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  • Author: Olegs Krasnopjorovs x
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Kārlis Vilerts and Oļegs Krasnopjorovs

Abstract

We used anonymized micro data from Labour Force Survey to estimate the ethnic wage gap in Latvia and find the factors that explain it. We found that a notable ethnic wage gap still exists in Latvia with non-Latvians earning 10 % less than Latvians in 2015. The results of Oaxaca-Ransom decomposition show that approximately two thirds of the ethnic wage gap are explained by differences in characteristics with the most important effects in favour of Latvians caused by segregation in better paying occupational groups, having Latvian citizenship and better education (higher education levels and more favourable segregation by education fields). This was partly offset by favourable segregation in sectors for non-Latvians. Quantile regressions show that ethnic wage gap is statistically significant in all deciles of wage distribution.

Open access

Karlis Vilerts, Olegs Krasnopjorovs and Edgars Brekis

Abstract

We employ EU-SILC micro data for Latvia to study how returns to education changed during the economic crisis of 2008–2009 and afterwards. We found that returns to education increased significantly during the crisis and decreased slightly during the subsequent economic recovery. The counter-cyclical effect was evident in nearly all population groups. After the crisis, education became more associated than before with a longer working week and a higher employment probability. Furthermore, we show that returns to education in Latvia are generally higher in the capital city and its suburbs than outside the capital city region, as well as for citizens of Latvia than for resident non-citizens and citizens of other countries, but lower for males and young people. Wage differential models reveal a relatively large wage premium for higher education and a rather small one for secondary education. Estimates obtained with instrumental variable (IV) models significantly exceed the OLS estimates.