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41
1.6 RESULTS
1.6.1 HEALTH SATISFACTION
There is a statistically significant downward trend for young East Germans
compared to young West Germans, while there is no significant difference for the older
age groups. The coefficient on the East German trend in the regressions for the younger
age group approaches zero and insignificance when self-reported health is included. The
variables that determine health satisfaction differ between the older and younger age
group. Household income appears to be a determinant of health satisfaction for the
younger age group, but not for the older group. The negative and significant coefficients
on concerns about personal finances show that the stress of the transition contributed to
the decline in health satisfaction. The coefficients on concerns about finances are larger
for the older age group than for the younger group. Since concerns in the East were
declining relative to the West more rapidly for the older group, this could help explain
why their health satisfaction did not decline as much.
The baseline regression (i.e., first difference without instrumental variables)
results presented in Table 1.7 columns (1) and (5) include self-reported health, a time
trend, and an indicator for East Germany interacted with the time trend.9 These baseline
regressions show that there is no difference between East and West Germany for the
younger age group when self-reported health is included in the model. For the older age
group, there is a slight positive relative trend. I add in demographic and economic
characteristics in columns (2) and (6) and all explanatory variables in columns (3) and
(7). The coefficient on self-reported health remains stable and is similar across age
9 The coefficient on the time trend is identified because the base difference is the difference between 1994
and 1992, while the subsequent differences are one year differences.
41
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 50 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 41 1.6 RESULTS 1.6.1 HEALTH SATISFACTION There is a statistically significant downward trend for young East Germans compared to young West Germans, while there is no significant difference for the older age groups. The coefficient on the East German trend in the regressions for the younger age group approaches zero and insignificance when self-reported health is included. The variables that determine health satisfaction differ between the older and younger age group. Household income appears to be a determinant of health satisfaction for the younger age group, but not for the older group. The negative and significant coefficients on concerns about personal finances show that the stress of the transition contributed to the decline in health satisfaction. The coefficients on concerns about finances are larger for the older age group than for the younger group. Since concerns in the East were declining relative to the West more rapidly for the older group, this could help explain why their health satisfaction did not decline as much. The baseline regression (i.e., first difference without instrumental variables) results presented in Table 1.7 columns (1) and (5) include self-reported health, a time trend, and an indicator for East Germany interacted with the time trend.9 These baseline regressions show that there is no difference between East and West Germany for the younger age group when self-reported health is included in the model. For the older age group, there is a slight positive relative trend. I add in demographic and economic characteristics in columns (2) and (6) and all explanatory variables in columns (3) and (7). The coefficient on self-reported health remains stable and is similar across age 9 The coefficient on the time trend is identified because the base difference is the difference between 1994 and 1992, while the subsequent differences are one year differences. 41 |
