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Correlational findings

Study Krause (2013): study DE 2007

Public
16+ aged, recently fallen unemployed, Germany, 2007-2008
Survey name
IZA Evaluation Dataset S
Sample
Respondents
N = 2542
Non Response
Assessment
Interview: face-to-face

Correlate

Authors's Label
Educational degree
Our Classification
Distribution
A) a: 1%, b: 28%, c: 42%, d: 6%, e: 24%
B) a: 9%, b: 59%, c: 14%, d: 18%
Operationalization
A) a) No degree (reference)
   b) Secondary school (9 years)
   c) Secondary school (10 years)
   d) Technical college entrance qualification (11-12 years)
   e) General qualification for university  entrance (12-13 years)
B) a) No vocational degree (reference)
   b) Apprenticeship
   c) Specialized vocational school
   d) University, technical college

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-11-d b = +.60 ns SECONDARY SCHOOL 9 YEARS   (vs no degree) O-SLW-c-sq-n-11-d b = +.71 ns SECONDARY SCHOOL 10 YEARS  (vs no degree) O-SLW-c-sq-n-11-d b = +.53 ns TECHNOLOGICAL COLLEGE ENTRANCE QUALIFICATION 11-12 YEARS                (vs no degree) O-SLW-c-sq-n-11-d b = +.79 ns GENERAL QUALIFICATION FOR UNIVERSITY ENTRANCE 12-13 YEARS (vs no degree) O-SLW-c-sq-n-11-d b = +.09 ns APPRENTICESHIP                (vs no vocational degree) O-SLW-c-sq-n-11-d b = -.00 ns SPECIALIZED VOCATIONAL SCHOOL (vs no vocational degree) O-SLW-c-sq-n-11-d b = -.14 ns UNIVERSITY/TECHNICAL COLLEGE (vs no vocational degree)

B controlled for:
- Individual characteristics
  a) age and age squared
  b) disabled
  c) marital status
  d) having a partner
  e) employment status spouse
  f) employment status partner
  g) (number of) children in household
  h) gender
  i) migrant status
  j) wage in last job
  k) duration of last job
  l) unemployment benefits
  m) reason of termination of last job
- Environmental characteristics:
  n) national unemployment rate
  o) region/state in Germany
- Interview-specific characteristics:
  p) interview cohort
  q) time between unemployment entry and