Page 98 |
Save page Remove page | Previous | 98 of 171 | Next |
|
small (250x250 max)
medium (500x500 max)
Large (1000x1000 max)
Extra Large
large ( > 500x500)
Full Resolution
All (PDF)
|
This page
All
|
89
Figure 2.8 Coefficients on Female: No Controls vs. Controls for Demographic
Characteristics and Life Circumstances
The regressions with controls include the following explanatory variables: age, age squared, marital status,
health problems, employment status, education, attendance at a religious ceremony, residential location,
and wave effects. South Korea is beyond the range of the graph. The OLS regression is
(SatLifef-SatLifem)controls= 0.11 + 0.85(SatLifef-SatLifem)nocontrols. R2 = 0.81 N=73.
[12.48] [17.46]
The next set of regressions includes life circumstances as explanatory variables –
residential location, employment status, attendance at a religious ceremony, and health
problems. In Figure 2.8, the coefficients from the no-controls case are plotted against the
coefficients after controlling for demographic characteristics and life circumstances.
Again, the coefficients are nearly all above the 45-degree line and are greater than zero.
This indicates that between men and women of the same demographic characteristics and
life circumstances, women are happier. In fact, controlling for these life circumstances
ARG
AUS
AUT
BEL
BFA
BGD
BBGORL BLR
BRA
CHECAN
CHL
CMR
COL
CCZREI
DEU DNK
DOM
ECU
ESP
EST
FIN
GBR FRA
GRC
GTM
HND
HUN
IDN
IND
IRL
IRN
ITA
JPN
KAZ
KEN
KGZKHM
LTU
LVA
MEX
MLI
MNG
MOZ
MYS
NIC
NLD
NOR
NPL
PAN
PER
PHPLOL
PRT
ROM
RUS
SLVSEN
SVK
SVN
SWE
THA
TJK
TUR
TZA
UGA
URY
USA
VEN
VNM
-.4 -.2 0 .2 .4 .6
Controls for Demographic Charactersitics
and Life Circumstances
-.4 -.2 0 .2 .4 .6
No Controls
Coefficient on Female Predicted Values
45-degree Line
89
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 98 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 89 Figure 2.8 Coefficients on Female: No Controls vs. Controls for Demographic Characteristics and Life Circumstances The regressions with controls include the following explanatory variables: age, age squared, marital status, health problems, employment status, education, attendance at a religious ceremony, residential location, and wave effects. South Korea is beyond the range of the graph. The OLS regression is (SatLifef-SatLifem)controls= 0.11 + 0.85(SatLifef-SatLifem)nocontrols. R2 = 0.81 N=73. [12.48] [17.46] The next set of regressions includes life circumstances as explanatory variables – residential location, employment status, attendance at a religious ceremony, and health problems. In Figure 2.8, the coefficients from the no-controls case are plotted against the coefficients after controlling for demographic characteristics and life circumstances. Again, the coefficients are nearly all above the 45-degree line and are greater than zero. This indicates that between men and women of the same demographic characteristics and life circumstances, women are happier. In fact, controlling for these life circumstances ARG AUS AUT BEL BFA BGD BBGORL BLR BRA CHECAN CHL CMR COL CCZREI DEU DNK DOM ECU ESP EST FIN GBR FRA GRC GTM HND HUN IDN IND IRL IRN ITA JPN KAZ KEN KGZKHM LTU LVA MEX MLI MNG MOZ MYS NIC NLD NOR NPL PAN PER PHPLOL PRT ROM RUS SLVSEN SVK SVN SWE THA TJK TUR TZA UGA URY USA VEN VNM -.4 -.2 0 .2 .4 .6 Controls for Demographic Charactersitics and Life Circumstances -.4 -.2 0 .2 .4 .6 No Controls Coefficient on Female Predicted Values 45-degree Line 89 |
