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Returns to Education in Four Transition Countries: Quantile Regression Approach

Anita Staneva, Reza Arabsheibani, Philip murphy

Economics of Transition, Volume: 15, Issue: 2, Pages: 342 - 364

Swansea University Author: Reza Arabsheibani

Abstract

This paper uses quantile regression techniques to analyze heterogeneous patterns of return to education across the conditional wage distribution in four transition countries. We correct for sample selection bias using a procedure suggested by Buchinsky (2001), which is based on a Newey (1991, 2009)...

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Published in: Economics of Transition
Published: 2010
URI: https://cronfa.swan.ac.uk/Record/cronfa7084
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Abstract: This paper uses quantile regression techniques to analyze heterogeneous patterns of return to education across the conditional wage distribution in four transition countries. We correct for sample selection bias using a procedure suggested by Buchinsky (2001), which is based on a Newey (1991, 2009) power series expansion. We also examine the empirical implications of allowing for the endogeneity of schooling, using the control function approach proposed by Lee (2007). Using household data from Bulgaria, Russia, Kazakhstan and Serbia in 2003, we show that the return to education is heterogeneous across the earnings distribution. It is also found that accounting for the endogeneity of schooling leads to a higher rate of return to education.
Item Description: This paper is IZA Discussion Paper No. 5210 September 2010 and contains 36 pages.
Keywords: rate of return to education, endogeneity, sample selection, quantile regression
College: Faculty of Humanities and Social Sciences
Issue: 2
Start Page: 342
End Page: 364