Date of Graduation
Spring 5-17-2018
Document Type
Thesis
Degree Name
Master of Science in International and Development Economics (MSIDEC)
College/School
College of Arts and Sciences
Department/Program
Economics
First Advisor
Peter Lorentzen
Abstract
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.
Recommended Citation
Boadu, Kofi, "Don’t worry be Happy: Analysis of Happiness as an Economic measurement" (2018). Master's Theses. 1117.
https://repository.usfca.edu/thes/1117
Included in
Behavioral Economics Commons, Income Distribution Commons, Theory and Philosophy Commons