristics that are the drivers of the variation in emissions and intensities among heterogeneous households and how these demographic characteristics have changed, on average, over the past few decades in the United States. Of these changes, most notable are changes in mean household size, the age of household head, and the proportion of one- and two-person households. As baby boomers begin to retire and young individuals choose delay or forego household formation, expenditure allocation decisions of the average household are evolving, thereby changing the relationship between population growth and carbon dioxide emissions in the United States. In Chapter 4, to formalize the channel through which these changing dynamics of population growth and CO2 emissions occur, I first generate age-emissions profiles to show the importance of the age of a household member in contributing to total household emissions. I find that children contribute dramatically less than an adult and elderly contribute relatively less than an adult, but more than a child; results which are consistent with findings in the previous literature. In other words, an individual follows a distinct trajectory of emissions over their lifetime. The magnitude of this emissions curve is being attenuated over time as a result of improvements in energy efficiency, but these reductions…
Advisors/Committee Members: Kling, Robert (advisor), Zahran, Sammy (advisor), Iverson, Terrence (committee member), Costanigro, Marco (committee member).
Subjects/Keywords: carbon dioxide emissions; climate change; demographic change; economies of scale; household expenditures
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Underwood, A. J. (2013). Household carbon dioxide emissions in the United States: the role of demographic change. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/78873
Chicago Manual of Style (16th Edition):
Underwood, Anthony J. “Household carbon dioxide emissions in the United States: the role of demographic change.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/78873.
MLA Handbook (7th Edition):
Underwood, Anthony J. “Household carbon dioxide emissions in the United States: the role of demographic change.” 2013. Web. 08 Mar 2021.
Vancouver:
Underwood AJ. Household carbon dioxide emissions in the United States: the role of demographic change. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/78873.
Council of Science Editors:
Underwood AJ. Household carbon dioxide emissions in the United States: the role of demographic change. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/78873

Colorado State University
9.
Keyes, Christopher James.
Health and human capital effects of lead exposure.
Degree: PhD, Economics, 2020, Colorado State University
URL: http://hdl.handle.net/10217/219582
► The legacy of lead in the United States is complex and intertwined with public health. As concerns over the toxicity of lead increased with time,…
(more)
▼ The legacy of lead in the United States is complex and intertwined with public health. As concerns over the toxicity of lead increased with time, policy makers responded with a series of national policies aimed at minimizing the risk of lead exposure across society. One such policy, the Clean Air Act (CAA), set a timeline for the removal of lead from gasoline beginning in 1975. This policy would target the anti-knock lead additive tetraethyl-lead (TEL), which was used to boost gasoline octane and improve engine performance (Needleman, 2000; Reyes, 2007). Over the following two decades, the flow of lead entering the environment from automobile emissions decreased precipitously. This dissertation exploits a natural experiment in lead exposure arising from the differential phase-out of leaded gasoline across states under the CAA. Though the policy was implemented at the national level, enforcement took place at the producer level, creating exogenous variation in lead emissions from automobile exhaust across states and over time. Since lead dust from automobile emissions was a significant source of lead exposure over the period, we leverage this spatial and temporal variation as a quasi-random vector of lead exposure. Chapter one summarizes the CAA, and the historical significance of the policy as it relates to public health. Using blood lead levels (BLLs) from The Second National Health Nutrition and Exercise Survey (NHANESII) as a bio-marker for lead exposure, this paper models the lead exposure effect of the policy. Combining annual gasoline sales and gasoline lead concentrations at the
state level, the steps taken to construct the variables proxying for lead exposure following the CAA are detailed at length. The empirical strategy applied in this chapter is used to identify the causal effect of the phase out on lead exposure, and is carried over in the following two chapters. Much of the research focusing on the effects of lead exposure emphasize the risk faced by children, who are particularly susceptible to even minute quantities in the first five years of life. Chapter two tests the hypothesis that lead exposure in childhood impacts cognitive ability and the presence of abnormal latent preferences toward risk and uncertainty in adulthood. Applying the identification strategy detailed in Chapter one, to a nationally representative sample of individuals born during a period of significant reductions in leaded gasoline emissions, we find considerable evidence supporting the causal effect of childhood lead exposure and later in life outcomes. Across a series of tests, we find that BLLs in childhood are a significant predictor of: 1) IQ loss, measured with standardized test scores; 2) increased likelihood of low-IQ outcomes in exposure levels; and 3) increased abnormal risk response across a series of situations involving uncertain outcomes. The results presented in this paper illustrate the significance and persistent affect of early in life lead exposure. An underappreciated medium of child exposure to flow and…
Advisors/Committee Members: Zahran, Sammy (advisor), Mushinski, David (committee member), Cutler, Harvey (committee member), Manning, Dale (committee member).
Subjects/Keywords: gasoline; Pb; tetraethyl; lead; emissions; TEL
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Keyes, C. J. (2020). Health and human capital effects of lead exposure. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/219582
Chicago Manual of Style (16th Edition):
Keyes, Christopher James. “Health and human capital effects of lead exposure.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/219582.
MLA Handbook (7th Edition):
Keyes, Christopher James. “Health and human capital effects of lead exposure.” 2020. Web. 08 Mar 2021.
Vancouver:
Keyes CJ. Health and human capital effects of lead exposure. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/219582.
Council of Science Editors:
Keyes CJ. Health and human capital effects of lead exposure. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/219582

Colorado State University
10.
McKee, Sophie.
Economic consequences of health shocks, The.
Degree: PhD, Economics, 2018, Colorado State University
URL: http://hdl.handle.net/10217/193168
► This dissertation is composed of three chapters which examine the extent of reverse causation or the causal pathway in going from health to financial components…
(more)
▼ This dissertation is composed of three chapters which examine the extent of reverse causation or the causal pathway in going from health to financial components of social economics status (SES) on the heath-SES gradient in Western Europe. In Chapter 1, I construct two population health metrics for survey-based data suitable for analysis across time and populations. To do so, I combine objective health indicators with the information available in the Survey of Health, Ageing, and Retirement in Europe (SHARE) dataset regarding health functioning and prognosis, and develop a strategy to assess and quantify a multidimensional concept of health that minimizes the influence of subjective factors (country, wave, age, and labor status) in the assessment process. The first variable, Health Stock, is an objective comprehensive health metric, which is a composite of an individual's level of function at a point in time as well as their expected transition to other levels of health in the future. The second variable - referred to as Functioning Stock – is restricted to the objective measures of an individual's level of function. In Chapter 2, I investigate the short term impacts of negative health shocks on the labor outcomes of working individuals across levels of education and country of residence in Western Europe. I propose a new definition of negative health shock as the onset of a decrease between two consecutive periods in the Functioning Stock, whose magnitude exceeds a given threshold (in percentage terms). The analysis identifies three countries (Switzerland, Sweden, and Spain) that are best at mitigating the occurrence of negative health shocks, other things held equal. I then show that on average in the European countries examined, labor outcomes are dose-responsive with the intensity of the health shock, and that the impact of a health shock is "U-shaped" across levels of education: compared to workers with a medium or high levels of education, the probability of having work as the only source of personal income ("working only") for low-skilled workers and for college-educated workers is less affected by the occurrence of a health shock. Assuming the loss of earned income is not fully compensated by benefits, we could infer that in the short term, reverse causation for negative health shocks could be steepening the slope of the SES-Wealth gradient for workers with the middle range level of education. I then investigate the cross-country variation in the magnitude of the impact of a health shock on the probability to continue "working only". First, we find that the rates of people left without labor income or benefits are extremely low in every country considered, indicating that social safety nets are effective. Without delving into the complexities of the country-specific social insurance systems and the associated variation in benefit generosity, it is impossible to conclude on the relative magnitude of reverse causation across countries. However, two groups of countries stand out by the way workers maintain a…
Advisors/Committee Members: Zahran, Sammy (advisor), Mushinski, David (advisor), Pena, Anita (committee member), Stallones, Lorann (committee member).
