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91
Figure 2.9 Coefficients on Female: No Controls vs. Controls for Demographic
Characteristic, Life Circumstances, and Economic Factors
The regressions with controls include the following explanatory variables: age, age squared, marital status,
health problems, employment status, education, residential location, attendance at a religious ceremony,
income, occupation, 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 = 0.7 N=66.
[9.54] [15.05]
From these figures it is clear that objective factors increase the size of the male-female
happiness gap. This means that women with the same demographic
characteristics, life circumstances, and economic circumstances are at least as happy as
their male counterparts.
ARG
AUS
AUT
BEL
BFA
BGD
BGR
BLR
BOL
CAN
CHE
CHL
CMR
COL
CRI
DEU
DOM
ECU
ESP
EST
FIN
FRA
GBR
GRC
GTM
HND
IDN
IND
IRL
IRN
ITA
JPN
KAZ
KEN
KGZ
KHM
LTU
LVA
MEX
MNG
MYS
NIC
NLD
NOR
NPL
PER
PHL
POL
PRT
ROM
RUS
SLV SEN
SVK
SVN
SWE
TJK THA
TUR
TZA
UGA
URY
USA VEN
VNM
-.4 -.2 0 .2 .4 .6
Controls for Demographic, Economic,
and Life Circumstances
-.4 -.2 0 .2 .4
No Controls
Coefficient on Female Predicted Values
45-degree Line
91
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 100 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 91 Figure 2.9 Coefficients on Female: No Controls vs. Controls for Demographic Characteristic, Life Circumstances, and Economic Factors The regressions with controls include the following explanatory variables: age, age squared, marital status, health problems, employment status, education, residential location, attendance at a religious ceremony, income, occupation, 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 = 0.7 N=66. [9.54] [15.05] From these figures it is clear that objective factors increase the size of the male-female happiness gap. This means that women with the same demographic characteristics, life circumstances, and economic circumstances are at least as happy as their male counterparts. ARG AUS AUT BEL BFA BGD BGR BLR BOL CAN CHE CHL CMR COL CRI DEU DOM ECU ESP EST FIN FRA GBR GRC GTM HND IDN IND IRL IRN ITA JPN KAZ KEN KGZ KHM LTU LVA MEX MNG MYS NIC NLD NOR NPL PER PHL POL PRT ROM RUS SLV SEN SVK SVN SWE TJK THA TUR TZA UGA URY USA VEN VNM -.4 -.2 0 .2 .4 .6 Controls for Demographic, Economic, and Life Circumstances -.4 -.2 0 .2 .4 No Controls Coefficient on Female Predicted Values 45-degree Line 91 |
