Eastern partnership migrants in Germany: outcomes, potentials and challenges

Table 5 Probability of holding a degree in the fields of study by gender and nationality

	Natives	EU15	EU8	EU2	Others
	Math, IT, Science and Technology (MINT) Degrees
EaP	0.085***	0.061**	0.077***	−0.002	0.057**
	(0.025)	(0.025)	(0.026)	(0.037)	(0.025)
Female	−0.022***	−0.031***	−0.017*	−0.043	−0.021***
	(0.001)	(0.005)	(0.009)	(0.029)	(0.003)
Female × EaP	−0.064**	−0.061**	−0.079***	−0.041	−0.071***
	(0.017)	(0.021)	(0.022)	(0.041)	(0.017)
	Engineering Degrees
EaP	−0.113***	0.001	−0.205***	−0.08	0.014
	(0.032)	(0.033)	(0.037)	(0.053)	(0.041)
Female	−0.408***	−0.243***	−0.419***	−0.211***	−0.196***
	(0.002)	(0.009)	(0.019)	(0.044)	(0.006)
Female x EaP	0.195***	0.035	0.21***	0.005	−0.029
	(0.037)	(0.038)	(0.042)	(0.058)	(0.049)
	Legal, Management, Business Degrees
EaP	−0.056***	−0.033	0.026	0.032	−0.027
	(0.019)	(0.020)	(0.021)	(0.031)	(0.020)
Female	0.096***	0.044***	0.1***	0.083***	0.039***
	(0.002)	(0.009)	(0.013)	(0.029)	(0.005)
Female × EaP	−0.04	0.011	−0.044	−0.031	0.021
	(0.029)	(0.030)	(0.032)	(0.041)	(0.030)
	Health-related Degrees
EaP	0.007	−0.001	0.019	−0.009	0.000
	(0.014)	(0.015)	(0.016)	(0.025)	(0.014)
Female	0.125***	0.066***	0.094***	0.062**	0.062***
	(0.001)	(0.007)	(0.012)	(0.026)	(0.005)
Female × EaP	−0.041	0.018	−0.007	0.025	0.022
	(0.026)	(0.027)	(0.029)	(0.037)	(0.026)

Source: Own calculations based on the German Microcensus 2009.
Notes: The table reports estimates from linear probability models. Differences in the probability of holding a degree in specific fields of studies for EaP migrants compared to that of natives, EU migrants and other immigrants. *** p-value < 0.01; ** p-value < 0.05; * p-value < 0.1. The regression analysis is carried conditioning on the following variables: Age: dummy variables for age categories in five-year intervals; Education: dummy variables for secondary and tertiary education; Married: dummy variable for being married; State: dummy variables for state of residence; N. Children: Number of children in the family; Female: dummy variable for being a female; and Years Since Migration: years since entrance into the country. In the Log-Earnings regressions, hours worked in reference week were also added. Variable definitions are shown in the footnote of Table 2.