Gender differences in earnings and labor supply in early career: evidence from Kosovo’s school-to-work transition survey

Table 6 Fairlie ( 2005 ) decomposition of factors affecting the gender gap in female labor supply

Sample used for coefficients	Women/men pooled
	(1)
Number if observations	1336
Women	679
Men	657
Probability of labor supply of men	0.3255
Probability of labor supply of women	0.2709
Difference between men and women	0.0546
Explained component of the gap	0.0546
Variables:
Age	.0047^***
s.e.	(.0017)
% contribution to the gender gap	8.6%
Education	.0004
s.e.	(.770)
% contribution to the gender gap	0.8%
Ethnic composition	.0033^***
s.e.	(.0013)
% contribution to the gender gap	6.0%
Demographic factors	.0461^**
s.e.	(.0232)
% contribution to the gender gap	84.4%

Note: The educational variables include vocational education and high secondary education or above. The ethnic variables include dummies for Serbians, Roma, Turkish, Bosniac. The demographic variables include the number of children and civil status (engaged to be married, married, separated, divorced or widow).
Source: own elaboration on the ILO School-to-work transition survey of Kosovo.