Subjects/Keywords: health shocks; labor supply; health-wealth gradient; benefit trap
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APA (6th Edition):
McKee, S. (2018). Economic consequences of health shocks, The. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193168
Chicago Manual of Style (16th Edition):
McKee, Sophie. “Economic consequences of health shocks, The.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/193168.
MLA Handbook (7th Edition):
McKee, Sophie. “Economic consequences of health shocks, The.” 2018. Web. 08 Mar 2021.
Vancouver:
McKee S. Economic consequences of health shocks, The. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/193168.
Council of Science Editors:
McKee S. Economic consequences of health shocks, The. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193168

Colorado State University
11.
Briggs, Thomas.
Suicide mortality, economics and subgroup segregation.
Degree: PhD, Economics, 2020, Colorado State University
URL: http://hdl.handle.net/10217/208541
► In the United States, suicide is typically theorized as an individual act, and as symptom of a mental disorder. However, evidence shows that those who…
(more)
▼ In the United States, suicide is typically theorized as an individual act, and as symptom of a mental disorder. However, evidence shows that those who die of suicide (e.g., by sex, race) varies depending on cultural, social and economic factors. Research on the contexts of suicide has been marked by several limitations, including a tendency to analyze social and economic factors separately, and also a disregard for the combined role of sex and ethnicity in the relationship between social and economic factors and suicide. This study compares current statistics with past research and offers a different methodology in the estimation and model construction of the socioeconomic determinants of suicide. By examining the association between social and economic indicators and suicide among African descent men and women, as compared to European descent men and women in the United States, this study isolates the impact of business cycle fluctuations (as indicated by the unemployment rate) on socioeconomic flows in marital, educational and age groups. The first chapter compares previous research on suicide mortality conducted in Ruhm, (2000) over business cycles by exploiting socioeconomic data from 2005-2012. Using detailed suicide mortality data, I observe that previous trends in
state level suicide determination via the unemployment rate, hold over this time period. My research also expands upon Ruhm (2000) by accounting for race and gender specific socioeconomic means and suicide rates, I determine that the strong correlation between the unemployment rate and the suicide rate, only holds for whites, in particular white males. The association is insignificant for every other demographic at the
state level. I also estimated the association at the county level. In a comparison of the regions, county level aggregates found significance for each subgroup. A significant and negative association was found for blacks and significant and positive for whites. These results suggest that the detrimental effects of unemployment (alone) only affects whites, although the mechanism that increases suicide for blacks could be through other socioeconomic variables that are themselves impacted by the unemployment rate. The findings imply that the modeling technique used in previous research is not sufficient to obtain the appropriate results for every demographic subgroup or subregion. The second chapter studies the impact of socioeconomic status variables such as marital status, educational attainment, income level and inequality on the suicide count as well as regional controls on gun ownership and level of unemployment insurance. This section employs a zero-inflated negative binomial model, with modification for panel data. Results indicated that unemployment was significantly positive only for white males. Marriage has a significant and negative impact on every demographic subgroup with the exception of black females. The impact of inequality on black males and females was much more positive and significant by magnitude than that for white…
Advisors/Committee Members: Pena, Anita Alves (advisor), Bernasek, Alexandra (advisor), Zahran, Sammy (committee member), Canetto, Silvia (committee member).
Subjects/Keywords: socioeconomic; suicide; stratification; business cycle
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Briggs, T. (2020). Suicide mortality, economics and subgroup segregation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/208541
Chicago Manual of Style (16th Edition):
Briggs, Thomas. “Suicide mortality, economics and subgroup segregation.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/208541.
MLA Handbook (7th Edition):
Briggs, Thomas. “Suicide mortality, economics and subgroup segregation.” 2020. Web. 08 Mar 2021.
Vancouver:
Briggs T. Suicide mortality, economics and subgroup segregation. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/208541.
Council of Science Editors:
Briggs T. Suicide mortality, economics and subgroup segregation. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208541

Colorado State University
12.
Breunig, Ian Michael.
Three essays on health and labor outcomes.
Degree: PhD, Economics, 2011, Colorado State University
URL: http://hdl.handle.net/10217/47327
► This dissertation is composed of three essays which examine the effects of health on labor market outcomes. Chapter 1 reviews the literature on health and…
(more)
▼ This dissertation is composed of three essays which examine the effects of health on labor market outcomes. Chapter 1 reviews the literature on health and the labor market. It also emphasizes the inherent endogeneity of health when included in models for labor market outcomes. It goes on to highlight the empirical methods most often used to accommodate that endogeneity. In chapter 2, I use 2000 to 2007 data from the Medical Expenditure Panel Survey (MEPS) to examine the role of health status in decisions to transition to self-employment. Much of the past literature has incorporated health status in models for self-employment in a perfunctory fashion. I account for unobserved heterogeneity and endogenous initial conditions using a discrete factor random effects model. Three hypotheses for the direct effect of health on the self-employment decision are put forth. The indirect effect that health may have in determining one's valuation of health insurance coverage is controlled for in the model. Regression results indicate that individuals who experience any sort of functioning limitation, or who report relatively poorer health, are more likely to transition to self-employment over wage-employment, holding all else constant. Although the magnitude of the impact of health status varies between two sub-groups of the population studied. Chapter 3 examines the extent to which a spouse's ill-health influences the labor supply decisions of the older men and women. Spouses' ill-health is likely to affect their partner's labor supply decision in off-setting ways. I control for the income effect due to the increase in the probability of an ill spouse to leave the labor force. Therefore, my estimates reflect the direct impact of a spouse's ill-health on the partner's labor supply decision through its effect on the partner's reservation wage. However, it is likely that spouses' earnings are endogenous in these models due to unobserved characteristics common to husbands and wives. I find that the estimated effect of a wife's ill health on their partner's labor supply decision is dependent on whether I instrument the spouse's earnings. I also find that the estimated effect of husbands' and wives' ill health on their partners' labor supply decision is dependent on the health measure used in the models.
Advisors/Committee Members: Mushinski, David W. (advisor), Shields, Martin (committee member), Weiler, Stephan (committee member), Zahran, Sammy J. (committee member).
Subjects/Keywords: discrete factor method; health; labor force transitions; labor supply; older workers; self-employment
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Breunig, I. M. (2011). Three essays on health and labor outcomes. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/47327
Chicago Manual of Style (16th Edition):
Breunig, Ian Michael. “Three essays on health and labor outcomes.” 2011. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/47327.
