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95
demographic characteristics and life circumstances as controls in the regressions,
increases the size of the coefficients by 0.07 on average. These controls have a larger
effect on the transition countries, where the objective factors favor men even more than
in the other countries. Including economic circumstances causes a small increase in the
Figure 2.10 Impact of the Control Variables on the Female-Male Difference in Life
Satisfaction and Log GDP per Capita
See notes to Figures 2.2 and 2.9. The OLS regression is Coeff4-Coeff1=- 0.05 + 0.02lnGDP. R2 = 0.03
N=58. [0.44] [1.38]
FRA
JPNAUT
PRT
NOR
ESPBEL
NLD
IRL
SWE
CAN
GBR
FIN
ADUESU
CHE
USA
ITA
GRC
SVK
ROM
BGR
RUSLVAEST
BLR
LTU
POL SVN
IDN
MYS
TJK
MNG
PHL
KIRANZ
NPL
BGD
KOR
KHM VNM
TUR
KGZ
IND
THA
PER
BOL
HND
CHL
MEX
NIC
ECU
SLV
GTM VEN ARG
COL
URY
CRI
DOM
CMR
UGA
KEN
TZA
BFA SEN
-.2 0 .2 .4 .6
Difference in Coefficients
from Equation 1 and Equation 4
7 8 9 10 11
Log GDP per Capita
95
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 104 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 95 demographic characteristics and life circumstances as controls in the regressions, increases the size of the coefficients by 0.07 on average. These controls have a larger effect on the transition countries, where the objective factors favor men even more than in the other countries. Including economic circumstances causes a small increase in the Figure 2.10 Impact of the Control Variables on the Female-Male Difference in Life Satisfaction and Log GDP per Capita See notes to Figures 2.2 and 2.9. The OLS regression is Coeff4-Coeff1=- 0.05 + 0.02lnGDP. R2 = 0.03 N=58. [0.44] [1.38] FRA JPNAUT PRT NOR ESPBEL NLD IRL SWE CAN GBR FIN ADUESU CHE USA ITA GRC SVK ROM BGR RUSLVAEST BLR LTU POL SVN IDN MYS TJK MNG PHL KIRANZ NPL BGD KOR KHM VNM TUR KGZ IND THA PER BOL HND CHL MEX NIC ECU SLV GTM VEN ARG COL URY CRI DOM CMR UGA KEN TZA BFA SEN -.2 0 .2 .4 .6 Difference in Coefficients from Equation 1 and Equation 4 7 8 9 10 11 Log GDP per Capita 95 |
