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73
who have missing income data are the least happy, then the results would be biased
upward. The percent of women and men in each country who are missing the economic
variables, as well as the differences in these percentages, are presented in Appendix 2.C.
The percent of the observations that are dropped in each country is similar across men
and women. There are only three countries for which the difference in the percent
missing for men and women is greater than 9 percent: Nepal, Norway, and the
Netherlands. On average, there is less than a 1% difference in the number of observations
missing for men and women. Unlike in the other regions, more male observations are
dropped than female observations in Asia and the transition counties.
As mentioned above, the coefficients on female could be overestimated in the
regressions if (1) women are less likely to respond to the income question than men and
(2) it is the women with lower life satisfaction who are less likely to respond. This is
tested more formally using an OLS regression where the dependent variable is equal to
one if the respondent did not answer the income question and zero otherwise. The
independent variables are female, life satisfaction, and the interaction of female with life
satisfaction. The female-male differences may be overestimated if the coefficient on the
interaction term is negative and significant and the coefficient on female is positive and
significant. This only occurs in eight out of 66 countries, which are shown in Appendix
2.D. The eight countries are Norway, Sweden, Australia, Columbia, Mexico, Dominican
Republic, Indonesia, and Tajikistan. In general, this suggests that the magnitudes of the
coefficients on female in the regressions that include income are not driven by this type
73
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 82 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 73 who have missing income data are the least happy, then the results would be biased upward. The percent of women and men in each country who are missing the economic variables, as well as the differences in these percentages, are presented in Appendix 2.C. The percent of the observations that are dropped in each country is similar across men and women. There are only three countries for which the difference in the percent missing for men and women is greater than 9 percent: Nepal, Norway, and the Netherlands. On average, there is less than a 1% difference in the number of observations missing for men and women. Unlike in the other regions, more male observations are dropped than female observations in Asia and the transition counties. As mentioned above, the coefficients on female could be overestimated in the regressions if (1) women are less likely to respond to the income question than men and (2) it is the women with lower life satisfaction who are less likely to respond. This is tested more formally using an OLS regression where the dependent variable is equal to one if the respondent did not answer the income question and zero otherwise. The independent variables are female, life satisfaction, and the interaction of female with life satisfaction. The female-male differences may be overestimated if the coefficient on the interaction term is negative and significant and the coefficient on female is positive and significant. This only occurs in eight out of 66 countries, which are shown in Appendix 2.D. The eight countries are Norway, Sweden, Australia, Columbia, Mexico, Dominican Republic, Indonesia, and Tajikistan. In general, this suggests that the magnitudes of the coefficients on female in the regressions that include income are not driven by this type 73 |