MLA Handbook (7th Edition):
Breunig, Ian Michael. “Three essays on health and labor outcomes.” 2011. Web. 08 Mar 2021.
Vancouver:
Breunig IM. Three essays on health and labor outcomes. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/47327.
Council of Science Editors:
Breunig IM. Three essays on health and labor outcomes. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/47327

Colorado State University
13.
Soentoro, Edy Anto.
Integrated decision-making for urban raw water supply in developing countries.
Degree: PhD, Civil and Environmental Engineering, 2011, Colorado State University
URL: http://hdl.handle.net/10217/50159
► Rapid urbanization and development are causing severe problems of raw water extraction and related environmental and social impacts in developing countries. This study demonstrated that…
(more)
▼ Rapid urbanization and development are causing severe problems of raw water extraction and related environmental and social impacts in developing countries. This study demonstrated that an integrated approach to decision making could help solve these problems. A case study of raw water management in the region of Jabotabek, Indonesia, which is in and around Jakarta, exhibited social and environmental problems including land-subsidence. The integrated approach was applied in a simulated planning process for raw water development, to include consideration of the economic, environmental and social demands, the hydrological system, and the institutional systems that exist in particular areas. Simulation and optimization techniques (Supply_sim model) were used to determine the planned water allocation for a series of demand clusters for a suite of alternatives and development strategies. A multi-criteria decision analysis (MCDA) based on a decision support system (DSS) was used as an Integrated Decision-Making model to analyze the important and related aspects as one integrated system and to find the best set of decision options. The overall result of the study showed that the integrated approach could improve the decision process to solve the problem. However, its success ultimately depends on the political will of the government to apply the approach. The government needs to improve coordination among the institutions related to raw water supply development and to carry out a transparent decision-making process. Regulations on land-use planning, groundwater abstraction and water pollution control should be applied strictly and aimed to maintain raw water sources. The study also showed that a decision process tool such as the DSS within an integrated framework of decision making could help decision makers to reach consensus and gain stakeholder participation, accountability and commitment to the decision being made. In dealing with complex raw water problems in large cities, the study also showed that planning systems could help decision makers to think systematically to improve the decision results.
Advisors/Committee Members: Grigg, Neil S. (advisor), Fontane, Darrell G. (committee member), Vlachos, Evan C. (committee member), Zahran, Sammy (committee member).
Subjects/Keywords: urban raw water supply; simulation; water resources development; MCDA (multi-criteria decision analysis); optimization
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Soentoro, E. A. (2011). Integrated decision-making for urban raw water supply in developing countries. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/50159
Chicago Manual of Style (16th Edition):
Soentoro, Edy Anto. “Integrated decision-making for urban raw water supply in developing countries.” 2011. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/50159.
MLA Handbook (7th Edition):
Soentoro, Edy Anto. “Integrated decision-making for urban raw water supply in developing countries.” 2011. Web. 08 Mar 2021.
Vancouver:
Soentoro EA. Integrated decision-making for urban raw water supply in developing countries. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/50159.
Council of Science Editors:
Soentoro EA. Integrated decision-making for urban raw water supply in developing countries. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/50159

Colorado State University
14.
Ganguly, Arpan.
Three essays on globalization of trade and structures of economic growth and (under) development: comparative analysis of advanced and emerging nations.
Degree: PhD, Economics, 2020, Colorado State University
URL: http://hdl.handle.net/10217/208594
► With the rise of neoliberal perspectives on economic policy and development in the 1980s came a new phase of globalization in the world economy. Quantitative…
(more)
▼ With the rise of neoliberal perspectives on economic policy and development in the 1980s came a new phase of globalization in the world economy. Quantitative increases in trade and financial flows, coupled with qualitative changes in corporate strategy and governance have been elemental to this process. Globalization of trade and production has integrated developed and underdeveloped regions of the world in a process of capitalist expansion and accumulation, one that has at times delivered bouts of growth in some countries, but little in terms of economic development or improvements in employment in others. This dissertation seeks to understand linkages between the globalization of trade and structures of development and under-development. Chapter 1 empirically evaluates the impact of trade and globalization on the quality of employment, particularly wage inequality by skill type and the functional distribution of income. This paper argues that rather than changes in relative prices, the link between trade and wage inequality is better explained by the mechanism of skill-intensity reversals. This is evident in trade's negative impact on less-skilled labor's skill intensity in production. Particularly for emerging nations, gains from external integration based on exploiting resource or skill-based differences in comparative advantage seems to have become transitory over time. Chapter 2 models the multifaceted impacts of trade and globalization on economic growth, using principal component analysis to differentiate among groups of countries based on how global capital interacts with domestic macroeconomic structures. This paper ties together a wide range of structuralist growth models to provide a unified narrative on regimes of globalization and growth. Chapter 3 evaluates the impact of trade globalization on economic development through its impact on structural change. This paper groups the analysis of regional differences in structural change in the development literature into three broad categories. Data on sectoral composition of value-added trade, output and employment is used to emphasize these regional dynamics, highlighting how internal and external constraints on the industrial sector lie at the heart of these challenges.
Advisors/Committee Members: Braunstein, Elissa (advisor), Vasudevan, Ramaa (advisor), Tavani, Daniele (committee member), Zahran, Sammy (committee member), Stevis, Dimitris (committee member).
Subjects/Keywords: global value chains; international development; economic growth; labor relations; globalization of trade
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ganguly, A. (2020). Three essays on globalization of trade and structures of economic growth and (under) development: comparative analysis of advanced and emerging nations. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/208594
Chicago Manual of Style (16th Edition):
Ganguly, Arpan. “Three essays on globalization of trade and structures of economic growth and (under) development: comparative analysis of advanced and emerging nations.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/208594.
MLA Handbook (7th Edition):
Ganguly, Arpan. “Three essays on globalization of trade and structures of economic growth and (under) development: comparative analysis of advanced and emerging nations.” 2020. Web. 08 Mar 2021.
Vancouver:
Ganguly A. Three essays on globalization of trade and structures of economic growth and (under) development: comparative analysis of advanced and emerging nations. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/208594.
Council of Science Editors:
Ganguly A. Three essays on globalization of trade and structures of economic growth and (under) development: comparative analysis of advanced and emerging nations. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208594

Colorado State University
15.
Maloney, Timothy D.
Quantification of performance, damage, and risk to light wood frame buildings subjected to tornadoes and expansive soils.
