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Correlational findings

Study Gash et al. (2010): study DE 1996

Public
Married women aged 20-59, Germany, followed 10 years, 1996-2006,
Sample
Respondents
N = 21189
Non Response
Assessment
Questionnaire: Paper & Pencil Interview (PAPI)

Correlate

Authors's Label
Change in employment status
Our Classification
Remarks
T1 = 1996, T2 = 2006.Excluded are women that leave the labor market.
Distribution
a: FT-FT  38,40 %   =  8137
b  FT-PT   2,72 %   =   576
c  PT-PT 22,89 %  = 4850
d  PT-FT   2,88 %   =   610
Operationalization
Change in employment status between T1 and T2
a Full-time to part-time (vs continuous full-time)
b part-time to full-time (vs continuous part-time)
c inactive to full-time( vs continuously inactive)
d inactive to part-time (vs continuously inactive)

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-11-d = T1-T2 CHANGE in happiness by T1-T2 CHANGE in employment O-SLW-c-sq-n-11-d Beta = +.11 p < .05 T1 Full-time to T2 part-time

Negatively affected by job switch (Beta = -.02, ns)
O-SLW-c-sq-n-11-d Beta = 0 ns T1 Part-time to T2 full-time O-SLW-c-sq-n-11-d Beta = +.18 p < .05 T1 Inactive to T2 part-time O-SLW-c-sq-n-11-d Beta = +.25 p < .05 T1 Inactive to T2 full-time

CHANGE happiness measured controling correlation with T2 happiness for T1 happiness

Beta's controlled for:
- age
- education
- income
- number of children at T1
- change in number of children
- health
- marriage
- change in occupational status
- Change in firm size (FT only)

Happiness 0-10 was recoded to 1-7

All effects smaller, the higher T1 happiness

All effects greater when accompanied by:
- change in household income
- change in health
- additional children

All effects similar across
- age
- education
- being married or not
- number of children