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76
Table 2.2 Distribution of Female-Male Differences in Life Satisfaction by
Geographic Region
No significant
difference
Women
happier
Men
happier Total
Developed countries 16 2 2 20
Transition countries 12 0 0 12
Asia 10 6 0 16
Latin America 12 3 2 17
Africa 5 3 0 8
Total 55 14 4 73
The categories no significant difference, women happier, and men happier are based on whether
the coefficient on the dummy variable for female is signifcantly different from zero in a two-tailed
t-test.
the transition countries, while Asia and Africa have the greatest overall positive
differences. In the countries where women are significantly happier, the happiness gap is
similar across regions. Without controlling for any individual factors, women are at least
as happy as men in nearly all countries and there is not a systematic pattern by region.
The coefficients and number of observations for each specification are presented in
Appendix 2.E and 2.F, respectively.
Is the female-male happiness gap larger at more advanced stages of development?
One might expect that well-being in less developed countries would favor men because
women do not have the same opportunities and status as men. In Figure 2.2, the female-male
happiness gap from the regression with no controls (β from equation 2.1) is plotted
against log GDP per capita of the country obtained from the World Bank (2010). Recall
that a positive difference indicates that women are happier and a negative difference
76
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 85 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 76 Table 2.2 Distribution of Female-Male Differences in Life Satisfaction by Geographic Region No significant difference Women happier Men happier Total Developed countries 16 2 2 20 Transition countries 12 0 0 12 Asia 10 6 0 16 Latin America 12 3 2 17 Africa 5 3 0 8 Total 55 14 4 73 The categories no significant difference, women happier, and men happier are based on whether the coefficient on the dummy variable for female is signifcantly different from zero in a two-tailed t-test. the transition countries, while Asia and Africa have the greatest overall positive differences. In the countries where women are significantly happier, the happiness gap is similar across regions. Without controlling for any individual factors, women are at least as happy as men in nearly all countries and there is not a systematic pattern by region. The coefficients and number of observations for each specification are presented in Appendix 2.E and 2.F, respectively. Is the female-male happiness gap larger at more advanced stages of development? One might expect that well-being in less developed countries would favor men because women do not have the same opportunities and status as men. In Figure 2.2, the female-male happiness gap from the regression with no controls (β from equation 2.1) is plotted against log GDP per capita of the country obtained from the World Bank (2010). Recall that a positive difference indicates that women are happier and a negative difference 76 |