Degree: MS(M.S.), Civil and Environmental Engineering, 2017, Colorado State University
URL: http://hdl.handle.net/10217/185658
► Each year, damage to infrastructure caused by the uncorrelated hazards of tornadoes and expansive soils is on the order of billions of dollars. The monetary…
(more)
▼ Each year, damage to infrastructure caused by the uncorrelated hazards of tornadoes and expansive soils is on the order of billions of dollars. The monetary losses caused by each hazard alone are reason for concern. For tornados, however, the impact can be devastating and extend beyond monetary loss. Furthermore, the presence of expansive soils can exacerbate life-safety concerns during a tornado by limiting construction of underground shelters such as basements. It is not uncommon for communities to be crippled by damage to critical infrastructure such as businesses, homes, utility networks, and emergency facilities. This destruction can limit a community's ability to support its population in the short-term which can lead to significant outmigration that may be difficulty to recover from. The ability of a community to plan for and recover from such hazards is referred to as community resilience. The major goal of this research is to contribute to the development of a set of standards and guidelines for resilient community design. Specifically, this study aims to link the performance of individual building components to building system performance, so that the effect of implementing a change in standard construction techniques (i.e. recommending that homes be constructed with hurricane clips) can be quantified. The work herein focuses on light wood frame residential buildings constructed with methods typical in the American heartland. The research approach taken herein was to develop detailed finite element (FE) models to capture building system performance and individual building component behavior under expansive soil and tornado loading. The level of detail used in the FE models allows the interaction between building components to be captured to a higher degree than previously possible. Knowledge of the demand on building components gained from the FE analysis was then applied to perform statistical analysis to quantify the performance of several building archetypes chosen to represent the residential building portfolio in a typical community located in the US heartland. The performance of the typical archetypes was then analyzed to identify deficient building components and compared to target resilience performance levels provided by research partners at the
University of Oklahoma. The effect of implementing various improved construction techniques was then examined in an effort to meet the resilience performance targets. This study revealed that, typically, light wood frame residential construction that is common in tornado prone areas of the U.S. is not sufficient to meet the resiliency goals considered in this study. This is unsurprising considering the historical lack of consideration given to tornado hazards in U.S. design codes and standards. Similarly, it was found that typical masonry block basement wall construction was insufficient to withstand loading from expansive soils without sustaining damage. This is also not surprising because many people in expansive soil prone areas choose to forgo…
Advisors/Committee Members: Mahmoud, Hussam N. (advisor), Ellingwood, Bruce R. (advisor), van de Lindt, John W. (committee member), Zahran, Sammy (committee member).
Subjects/Keywords: expansive soils; light wood frame; community resilience; tornado; finite element modeling
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Maloney, T. D. (2017). Quantification of performance, damage, and risk to light wood frame buildings subjected to tornadoes and expansive soils. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/185658
Chicago Manual of Style (16th Edition):
Maloney, Timothy D. “Quantification of performance, damage, and risk to light wood frame buildings subjected to tornadoes and expansive soils.” 2017. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/185658.
MLA Handbook (7th Edition):
Maloney, Timothy D. “Quantification of performance, damage, and risk to light wood frame buildings subjected to tornadoes and expansive soils.” 2017. Web. 08 Mar 2021.
Vancouver:
Maloney TD. Quantification of performance, damage, and risk to light wood frame buildings subjected to tornadoes and expansive soils. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/185658.
Council of Science Editors:
Maloney TD. Quantification of performance, damage, and risk to light wood frame buildings subjected to tornadoes and expansive soils. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/185658

Colorado State University
16.
Hu, Yuchen.
Essays on the economics of natural disasters.
Degree: PhD, Economics, 2020, Colorado State University
URL: http://hdl.handle.net/10217/211772
► Natural hazards occur frequently, and the costs associated with these events are well into the billions of dollars. The rising frequency and costs from natural…
(more)
▼ Natural hazards occur frequently, and the costs associated with these events are well into the billions of dollars. The rising frequency and costs from natural disasters require a comprehensive understanding of its impacts on the economic system and mitigation strategies for local communities that can minimize these losses. The purpose of Chapter 1 is to demonstrate a linkage between civil engineering and economic models to accomplish these objectives. To do this, I build a spatial computable general equilibrium model (SCGE) for Shelby County in Tennessee that requires an extensive data set dependent upon eight different data sources. I then develop advanced methods that integrate simulation models from engineering and economics. Civil engineers have created a range of simulation models that estimates the impact of a hypothetical earthquake on damages to buildings, utilities, and transportation network. These damages are integrated into the SCGE model to simulate a range of economic outcomes. I find that the SCGE model is more advanced in capturing the adjustment behaviors of businesses and households to external shocks compared to previous attempts. I also find that to better estimate the economic impacts, we need to simulate the model with the three types of physical damages jointly and not individually. Chapter 2 investigates a hidden layer of the impact of natural disasters, which is the spillover effect due to disaster-induced migration on the receiving areas' labor markets. Using the difference in difference approach, I empirically compare the hourly wage rates in areas that received the evacuees from Hurricane Katrina to areas that didn't. I find that in the export-oriented industry, the inflow of migrants due to Katrina slightly reduces the hourly wage rates for both the low and the high-skilled workers. However, in the localized industries where the inflow of the migrants also increased the demand for local goods and services, the inflow of evacuees raises the hourly wage rates the high-skilled workers and imposes no significant impacts for the low-skilled workers. These results are consistent with previous literature in that immigrants did impact the local labor markets but at a small magnitude. Chapter 3 proposes the setup of a Rainy-Day Fund (RDF) through tax increase/hikes for local governments in preparing for external shocks in the future. To minimize the costs of tax hikes to the economy and achieve the target amount of RDF, I use the SCGE model developed in Chapter 1 to solve for an optimal path of tax hikes over time. The process starts with an endogenized cost function measured by the foregone output that could be produced had there been no changes in the tax system. Built on the profit and utility maximization in response to changes in taxes, the cost function expands the theoretical setup of Barro (1979) and Ghosh (1995) by allowing any factors that influence the output to enter the optimization process. Moreover, the cost function in any period depends on not only the tax rates in that period…
Advisors/Committee Members: Cutler, Harvey (advisor), Zahran, Sammy (committee member), Mushinski, David (committee member), van de Lindt, John (committee member).
Subjects/Keywords: labor market; natural disaster; migration; CGE
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Hu, Y. (2020). Essays on the economics of natural disasters. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/211772
Chicago Manual of Style (16th Edition):
Hu, Yuchen. “Essays on the economics of natural disasters.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/211772.
MLA Handbook (7th Edition):
Hu, Yuchen. “Essays on the economics of natural disasters.” 2020. Web. 08 Mar 2021.
Vancouver:
Hu Y. Essays on the economics of natural disasters. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/211772.
Council of Science Editors:
Hu Y. Essays on the economics of natural disasters. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/211772
17.
Boyne, John R.
Elderly migration and natural disasters in the United States from 1960 to 2010.
