| | LPM | PSM |
---|
Men | Coef. | 0.016 | 0.028* |
S.E. | (0.010) | (0.015) |
No. of. obs. | 11.733 | 10.905 |
Women | Coef. | 0.020** | 0.019* |
S.E. | (0.008) | (0.012) |
No. of. obs. | 6.980 | 7.084 |
Western Europe | Coef. | 0.064* | 0.136** |
S.E. | (0.038) | (0.057) |
No. of. obs. | 7.030 | 6.788 |
Non-Western Europe | Coef. | 0.012** | 0.006 |
S.E. | (0.006) | (0.004) |
No. of. obs. | 11.683 | 11.201 |
Eastern Europe | Coef. | 0.010 | 0.017 |
S.E. | (0.008) | (0.010) |
No. of. obs. | 5.109 | 5.005 |
Turkey | Coef. | 0.007 | −0.003 |
S.E. | (0.012) | (0.003) |
No. of. obs. | 5.606 | 5.074 |
Blue-collar employees | Coef. | 0.014** | 0.013** |
S.E. | (0.006) | (0.006) |
No. of. obs. | 14.552 | 14.014 |
White-collar employees | Coef. | 0.021 | 0.020 |
S.E. | (0.015) | (0.021) |
No. of. obs. | 4.161 | 3.975 |
- Note: Column one displays coefficients of the naturalisation status in the previous year obtained from linear probability models. Reported standard errors in parentheses are robust and clustered by individual. The model includes control variables for gender, age, age-squared, dummy variables for origin, years since migration (measured in 10 years), dummy variables for the position in the job, tenure, tenure-squared, dummy variables for part-time employment, firm size and blue-collar employment as well as year effects. Column two shows ATEs after PSM with naturalisation as treatment. Results have been obtained by STATA procedure psmatch2 by Leuven and Sianesi (2013) (matching algorithm: Epanechnikov kernel with bandwidth 0.06, matching on the odds ratio of the propensity score). Standard errors in parentheses are bootstrapped with 200 replications. * (**) denotes statistical significance at the 10 % (5 %) level. The samples are restricted to first-generation immigrants aged 25 to 55
- Source: SOEP v26, own calculations