Gender Wage Differences in the Czech Public Sector: A Micro-level Case

Issue: 2/2016

Veronika Hedija

Department of Economic Studies, College of Polytechnics Jihlava, Tolstého 16, 586 01 Jihlava, Czech Republic, vhedija@seznam.cz
Vysoké učení technické v Brně, Fakulta podnikatelská, Kolejní 2906/4, 612 00 Brno, hedija@fbm.vutbr.cz.

The aim of this study is to estimate the unexplained gender pay gap in individual departments of a Czech hospital, to find out whether this gap varies between departments and, if so, to identify the possible causes of these differences. To estimate the unexplained part of the gender pay gap, we use the average treatment effect on the treated (ATT), and to identify the causes behind differences in the unexplained gender pay gap we use a linear regression model. We find that the ATT varies significantly between departments. To explain these differences, we use selected characteristics of the departments: the department's size, the proportion of women in the department, and the gender of the departmental head. We come to the conclusion that women's wages increase relative to male wages as the proportion of female employees grows. On the other hand, the unexplained gender wage gap is not proven to be lower in smaller or female-led departments.

Pages: 
121-134
DOI: 10.1515/revecp-2016-0009
JEL: J71, J24, J16, I14
Keywords: wage differences, Public sector, Healthcare, gender pay gap, gender
References: 

Arulampalam, W., Booth, A. & Bryan, M. (2007) Is there a glass ceiling over Europe? Exploring the gender pay gap across the wage distribution. Industrial & Labor Relations Review. 62(2). p. 163–186. DOI: 10.1177/001979390706000201

Cardoso, A. R. & Winter-Ebmer, R. (2010) Female-Led Firms and Gender Wage Policies. Industrial and Labour Relations Review. 64(1). p. 143-163.

Christofides, L. N., Polycarpou, A. & Vrachimis, K. (2013)Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe. Labour Economics. 21(April 2013). p. 86–102.

Cohen, P. & Huffman, M. (2007) Working for the Woman? Female Managers and the Gender Wage Gap.  American Sociological Review. 72(5). p. 681-704. DOI: 10.1177/000312240707200502

Czech Statistical Office (2014) [online] Zaostřeno na ženy a muže 2013. [cit.20.9.2014]. Available on: http://www.czso.cz/csu/2013edicniplan.nsf/publ/1413-13-r_2013

HEDIJA, V. & MUSIL, P.  (2012) Gender wage differences in the selected Czech public sector company. Acta Universitatis Agricultura et Silviculturae Mendelianae Brunensis. 60(7). p. 81-88.

Hedija, V. & Musil, P. (2011) Gender pay gap – application in the specific enterprise. Národohospodářský obzor/Review of Economic Perspectives. 11(4). p. 223-236.

HEDIJA, V. (2014) Gender Pay Gap in Different Sectors of Czech Economy. In 32nd International Conference MME 2014. Olomouc: Palacky University. p. 275-280.

HEDIJA, V. (2015) The Effect of Female Managers on Gender Wage Differences. Prague Economic Papers. 24(1). p. 38-59.

Hultin, M. & Szulkin, R. (1999) Wages and Unequal Access to Organizational Power: An Empirical Test of Gender Discrimination. Administrative Science Quarterly. 44(3). p. 453-472. DOI: 10.2307/2666958

Hultin, M. & Szulkin, R. (2003) Mechanisms of Inequality Unequal Access to Organizational Power and the Gender Wage Gap. European Sociological Review. 19(2). p. 143-159. DOI: 10.1093/esr/19.2.143

Jurajda, S.  (2003)  Gender Wage Gap and Segregation in Enterprises and the Public Sector in Late Transition Countries. Journal of Comparative Economics. 31 (2). p. 199-222. DOI: 10.1016/S0147-5967(03)00040-4

Mysíková, M.  (2012) Gender Wage Gap in the Czech Republic and Central European Countries. Prague Economic Papers. 2012/3(3). p. 328-346.

Tajfel, H. & Turner, J. C. (1979) An Integrative Theory of Intergroup Conflict. In The Social Psychology of Intergroup Relations. Monterey, CA: Brooks-Cole. p. 33-47.

Tajfel, H. (1982) Social Psychology of Intergroup Relations. Annual Review of Psychology. 33(1). p. 1–39. DOI: 10.1146/annurev.ps.33.020182.000245

Wooldridge, J. (2002) Econometric Analysis of Cross Section and Panel Data. Cambridge: MIT Press.