Degree: MA, Sociology, 2015, Colorado State University
URL: http://hdl.handle.net/10217/166856
► The United States is a rapidly aging society. As a larger proportion of the population enters into the retirement years, it is likely that a…
(more)
▼ The United States is a rapidly aging society. As a larger proportion of the population enters into the retirement years, it is likely that a larger portion of the nation's migrants will be elderly. Over the last four decades, natural disasters have also been increasing in frequency and scale across the United States. This thesis draws together two different data sets in order to test the relationship between the two variables, elderly migration and natural disaster loss. The purpose of this thesis is to examine whether migration patterns among the elderly are influenced by natural disaster risk across the country. After a brief introduction, the thesis offers a review of the literature regarding elderly migration in the United States and an exploration of the particular vulnerabilities that the elderly face before, during, and after natural disasters. Then, the thesis reviews the relationship between migration and natural disasters, specifically focusing on climate change, economic development, and amenities. Natural disaster data ranged from 1960 to 2000 and elderly migration data ranged from 1970 to 2010. A fixed effects panel regression model was used to measure the effect natural disaster damage on elderly migration patterns at the county level. The previous decade's disaster damage data was measured against the following decade's elderly migration patterns. The analysis showed statistical significance between several of the variables but little substantive effect between natural disaster damage and elderly migration across the United States measuring across multiple variables of natural disaster data including per capita damage, number of events experienced and number of extreme events experienced. As the elderly continue to comprise a larger proportion of the population and as migration rates continue to rise among this age group, an understanding of the unique relationship between this age group and the risk of natural disasters will help at-risk communities more effectively prepare for extreme events. Although there are limitations to this project, the research contributes to the emerging research field of elderly migration and natural disaster vulnerability.
Advisors/Committee Members: Lacy, Michael (advisor), Peek, Lori (advisor), Zahran, Sammy (committee member).
Subjects/Keywords: elderly; disasters; migration
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Boyne, J. R. (2015). Elderly migration and natural disasters in the United States from 1960 to 2010. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166856
Chicago Manual of Style (16th Edition):
Boyne, John R. “Elderly migration and natural disasters in the United States from 1960 to 2010.” 2015. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/166856.
MLA Handbook (7th Edition):
Boyne, John R. “Elderly migration and natural disasters in the United States from 1960 to 2010.” 2015. Web. 08 Mar 2021.
Vancouver:
Boyne JR. Elderly migration and natural disasters in the United States from 1960 to 2010. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/166856.
Council of Science Editors:
Boyne JR. Elderly migration and natural disasters in the United States from 1960 to 2010. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166856
18.
Zhang, Zuoyou.
Treatment of shale oil and gas produced water using membrane distillation combined with effective pretreatment.
Degree: MS(M.S.), Civil and Environmental Engineering, 2019, Colorado State University
URL: http://hdl.handle.net/10217/195354
► Fossil energy is indispensable for society development. Shale oil and gas as unconventional energy resource plays an important role in improving the energy security of…
(more)
▼ Fossil energy is indispensable for society development. Shale oil and gas as unconventional energy resource plays an important role in improving the energy security of U.S. But the exploitation of shale oil and gas is accompanied by substantial freshwater consumption and wastewater generation. The wastewater generated from shale oil and gas production contains large amounts of salts, particles, and petroleum-associated pollutants, inevitably imposing harmful consequences to the ecological environment if not properly treated. Effective treatment of shale oil and gas wastewater, ideally for beneficial reuse, is essential in promoting sustainability of shale oil and gas production at the water-energy nexus. In this thesis, I am focusing on developing an integrated treatment train that enables effective treatment of shale oil and gas produced water. Membrane distillation (MD), an emerging membrane desalination technology, was performed in tandem with simple and inexpensive pretreatment steps, namely precipitative softening (PS) and walnut shell filtration (WSF). A laboratory-scale MD system was designed and built at
Colorado State University, and produced water generated from the Wattenberg field in northeast
Colorado was collected and treated by the PS-WSF-MD system. My results demonstrated that PS removed various particulate, organic, and inorganic foulants, and thus mitigate fouling and scaling potential of the produced water. WSF displayed exceptional efficiencies (≥95%) in eliminating volatile toxic compounds including benzene, ethylbenzene, toluene, and xylenes (BTEX) along with additional gasoline and diesel range organic contaminants. With pretreatment, the water vapor flux of MD decreased by only 10% at a total water recovery of 82.5%, with boron and total BTEX concentrations in the MD distillate meeting the regulatory requirements for irrigation and typical discharge limits, respectively. The use of pretreatment also led to robust membrane reusability within three consecutive treatment cycles, with MD water flux fully restored after physical membrane cleaning. The results of this thesis highlight the necessity of pretreatment prior to MD treatment of produced water and demonstrate the potential of the developed treatment train to achieve a cost-effective and on-site wastewater treatment system that improves the sustainability of the shale oil and gas industry. At last, an economic and technical assessment of MD-based wastewater treatment system was performed. The cost of the treatment system developed in this thesis was evaluated, and the results indicated that the cost of MD-based treatment system is around 0.29-0.87/barrel. Further investigation is needed to validate the economic feasibility of MD-based treatment system when applied at full-scale in the oil and gas fields.
Advisors/Committee Members: Tong, Tiezheng (advisor), Carlson, Kenneth H. (committee member), Zahran, Sammy J. (committee member).
…Julesburg Basin. The photo is taken by Zuoyou Zhang at Colorado State University. ... 6
Figure 5… …The photo is taken by Zuoyou Zhang at Colorado State University.
As for shale oil and gas… …Colorado State University. Figure 7 shows a schematic diagram of the lab-scale MD system. In
this… …located
at Colorado State University (Fort Collins, CO) within 2 h after collection…
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APA (6th Edition):
Zhang, Z. (2019). Treatment of shale oil and gas produced water using membrane distillation combined with effective pretreatment. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195354
Chicago Manual of Style (16th Edition):
Zhang, Zuoyou. “Treatment of shale oil and gas produced water using membrane distillation combined with effective pretreatment.” 2019. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/195354.
MLA Handbook (7th Edition):
Zhang, Zuoyou. “Treatment of shale oil and gas produced water using membrane distillation combined with effective pretreatment.” 2019. Web. 08 Mar 2021.
Vancouver:
Zhang Z. Treatment of shale oil and gas produced water using membrane distillation combined with effective pretreatment. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/195354.
Council of Science Editors:
Zhang Z. Treatment of shale oil and gas produced water using membrane distillation combined with effective pretreatment. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195354
19.
Villar, Daniel Clark.
Analysis of housing values and national flood insurance reform under the Biggert-Waters Act of 2012, An.
Degree: MS(M.S.), Agricultural and Resource Economics, 2015, Colorado State University
URL: http://hdl.handle.net/10217/170371
► Previous research has shown that both flood risk and insurance premiums are capitalized in housing values. This paper examines the effect of National Flood Insurance…
(more)
▼ Previous research has shown that both flood risk and insurance premiums are capitalized in housing values. This paper examines the effect of National Flood Insurance Program reform implemented by the Biggert Waters Act of 2012 and the Homeowners Flood Insurance Affordability Act of 2014 on housing values over a three-and-a-half year time period. It is hypothesized that the effects of increasing flood insurance rates through the elimination of established subsidies was capitalized in home values resulting in a loss of value in areas where subsidies are maintained. The paper presents a hedonic price difference-in-difference OLS model which is then tested for flexibility to the policy period and robustness to the treatment group. The evidence indicates that (1) housing values trend differently for areas with subsidies than areas without and (2) that this effect is correlated with flood insurance reform periods and robust to the definition of the treatment group. I conclude that the Biggert-Waters Act had a negative impact on median home values for areas with subsidized policies.
Advisors/Committee Members: Goemans, Christopher (advisor), Suter, Jordan (committee member), Zahran, Sammy (committee member).
