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Correlational findings

Study Galatzer-Levy et al. (2010): study DE 1984

Public
21-60 aged unemployed, before and after jobloss, Germany, 1984-2003
Survey name
DE-SOEP combined waves
Sample
Respondents
N = 774
Non Response
30-40%
Assessment
Interview: face-to-face
Annual interviews at 8 waves of data ( 3 waves pre-event, 1 wave year of event, 4 waves post-event). Subjects were organized around a 'floating baseline' method where subjects' data was centered on the year of unemployment.

Correlate

Authors's Label
Jobloss
Our Classification
Related specification variables
Operationalization
Happiness assessed 3 years before job-loss and 4 years after

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-11-d b = +/- CHANGE inhappiness by CHANGE in employment
Latent Growth Mixture modeling (LGMM) reveals 4 types O-SLW-c-sq-n-11-d b = -/0 Type 1: Higly stable (69%)
- slight decline before jobloss
- stable after after O-SLW-c-sq-n-11-d b = +/0 Type 2: Improving (15%)
- slight increase before jobloss
- stable after O-SLW-c-sq-n-11-d b = 0/0 Type 3: Low stable (13%)
- equally unhappy before and after jobloss O-SLW-c-sq-n-11-d b = Type 4: Distressed (4%)
- steep decline before jobloss
- partial recovery after

b's controlled for:
- age
- education

Pattern unaffected by:
- national and regional unemployment rates
- level of education
- gender.

Pattern affected by age: stronger effect of joblos on happiness among younger people