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Correlational findings

Study Dittmann & Goebel (2010): study DE 2000

Public:
17+ aged general public, Germany, followed 7 years, 2000-2006
Survey name:
DE-SOEP
Sample:
Respondents:
N = 27249
Non Response:
Assessment:
Multiple asesment methods
Face-to-face interviews and statistical data on neighbourhoods

Correlate

Authors's label
Status difference
Our Classification
Remarks
2006-data of the Micromarketing-Systeme and Consult GmbH (microm) are used to determine neighbourhood status.
Operationalization
The difference between equalized household income from the previous year, recoded to cover nine quantiles, and the neighbourhood status, which also describes nine quantiles and is based on neighbourhood characteristics as:
- level of occupation
- rate of self-employment
- purchasing power
- registered car

Rescaled to:
- Positive
- No difference
- Negative

Observed Relation with Happiness

Happiness Measure Statistics Special Research Type Elaboration / Remarks O-SLW-c-sq-n-11-d b = +.02 p < .01 Longitudinal POSITIVE STATUS DIFFERENCE (vs no status difference)
In West-Germany
O-SLW-c-sq-n-11-d b = +.02 p < .05 Longitudinal In East-Germany O-SLW-c-sq-n-11-d b = -.03 p < .01 Longitudinal NEGATIVE STATUS DIFFERENCE (vs no status difference)
In West-Germany
O-SLW-c-sq-n-11-d b = -.03 p < .05 Longitudinal In East-Germany

B's controlled for:
- neighbourhood characteristics
  a)status of neighbourhood
  b)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.