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APA ·
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APA (6th Edition):
Villar, D. C. (2015). Analysis of housing values and national flood insurance reform under the Biggert-Waters Act of 2012, An. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/170371
Chicago Manual of Style (16th Edition):
Villar, Daniel Clark. “Analysis of housing values and national flood insurance reform under the Biggert-Waters Act of 2012, An.” 2015. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/170371.
MLA Handbook (7th Edition):
Villar, Daniel Clark. “Analysis of housing values and national flood insurance reform under the Biggert-Waters Act of 2012, An.” 2015. Web. 08 Mar 2021.
Vancouver:
Villar DC. Analysis of housing values and national flood insurance reform under the Biggert-Waters Act of 2012, An. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/170371.
Council of Science Editors:
Villar DC. Analysis of housing values and national flood insurance reform under the Biggert-Waters Act of 2012, An. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/170371
20.
Hassan, S. M. Kamrul.
Impacts of flooding on the rice production of Bangladesh: a panel data study.
Degree: MA, Economics, 2019, Colorado State University
URL: http://hdl.handle.net/10217/197396
► This paper attempts to measure the impact of flooding on rice production in Bangladesh by using two versions of econometric model, namely a total production…
(more)
▼ This paper attempts to measure the impact of flooding on rice production in Bangladesh by using two versions of econometric model, namely a total production model and a yield model. The production model uses tons of production as the dependent variable while the yield model uses the log of yield which has been defined as tons per acre. The findings from the production model suggest the vulnerability of the boro variety of rice, as it appears to have meaningful coefficients with flood damage indicator variables. The spatial dimensions of vulnerability become apparent as some districts appear to have more damaging impacts on several varieties of rice even while the national level estimates do not reveal the fact. But with both negative and positive flooding effects, the overall trend of rice production signifies the resilience and development achieved in this sector. The yield model uses similar variables to the production model, but normalizes them and drops some control due to the presence of multicollinearity. But while this second model has theoretically appealing attributes, the findings are not meaningful or significant as only one of the concerned variables gives the expected effects signs. This puts a caution in the transformation of the variables used in panel data regression.
Advisors/Committee Members: Kling, Robert (advisor), Zahran, Sammy (committee member), Bayhem, Jude (committee member).
Subjects/Keywords: Aus; Boro; flooding; Bangladesh agriculture; Aman; disaster
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Export
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APA (6th Edition):
Hassan, S. M. K. (2019). Impacts of flooding on the rice production of Bangladesh: a panel data study. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/197396
Chicago Manual of Style (16th Edition):
Hassan, S M Kamrul. “Impacts of flooding on the rice production of Bangladesh: a panel data study.” 2019. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/197396.
MLA Handbook (7th Edition):
Hassan, S M Kamrul. “Impacts of flooding on the rice production of Bangladesh: a panel data study.” 2019. Web. 08 Mar 2021.
Vancouver:
Hassan SMK. Impacts of flooding on the rice production of Bangladesh: a panel data study. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/197396.
Council of Science Editors:
Hassan SMK. Impacts of flooding on the rice production of Bangladesh: a panel data study. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197396
21.
Levitt, Ryan J.
Essays on entrepreneurship and social capital in the wake of a catastrophic disaster.
Degree: PhD, Economics, 2019, Colorado State University
URL: http://hdl.handle.net/10217/195257
► Research on the economics of disasters has seen a surge in interest in recent years following a series of high-profile events, such as the 2004…
(more)
▼ Research on the economics of disasters has seen a surge in interest in recent years following a series of high-profile events, such as the 2004 Indian Ocean Tsunami, the 2005 Atlantic hurricane season, and the 2010 Haitian Earthquake (Cavallo et al., 2011). In the United States, recent hurricanes such as Harvey, Irma, and Maria have continued to draw attention to the economic consequences associated with catastrophic natural disasters. Both global climate change and the shifting of people and economic activity towards coastal areas increase the likelihood of major climatic disasters occurring in the future (Nordhaus, 2010). This dissertation utilizes Hurricane Katrina as a case study to investigate the various ways in which disasters impact a community, and the factors that both attenuate and exacerbate these impacts. The first chapter describes a framework for identifying the effects of a disaster. Using the synthetic control method, originally proposed by Abadie and Gardeazabal (2003) and Abadie et al. (2010), the chapter identifies the long-term population effects of Hurricane Katrina across the eight most damaged counties. Results highlight significant variation in terms of the magnitude of out-migration across these areas. Cross-county differences in population outcomes are largely the consequence of the severity of housing damage. Pre-existing county characteristics, such as the percent of the population with hazard insurance, were only weakly correlated with population outcomes. Results suggest a near unit-elastic relationship between the severity of housing damage and out-migration. Notable outliers include Jefferson and St. Tammany Parish, who experienced disproportionate out-migration due to the disaster. The paper argues that this is likely due to the significant amount of commuters that work in Orleans but reside in these two counties. The decision to return and rebuild one's home is dependent on whether one's neighbors plan to rebuild, if and when the government restores utilities and infrastructure, and whether surrounding businesses return. Because of the interdependent nature of these decisions, the process of disaster recovery is often characterized as a collective action problem, in which the degree of necessary coordination increases with the extent of out-migration. The second chapter seeks to test the hypothesis advanced by Storr et al. (2016) that entrepreneurs are important first movers in post-disaster environments. The chapter expands on the framework described in chapter one and applies the synthetic control method to all counties that experienced housing damages from Hurricane Katrina and/or Rita. Using these estimated effects as a dependent variable, the chapter explores the role of entrepreneurship in disaster recovery. Results indicate positive correlations between new firm formation and disaster recovery, both with respect to initial impacts, as well as throughout the recovery period. The final chapter investigates the impacts of Hurricane Katrina on social capital in the New Orleans…
Advisors/Committee Members: Zahran, Sammy (advisor), Iverson, Terry (advisor), Weiler, Stephan (committee member), Manning, Dale (committee member).
Subjects/Keywords: social capital; natural disasters
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APA ·
Chicago ·
MLA ·
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CSE |
Export
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APA (6th Edition):
Levitt, R. J. (2019). Essays on entrepreneurship and social capital in the wake of a catastrophic disaster. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195257
Chicago Manual of Style (16th Edition):
Levitt, Ryan J. “Essays on entrepreneurship and social capital in the wake of a catastrophic disaster.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/195257.
MLA Handbook (7th Edition):
Levitt, Ryan J. “Essays on entrepreneurship and social capital in the wake of a catastrophic disaster.” 2019. Web. 08 Mar 2021.
Vancouver:
Levitt RJ. Essays on entrepreneurship and social capital in the wake of a catastrophic disaster. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/195257.
Council of Science Editors:
Levitt RJ. Essays on entrepreneurship and social capital in the wake of a catastrophic disaster. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195257
22.
Do, Trung Quang.
Fragility approach for performance-based design in fluid-structure interaction problems, Part I: Wind and wind turbines, Part II: Waves and elevated coastal structures.
