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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in ABSTRACTThe paper aims to explore international trade flows of the countries involved in the EU eastward enlargement processes -the current EU members (EU15) and the candidate countries (CC12). The empirical results of the study allow us to conclude that the behaviour of bilateral trade flows within the countries involved in EU eastward enlargement accords to the normal rules of gravitation, having statistically significant spatial biases caused by the trade relations, between the Baltic Sea Region (BSR) countries (the BSR bias), the border countries (the border bias) and the EU member and candidate countries (the East-West bias). The East-West trade relations are still rather weakly developed and there is a statistically significant difference in international trade patterns between the two groups -the current EU members and the applicant countries. The lessons of the Baltic Sea Region in integrating countries with different economic and political backgrounds and developing bilateral trade relations are valuable in supporting EU eastward enlargement and the reintegration of new member countries into Europe.JEL-Classification: F15, C5, R15

The study analyzes the changes in emigration from Estonia in order to shed more light on East-West migration, contributing to the main debate on "brain drain" by focusing on educational differences in emigration. We use anonymous individual level data for all emigrants from the register-based Estonian Emigration Database compiled by Statistics Estonia for the period 2000-2008. The analysis shows that there has been no significant brain drain from Estonia as the new EU member state during this period. Moreover, we find evidence of a spreading of the emigration norm into a wider range of population groups, including the less educated, since Estonia joined the European Union in 2004.

Purpose The purpose of this paper is to better understand the possible reasons behind gender pay disparities, focussing on the unique features of male and female human capital and their wage returns. Despite increasing convergence of male and female human capital attainments, substantial differences remain. Extraction of human capital components non-overlapping across genders provides more profound explanation of the unexplained wage gap of men and women. Design/methodology/approach Starting with the non-parametric matching-based decomposition technique, the authors extend the pay gap estimation framework and focus on males and females having no counterpart in a set of characteristics within the opposite gender. The authors identify gender-unique human capital in terms of differences in distribution of individual characteristics across men and women and gender-specific combination of human capital characteristics. Wage returns to gender-specific profiles are evaluated applying wage regression on both full distribution of earnings and wage quantiles. The research relies on the Survey of Adult Skills (PIAAC) database for Estonia, which incorporates both formal education and cognitive skill records. Findings The study identifies sets of characteristics and competencies exclusive for both genders, proving that male and female profiles cannot be directly compared. The results suggest that men possess high individual and combined abilities in numeracy and problem solving in technology-rich environment, not always reached by females. This potentiates men’s higher earnings in spite of their generally lower formal educational attainments. Wage gap analysis over the full distribution of earnings shows even larger “glass ceiling” effect for females, possessing woman-specific human capital. Originality/value The authors raise a research from a novel perspective towards a role of human capital in gender wage inequality. Instead of usual reference to observable gaps in male and female characteristics, the authors identify the gender-specific human capital profiles, to a large extent non-reached by the opposite gender. Analysed associations between gender-specific characteristics and earnings provide an insight to possible effects of gender-unique human capital on a male-female wage disparity.

(JEL 010, FIO, C10, 050)

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