Skip to main content

Table 3 Cross country logit regressions - marginal effects

From: Are public sector workers different? Cross-European evidence from elderly workers and retirees

  Workers Retirees
  (1) (2) (3) (4)
Public 0.033** 0.002 0.063*** 0.013
Male   0.032**   -0.004
Couple   -0.001   -0.001
Age   0.000   -0.002**
Education     
Primary education   -0.003   -0.003
Lower secondary   0.023   0.050*
Upper secondary   0.017   0.037
Post-secondary non-tertiary   0.134*   0.111***
First stage of tertiary   0.070   0.083***
Second stage of tertiary education   0.064   0.065
Still in school   0   -0.104***
Other   -0.013   0.096*
Limited Activities     
Limited, but not severely   -0.014   0.037***
Not limited   0.003   0.047***
Location     
The suburbs   0.013   -0.029
A large town   0.048*   -0.013
A small town   0.050**   0.002
Rural area or village   0.069***   -0.001
Missing   0.019   -0.026
Income   0.000   0.000
Occupation     
Professional   0.022   0.003
Technician or associate professional   -0.001   -0.012
Clerk   -0.028   -0.029
Service worker and shop and market sale   -0.021   -0.034*
Skilled agricultural or fishery worker   -0.045   -0.123***
Craft and related trades worker   -0.059   -0.084***
Plant and machine operator or assembler   -0.079**   -0.060***
Elementary occupation   -0.040   -0.066***
Armed forces   -0.071   0.052
Hours Worked per Week   -0.001*   
Time Pressure due to Heavy Workload     
Agree   0.015   
Disagree   0.012   
Strongly disagree   -0.012   
Job Salary Adequate     
Agree   0.002   
Disagree   -0.014   
Strongly disagree   0.025   
Club   0.101***   0.11***
N 12165 12165 19486 19486
  1. Notes: Regressions include country and survey wave dummies.
  2. *** [**] (*) denote significance at 1, [5], (10) % level.
  3. Omitted categories are: education (none), limited activities (severely limited), type of settlement (big city), occupation (Managers).