Degree: PhD, Civil and Environmental Engineering, 2016, Colorado State University
URL: http://hdl.handle.net/10217/176738
► This dissertation focuses on a methodology for performance-based design using fragilities in fluid-structures interaction problems. Two types of fluid-structure interaction problems are investigated in this…
(more)
▼ This dissertation focuses on a methodology for performance-based design using fragilities in fluid-structures interaction problems. Two types of fluid-structure interaction problems are investigated in this dissertation: Part I: wind-structure interaction (for wind turbine tower-base fatigue), and Part II: wave-structure interaction (for elevated coastal structures subjected to shear and uplift loading). The first problem type focuses on performance-based design of a wind turbine tower base connection subjected to wind loading using a fatigue limit
state. A finite element model for wind turbines is subjected to nonlinear wind loading in the time domain. The relative motion of the actual wind speed and velocity of the moving blades in the along-wind direction creates force nonlinearity for the applied wind load, and hence, necessitates a fluid-structure interaction model. Then, a model for fatigue assessment including crack propagation was developed for the tower base connection. The inclusion of crack propagation is expected to extend the service life of the tower compared to conventional fatigue life analysis using the characteristic S-N approach. By varying the tower thickness, diameter, and considering predefined levels of crack propagation, fragility curves based on a fatigue life limit
state are developed for the application of performance-based design. The desired fatigue life of a wind turbine tower for different wind sites can be obtained based on the fragilities. Finally, an illustrative example of performance-based design for a typical 5-MW wind turbine throughout
Colorado is used as an illustrative example in this study. The second type of problem focuses on development of a performance-based design methodology for elevated coastal structures such as bridges and buildings. Initial numerical results are compared to existing data from a large-scale bridge section test and a full-scale transverse wood wall tested previously at the O.H. Hinsdale Wave Research Laboratory at Oregon
State University. These validations provide the foundation for developing a method of wave generation for interaction with bridge and building models. By introducing fragility modeling, a variety of design options can be considered consisting of either raising the elevation of the bridge or strengthening the structure itself in order to obtain the desired probability of failure for a specified of hurricane surge and wave intensity.
Advisors/Committee Members: van de Lindt, John W. (advisor), Heyliger, Paul R. (committee member), Mahmoud, Hussam N. (committee member), Zahran, Sammy (committee member).
Subjects/Keywords: fatigue; hurricane wave and surge; wind turbine; fragility; elevated coastal structures; performance-based design
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Do, T. Q. (2016). Fragility approach for performance-based design in fluid-structure interaction problems, Part I: Wind and wind turbines, Part II: Waves and elevated coastal structures. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/176738
Chicago Manual of Style (16th Edition):
Do, Trung Quang. “Fragility approach for performance-based design in fluid-structure interaction problems, Part I: Wind and wind turbines, Part II: Waves and elevated coastal structures.” 2016. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/176738.
MLA Handbook (7th Edition):
Do, Trung Quang. “Fragility approach for performance-based design in fluid-structure interaction problems, Part I: Wind and wind turbines, Part II: Waves and elevated coastal structures.” 2016. Web. 08 Mar 2021.
Vancouver:
Do TQ. Fragility approach for performance-based design in fluid-structure interaction problems, Part I: Wind and wind turbines, Part II: Waves and elevated coastal structures. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/176738.
Council of Science Editors:
Do TQ. Fragility approach for performance-based design in fluid-structure interaction problems, Part I: Wind and wind turbines, Part II: Waves and elevated coastal structures. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176738
23.
Roberts, Michael.
Making ends meet in a social context: grandparent childcare during the 2008 recession, debt of the poor and financial innovation, and relative poverty's effect on election outcomes.
Degree: PhD, Economics, 2018, Colorado State University
URL: http://hdl.handle.net/10217/193120
► The chapters illustrate dynamics of the choices of individuals and households when facing income and time constraints in the recent United States. In the first…
(more)
▼ The chapters illustrate dynamics of the choices of individuals and households when facing income and time constraints in the recent United States. In the first chapter, grandparent childcare provision is studied from the supply side with a focus on the effect of the 2008 recession. Findings suggest differing effects for lower income respondents, and female respondents. In the second essay, I test a structural consumption model building on Brown (2007) and extending into recent periods using newly available data. Results suggest that Minskian effects are present in consumption in the U.S. Lastly, I test a new relative poverty measure against the more traditional form and study its relation to electoral outcomes from 2000-2016. Results suggest that
state-level relative poverty decreases the likelihood of Republican victories. All of these aspects investigate the relationship between the social and the economic in the modern U.S.
Advisors/Committee Members: Pena, Anita (advisor), Weiler, Stephan (committee member), Zahran, Sammy (committee member), Kroll, Stephan (committee member), Pressman, Steven (committee member).
Subjects/Keywords: elections; Minsky; childcare; relative poverty; grandparent childcare
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APA ·
Chicago ·
MLA ·
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Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Roberts, M. (2018). Making ends meet in a social context: grandparent childcare during the 2008 recession, debt of the poor and financial innovation, and relative poverty's effect on election outcomes. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193120
Chicago Manual of Style (16th Edition):
Roberts, Michael. “Making ends meet in a social context: grandparent childcare during the 2008 recession, debt of the poor and financial innovation, and relative poverty's effect on election outcomes.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/193120.
MLA Handbook (7th Edition):
Roberts, Michael. “Making ends meet in a social context: grandparent childcare during the 2008 recession, debt of the poor and financial innovation, and relative poverty's effect on election outcomes.” 2018. Web. 08 Mar 2021.
Vancouver:
Roberts M. Making ends meet in a social context: grandparent childcare during the 2008 recession, debt of the poor and financial innovation, and relative poverty's effect on election outcomes. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/193120.
Council of Science Editors:
Roberts M. Making ends meet in a social context: grandparent childcare during the 2008 recession, debt of the poor and financial innovation, and relative poverty's effect on election outcomes. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193120
24.
Pilkington, Stephanie F.
Integration of graphical, physics-based, and machine learning methods for assessment of impact and recovery of the built environment from wind hazards.
