The long-term earnings consequences of general vs. specific training of the unemployed

Stenberg, Anders; Westerlund, Olle

doi:10.1186/s40174-015-0047-9

IZA Journal of European Labor Studies

Table 3 Probit model estimates (marginal) of the relative probability of enrolment in AEI

From: The long-term earnings consequences of general vs. specific training of the unemployed

	Males^a)	Females^a)
Age	−0.0120*
Less than 9 years	0.3945***
9 years of sch	0.4602***
2-yr upp sec	0.4289***	0.2103***
Social sci 2 years(d)	0.0943**	0.0832***
Vocation 2 years(d)	0.0848***	0.1056***
Technology 2 years(d)	−0.0450**	0.0360
Business 3 years(d)	0.1142***	0.0696***
12 years of sch	0.3564***	0.0686***
Business 3 years	−0.0535*	−0.0618**
15 years of sch	0.2542***
Regional employm	0.9272***
Stockholm(d)	0.0250
Farmin/mining(d)	−0.1497***	−0.0571
Construction(d)	−0.1811***	−0.0627
Manufacturing(d)	−0.1530***	−0.1330***
Finance/insur(d)	−0.0780***	−0.0808***
Public sector(d)	0.0669***	0.0911***
Other sector(d)	−0.0566***	−0.0498***
Foreign born(d)	−0.0202
Divorced(d)	−0.0236	−0.0281*
One child(d)	−0.0248*	0.0417***
Two children(d)	−0.0484***	0.0764***
Three children(d)	−0.0391*	0.0975***
Four children(d)	−0.0482	0.0901***
Child 0–3(d)	0.0365*
Child 7–10(d)	0.0116
Child 11–15(d)	0.0420*
Child >17(d)	−0.0439**
Parental 1993	−0.0537*
Parental 1995	−0.0635**
Parent > 0 1990(d)	0.0374
Parent > 0 1991(d)	0.0154	−0.0199
Parent > 0 1993(d)	0.0201
Parent > 0 1994(d)	0.0344**
Parent > 0 1995(d)	0.0304*
Earnings 1990	−0.0110
Earnings 1991	−0.0226*
Earnings 1992	0.0112
Earnings 1993	−0.0098
Earnings 1994	−0.0238**	0.0127
Earnings 1995	0.0830***
Zero earn 1991(d)	−0.0138
Zero earn 1993(d)	−0.0206	−0.0177
Zero earn 1994(d)	−0.0149
Unemp ben 1990	0.0776*
Unemp ben 1991	−0.0272	−0.0615*
Unemp ben 1993	−0.0465*	−0.0335*
Unemp ben > 0 1991(d)	0.0200
Unemp ben > 0 94(d)	−0.0320*
Unemp ben > 0 1995(d)	0.0268*
Days unemp 1992	0.0001
Days unemp 1993	0.0001
Days unemp 1994	0.0001***
Days unemp 1995	−0.0000
Max unemp 1992(d)	0.0361*
Max unemp 1993(d)	0.0234
Max unemp 1994(d)	0.0207
Max unemp 1995(d)	0.0298*
No unemp 1992(d)	0.0155
No unemp 1993(d)	0.0347
No unemp 1995(d)	0.0489*
Sick leave 1990	−0.0398
Sick leave 1992	−0.0596**
Sick leave 1994	−0.0278	−0.0541**
Sick leave 1995	−0.0412
Sick > 0 1990(d)	0.0215
Sick > 0 1991(d)	0.0229*	0.0140
Sick > 0 1993(d)	0.0181	0.0180*
Sick > 0 1995(d)	0.0302*
Social welf 1992	0.1882*
Social welf 1993	−0.1818*	−0.1113
Social welf 1994	−0.1915*
Social welf 1995	−0.1686
Social welf > 0 1990(d)	0.0221
Social welf > 0 1995(d)	−0.0103
Observations	12,098	17,509
Pseudo R-squared	0.0863	0.1066

(d) = dummy variable
a) Earnings and transfers expressed in SEK 100,000 (2010 values). For reasons of space, coefficients not displayed include age-dummies (males) and 13 additional regional dummies. Estimates are also based on interaction variables which for males only include (Social welf. > 0 1990*UI 1995). For females, the indicator variable of 9 years of schooling is interacted with “no unemployment 1995”; five interaction variables involve “no upper secondary school” (age at immigration, sick leave 1992, social welfare 1990 and 1995 and earnings 1995); two interaction variables involve two year upper secondary school (no unemployment 1995, and age at immigration); Stockholm is interacted with sick leave benefits 1991; and finally earnings 1995 squared is also included
*p < 0.05, **p < 0.01, ***p < 0.001

Back to article page