Correlational findings

Study Dittmann & Goebel (2010): study DE 2000

17+ aged general public, Germany, followed 7 years, 2000-2006
Survey name
N = 27249
Non Response
Multiple assesment methods
Face-to-face interviews and statistical data on neighbourhoods


Authors's Label
Neighbourhood status
Our Classification
2006-data of the Micromarketing-Systeme and Consult GmbH (microm) are used to determine neighbourhood status.
Related specification variables
Socio-economic status of the neighbourhood is a nine-scale index based, inter alia, on the neighbourhood characteristics:
a) level of occupation
b) rate of self-employment
c) purchasing power
d) registered car

1: lowest status
2: considerably below the average
3: below the average
4: slightly below the average
5: average status (reference)
6: slightly above the average
7: above the average
8: considerably above the average
9: highest status

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-11-d b = +.03 p < .01 IN WEST-GERMANY O-SLW-c-sq-n-11-d b = +.03 p < .01 IN EAST-GERMANY

B's controlled for:
- status relative to others in neighbourhood
- rate of people moving out the neighbourhood
- nationality
- age and age squared
- income
- education
- marital status
- having children
- health
- city size
- survey year

East-Germany is the former communist German Democratic Republic, which was reunited in 1990 with West-Germany.