Degree: PhD, Civil and Environmental Engineering, 2019, Colorado State University
URL: http://hdl.handle.net/10217/197404
► The interaction between a natural hazard and a community has the potential to result in a natural disaster with substantial socio-economic losses. In order to…
(more)
▼ The interaction between a natural hazard and a community has the potential to result in a natural disaster with substantial socio-economic losses. In order to minimize disaster impacts, researchers have been improving building codes and exploring further concepts of community resilience. Community resilience refers to a community's ability to absorb a hazard (minimize impacts) and "bounce back" afterwards (quick recovery time). Therefore, the two main components in modeling resilience are: the initial impact and subsequent recovery time. With respect to a community's building stock, this entails the building damage
state sustained and how long it takes to repair and reoccupy that building. In modeling these concepts, probabilistic and physics-based methods have been the traditional approach. With advancements in artificial intelligence and machine learning, as well as data availability, it may be possible to model impact and recovery differently. Most current methods are highly constrained by their topic area, for example a damage
state focuses on structural loading and resistance, while social vulnerability independently focus on certain social demographics. These models currently perform independently and are then aggregated together, but with the complex connectivity available through machine learning, structural and social characteristics may be combined simultaneously in one network model. The popularity of machine learning predictive modeling across multiple different applications has risen due to the benefit of modeling complex networks and perhaps identifying critical variables that were previously unknown, or the mechanism behind how these variables interacted within the predictive problem being modeled. The research presented herein outlines a method of using artificial neural networks to model building damage and recovery times. The incorporation of graph theory to analyze the resulting models also provides insight into the "black box" of artificial intelligence and the interaction of socio-technical parameters within the concept of community resilience. The subsequent neural network models are then verified through hindcasting the 2011 Joplin tornado for individual building damage and the time it took to repair and reoccupy each building. The results of this research show viability for using these methods to model damage, but more research work may be needed to model recovery at the same level of accuracy as damage. It is therefore recommended that artificial neural networks be primarily used for problems where the variables are well known but their interactions are not as easily understood or modeled. The graphical analysis also reveals an importance of social parameters across all points in the resilience process, while the structural components remain mostly important in determining the initial impact. Final importance factors are determined for each of the variables evaluated herein. It is suggested moving forward, that modeling approaches consider integrating how a community interacts with its…
Advisors/Committee Members: Mahmoud, Hussam (advisor), Ellingwood, Bruce (committee member), van de Lindt, John (committee member), Zahran, Sammy (committee member), McAllister, Therese (committee member), Hamideh, Sara (committee member).
Subjects/Keywords: building recovery; graph theory; wind damage; community resilience; artificial neural networks; socio-technical
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Pilkington, S. F. (2019). Integration of graphical, physics-based, and machine learning methods for assessment of impact and recovery of the built environment from wind hazards. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/197404
Chicago Manual of Style (16th Edition):
Pilkington, Stephanie F. “Integration of graphical, physics-based, and machine learning methods for assessment of impact and recovery of the built environment from wind hazards.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/197404.
MLA Handbook (7th Edition):
Pilkington, Stephanie F. “Integration of graphical, physics-based, and machine learning methods for assessment of impact and recovery of the built environment from wind hazards.” 2019. Web. 08 Mar 2021.
Vancouver:
Pilkington SF. Integration of graphical, physics-based, and machine learning methods for assessment of impact and recovery of the built environment from wind hazards. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/197404.
Council of Science Editors:
Pilkington SF. Integration of graphical, physics-based, and machine learning methods for assessment of impact and recovery of the built environment from wind hazards. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197404

Colorado State University
25.
Bunten, Devin.
Entrepreneurship, information, and economic growth.
Degree: MA, Economics, 2010, Colorado State University
URL: http://hdl.handle.net/10217/45984
► This thesis analyzes the impact of entrepreneurship on economic growth across US cities within a formal production function approach. Like previous analyses of economic growth –…
(more)
▼ This thesis analyzes the impact of entrepreneurship on economic growth across US cities within a formal production function approach. Like previous analyses of economic growth – but unlike many studies of entrepreneurship – economic growth is measured in personal income per worker. The production function features three traditional inputs with a novel fourth: entrepreneurial capital. Entrepreneurship is a process of information revelation which produces a dynamic externality providing marketplace information to potential future market entrants, outside firms, lenders and others. Entrepreneurial capital measures the contribution of this information to economic growth. Multiple measurements of entrepreneurial capital are used, each emphasizing different aspects of the entrepreneurial environment. The statistical results support the views that entrepreneurship is a causal input to local economic growth, that the effects of entrepreneurship are geographically localized, and that the thicker markets of large cities.
Advisors/Committee Members: Weiler, Stephan (advisor), Phillips, Ronnie J., 1951- (committee member), Zahran, Sammy J. (committee member).
Subjects/Keywords: economic growth; entrepreneurship; Entrepreneurship; Economic development; Capital
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Bunten, D. (2010). Entrepreneurship, information, and economic growth. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/45984
Chicago Manual of Style (16th Edition):
Bunten, Devin. “Entrepreneurship, information, and economic growth.” 2010. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/45984.
MLA Handbook (7th Edition):
Bunten, Devin. “Entrepreneurship, information, and economic growth.” 2010. Web. 08 Mar 2021.
Vancouver:
Bunten D. Entrepreneurship, information, and economic growth. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/45984.
Council of Science Editors:
Bunten D. Entrepreneurship, information, and economic growth. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/45984

Colorado State University
26.
Sztukowski, John.
STIRPAT model of sectoral CO2 emissions at the county scale, A.
Degree: MA, Sociology, 2010, Colorado State University
URL: http://hdl.handle.net/10217/68390
► Background: The scientific community agrees that the principal cause of increased surface temperature globally is the accumulation of greenhouse gases (GHGs) in the atmosphere, with…
(more)
▼ Background: The scientific community agrees that the principal cause of increased surface temperature globally is the accumulation of greenhouse gases (GHGs) in the atmosphere, with carbon dioxide (CO2) emissions from fossil fuel combustion being most important among GHGs. Objectives: To analyze the spatial correspondences between CO2 emissions and anthropogenic variables of population, affluence, and technology in the United States. Methods: Ordinary least squares regression and spatial analytical techniques are used to analyze variation in CO2 emissions based on a modified version of the STIRPAT model. The unit of analysis is the county, with 3108 counties in the contiguous United States analyzed. The CO2 emissions of multiple sectors are analyzed as a function of total county population, income per capita, and climatic variation. Results: Population has a proportional relationship, the strongest association, with CO2 emissions. Affluence has a positive relationship with CO2 emissions with an attainable Environmental Kuznets Curve for the residential sector and total CO2 emissions. Climate, including average winter and summer season temperature, has a positive relationship with total CO2 emissions, although it has a negative relationship with the residential and commercial sectors of CO2 emissions. Technology acts as the residual in the model, accounting for net-positive and net-negative technology. Conclusion: Population growth, and to a smaller extent economic growth, are the driving forces of CO2 at the local level. These findings are consistent with global STIRPAT models. An increase in winter or summer temperature further exacerbates CO2 emissions. Understanding the relationships between these anthropogenic variables and environmental impacts at the local scale is a crucial step in the process of formulating mitigation strategies aimed at reducing CO2 emissions in the US.
Advisors/Committee Members: Zahran, Sammy (advisor), Peek, Lori (committee member), Betsill, Michele (committee member).
Subjects/Keywords: CO2; EKC; environment; population; regression; STIRPAT
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APA (6th Edition):
Sztukowski, J. (2010). STIRPAT model of sectoral CO2 emissions at the county scale, A. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/68390
Chicago Manual of Style (16th Edition):
Sztukowski, John. “STIRPAT model of sectoral CO2 emissions at the county scale, A.” 2010. Masters Thesis, Colorado State University. Accessed March 08, 2021.
http://hdl.handle.net/10217/68390.
MLA Handbook (7th Edition):
Sztukowski, John. “STIRPAT model of sectoral CO2 emissions at the county scale, A.” 2010. Web. 08 Mar 2021.
Vancouver:
Sztukowski J. STIRPAT model of sectoral CO2 emissions at the county scale, A. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Mar 08].
Available from: http://hdl.handle.net/10217/68390.
Council of Science Editors:
Sztukowski J. STIRPAT model of sectoral CO2 emissions at the county scale, A. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/68390
.