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70
The baseline specification is:
2.1
.
This regression is run separately for each of the 73 countries in the analysis, resulting in
73 estimates of , where indicates the size of the female-male happiness gap in a
country. Recall that if is positive and significant, then women are on average happier
than men.
In the second step of the analysis, demographic characteristics, economic factors,
and life circumstances are included as explanatory variables. If differences in these
variables account for the female-male happiness gap, then the coefficients on female
should approach zero and should not be significant. I add each set of control variables to
the regressions separately. First, demographic characteristics represented by Xi are added
to each country’s regression:
2.2 .
The demographic variables are age, age squared, marital status, and level of
education. To see whether children are important in explaining the female-male
happiness gap, the number of ideal children is included as an explanatory variable in a
separate regression. It is added separately because the number of observations is reduced
considerably when it is included in the model.
70
Object Description
| Title | Essays on health and well-being |
| Author | Zweig, Jacqueline Smith |
| Author email | smith2@usc.edu; jackiesmith04@yahoo.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Economics |
| School | College of Letters, Arts and Sciences |
| Date defended/completed | 2011-03-23 |
| Date submitted | 2011 |
| Restricted until | Restricted until 26 Apr. 2012. |
| Date published | 2012-04-26 |
| Advisor (committee chair) |
Easterlin, Richard A. Ham, John C. |
| Advisor (committee member) | Melguizo, Tatiana |
| Abstract | This dissertation is comprised of three chapters that use microeconometric techniques to investigate the factors that affect people’s well-being. In the first two chapters, well-being is defined as life satisfaction or health satisfaction. The first chapter explores how the movement from socialism to capitalism affected the life satisfaction and health satisfaction of East Germans relative to West Germans after reunification. The second chapter examines whether women are happier, less happy, or equally happy as men in countries at various stages of development. The third chapter examines whether pollution affects the academic performance of school children; their academic performance and achievements will have important implications for their future well-being. |
| Keyword | happiness; well-being |
| Geographic subject | Germany |
| Geographic subject (state) | California |
| Geographic subject (country) | USA |
| Coverage date | 1990/2010; 2002/2008 |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3782 |
| Contributing entity | University of Southern California |
| Rights | Zweig, Jacqueline Smith |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Zweig-4500 |
| Archival file | uscthesesreloadpub_Volume23/etd-Zweig-4500.pdf |
Description
| Title | Page 79 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 70 The baseline specification is: 2.1 . This regression is run separately for each of the 73 countries in the analysis, resulting in 73 estimates of , where indicates the size of the female-male happiness gap in a country. Recall that if is positive and significant, then women are on average happier than men. In the second step of the analysis, demographic characteristics, economic factors, and life circumstances are included as explanatory variables. If differences in these variables account for the female-male happiness gap, then the coefficients on female should approach zero and should not be significant. I add each set of control variables to the regressions separately. First, demographic characteristics represented by Xi are added to each country’s regression: 2.2 . The demographic variables are age, age squared, marital status, and level of education. To see whether children are important in explaining the female-male happiness gap, the number of ideal children is included as an explanatory variable in a separate regression. It is added separately because the number of observations is reduced considerably when it is included in the model. 70 |
