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You searched for +publisher:"University of San Francisco" +contributor:("Peter Lorentzen"). One record found.

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1. Boadu, Kofi. Don’t worry be Happy: Analysis of Happiness as an Economic measurement.

Degree: MSIDEC, Economics, 2018, University of San Francisco

Everyone wants to be happy. Happiness however never seems to be a national goal. A possible answer is that happiness is subjective and on its own may not be reflective of the economic status of a country. Therefore, should people’s happiness should be treated equally with other traditional economic measurements? This cross-country level study looks at the relationship between happiness and traditional economic measurements; mainly GDP per capita. Questions concerning whether GDP per capita indeed captures the overall well-being of a citizen and happiness’ eligibility as an economic measurement are addressed. Findings confirm that happiness and GDP per capita are positively correlated. As a result, subjective happiness may not be all that different from traditional economic measures like GDP per capita. Advisors/Committee Members: Peter Lorentzen.

Subjects/Keywords: Happiness; Income; Money Happiness; Economics; Behavioral economics; Behavioral Economics; Income Distribution; Theory and Philosophy

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

APA (6th Edition):

Boadu, K. (2018). Don’t worry be Happy: Analysis of Happiness as an Economic measurement. (Thesis). University of San Francisco. Retrieved from https://repository.usfca.edu/thes/1117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Boadu, Kofi. “Don’t worry be Happy: Analysis of Happiness as an Economic measurement.” 2018. Thesis, University of San Francisco. Accessed February 21, 2019. https://repository.usfca.edu/thes/1117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Boadu, Kofi. “Don’t worry be Happy: Analysis of Happiness as an Economic measurement.” 2018. Web. 21 Feb 2019.

Vancouver:

Boadu K. Don’t worry be Happy: Analysis of Happiness as an Economic measurement. [Internet] [Thesis]. University of San Francisco; 2018. [cited 2019 Feb 21]. Available from: https://repository.usfca.edu/thes/1117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Boadu K. Don’t worry be Happy: Analysis of Happiness as an Economic measurement. [Thesis]. University of San Francisco; 2018. Available from: https://repository.usfca.edu/thes/1117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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