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Intersectionality of ethnicity and gender: exploring Romani women’s performance in education

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  • Ewa Cukrowska-Torzewska

Abstract

This paper examines Romani women multiple disadvantage in education. Three main educational outcomes are analyzed: obtaining secondary or higher education, dropping out from the school and having an ability to read and write. The empirical analysis is based on the data coming from two unique datasets on Roma carried out by the UNDP, i.e. 2004 UNDP Regional Roma Survey and 2011 UNDP/ WB/EC regional survey on Roma communities. The results show that variables measuring family background are the key observable factors that explain ethnic gaps in education. On contrary, the gender gaps in education - both among Roma and non-Roma – cannot be explained by the differences in men’s and women’s characteristics and may be attributed to other unobservable factors such as cultural customs and values. The comparison of the existing gaps over 2004- 2011 reveals that some progress in terms of educational performance of Roma has been achieved. Similar patterns are however found for Romani women and men, leaving Romani women still in a more disadvantaged position.

Suggested Citation

  • Ewa Cukrowska-Torzewska, 2014. "Intersectionality of ethnicity and gender: exploring Romani women’s performance in education," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 36.
    • Handle: RePEc:eko:ekoeko:36_51
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    File URL: http://ekonomia.wne.uw.edu.pl/ekonomia/getFile/731
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    References listed on IDEAS

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    1. Gabor Kertesi & Gabor Kezdi, 2011. "The Roma/Non-Roma Test Score Gap in Hungary," American Economic Review, American Economic Association, vol. 101(3), pages 519-525, May.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Hugo Ñopo, 2004. "The Gender Wage Gap in Peru 1986-2000: Evidence from a Matching Comparisons Approach," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(1-2), pages 9-37, January-D.
    4. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LLC, vol. 4(2), pages 154-167, June.
    5. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    6. Orley Ashenfelter & David E. Card, 1984. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," Working Papers 554, Princeton University, Department of Economics, Industrial Relations Section..
    7. Horrace, William C. & Oaxaca, Ronald L., 2006. "Results on the bias and inconsistency of ordinary least squares for the linear probability model," Economics Letters, Elsevier, vol. 90(3), pages 321-327, March.
    8. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    9. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
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