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

Table 3 Cross country logit regressions - marginal effects

	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

Notes: Regressions include country and survey wave dummies.
*** [**] (*) denote significance at 1, [5], (10) % level.
Omitted categories are: education (none), limited activities (severely limited), type of settlement (big city), occupation (Managers).