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93
are happier or equally happy. The largest overall increase in coefficients occurs between
the no-controls specification and the specification that includes demographic controls.
Table 2.8 Average Female-Male Differences in Explanatory Variables by Female-
Male Difference in Life Satisfaction
No significant
difference Women happier Men happier
N Mean N Mean N Mean
Life satisfaction 55 0.00 14 0.31 4 -0.24
Single (%) 55 -0.09 14 -0.10 4 -0.12
Married (%) 55 -0.01 14 0.04 4 0.04
Previously married (%) 55 0.09 14 0.06 4 0.08
Elementary education (%) 55 0.04 14 0.04 4 0.09
Secondary education (%) 55 -0.03 14 -0.03 4 -0.07
Tertiary education (%) 55 -0.01 14 -0.02 4 -0.03
Without health problems (%) 55 -0.04 14 -0.01 4 -0.06
Employed (%) 55 -0.17 14 -0.26 4 -0.23
Live in a large city (%) 55 0.00 14 0.02 4 -0.04
Attend a religious ceremony (%) 55 0.07 14 0.02 4 0.16
Income (*10^-13) 49 -3.49 14 -1.40 4 -4.23
White collar (%) 53 0.00 14 -0.03 4 -0.05
Business owner (%) 53 0.01 14 -0.04 4 -0.03
Service worker (%) 53 0.02 14 0.00 4 0.00
Non-farm manual worker (%) 53 -0.15 14 -0.11 4 -0.12
Farmer (%) 53 -0.04 14 -0.08 4 -0.02
Other (%) 53 -0.01 14 -0.01 4 -0.01
The categories no significant difference, women happier, and men happier are based on statistical
significance.
In Table 2.8, the mean differences for the explanatory variables are presented by whether
the difference in the no-controls case is statistically significant. In the countries where
men are happier, the differences in education, percent married, and income are greater
93
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 102 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 93 are happier or equally happy. The largest overall increase in coefficients occurs between the no-controls specification and the specification that includes demographic controls. Table 2.8 Average Female-Male Differences in Explanatory Variables by Female- Male Difference in Life Satisfaction No significant difference Women happier Men happier N Mean N Mean N Mean Life satisfaction 55 0.00 14 0.31 4 -0.24 Single (%) 55 -0.09 14 -0.10 4 -0.12 Married (%) 55 -0.01 14 0.04 4 0.04 Previously married (%) 55 0.09 14 0.06 4 0.08 Elementary education (%) 55 0.04 14 0.04 4 0.09 Secondary education (%) 55 -0.03 14 -0.03 4 -0.07 Tertiary education (%) 55 -0.01 14 -0.02 4 -0.03 Without health problems (%) 55 -0.04 14 -0.01 4 -0.06 Employed (%) 55 -0.17 14 -0.26 4 -0.23 Live in a large city (%) 55 0.00 14 0.02 4 -0.04 Attend a religious ceremony (%) 55 0.07 14 0.02 4 0.16 Income (*10^-13) 49 -3.49 14 -1.40 4 -4.23 White collar (%) 53 0.00 14 -0.03 4 -0.05 Business owner (%) 53 0.01 14 -0.04 4 -0.03 Service worker (%) 53 0.02 14 0.00 4 0.00 Non-farm manual worker (%) 53 -0.15 14 -0.11 4 -0.12 Farmer (%) 53 -0.04 14 -0.08 4 -0.02 Other (%) 53 -0.01 14 -0.01 4 -0.01 The categories no significant difference, women happier, and men happier are based on statistical significance. In Table 2.8, the mean differences for the explanatory variables are presented by whether the difference in the no-controls case is statistically significant. In the countries where men are happier, the differences in education, percent married, and income are greater 93 |
