Returns to Education in Four Transition Countries: Quantile Regression Approach

Anita Staneva, Reza (Gholamreza) Arabsheibani () and Philip D. Murphy ()
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Philip D. Murphy: Swansea University

No 5210, IZA Discussion Papers from IZA Network @ LISER

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.

Keywords: rate of return to education; endogeneity; quantile regression; sample selection (search for similar items in EconPapers)
JEL-codes: C14 I2 J24 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2010-09
New Economics Papers: this item is included in nep-cis, nep-edu, nep-lab and nep-tra
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Published - published in: S. Mendolina, M. O'Brien, A. R. Paloya, O. Yearkhin (eds.), Critical Perspectives of Economics of Education, 2022, Chapter 9

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