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Educational scores: How does Russia fare?

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  • Amini, Chiara
  • Commander, Simon
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    Abstract

    This paper uses large multi-country datasets on educational scores – namely PISA and TIMSS – to examine the factors associated with educational outcomes. In particular, it distinguishes between individual and family background factors and those emanating from the school or institutional environment. Using pooled data as well as cross sectional evidence we look at the variation across countries before looking at within country variation in Russia. We find that both in the benchmark cross-country estimates, as also those using just Russia data, a number of individual and family variables are robustly associated with better educational outcomes. Institutional variables also matter – notably student–teacher ratios and indicators of school autonomy – but there are also some clear particularities in the Russian case.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Comparative Economics.

    Volume (Year): 40 (2012)
    Issue (Month): 3 ()
    Pages: 508-527

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    Handle: RePEc:eee:jcecon:v:40:y:2012:i:3:p:508-527

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    Web page: http://www.elsevier.com/locate/inca/622864

    Related research

    Keywords: Education; Russia; PISA; TIMSS;

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    1. Dan D. Goldhaber & Dominic J. Brewer, 1997. "Why Don't Schools and Teachers Seem to Matter? Assessing the Impact of Unobservables on Educational Productivity," Journal of Human Resources, University of Wisconsin Press, University of Wisconsin Press, vol. 32(3), pages 505-523.
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    7. Gyimah-Brempong, Kwabena & Gyapong, Anthony O., 1991. "Characteristics of education production functions: An application of canonical regression analysis," Economics of Education Review, Elsevier, Elsevier, vol. 10(1), pages 7-17, March.
    8. Robert Mislevy, 1991. "Randomization-based inference about latent variables from complex samples," Psychometrika, Springer, Springer, vol. 56(2), pages 177-196, June.
    9. Abhijit Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2005. "Remedying Education: Evidence from Two Randomized Experiments in India," NBER Working Papers 11904, National Bureau of Economic Research, Inc.
    10. Andreas Ammermueller, 2007. "PISA: What makes the difference?," Empirical Economics, Springer, Springer, vol. 33(2), pages 263-287, September.
    11. Cooper, Samuel T. & Cohn, Elchanan, 1997. "Estimation of a frontier production function for the South Carolina educational process," Economics of Education Review, Elsevier, Elsevier, vol. 16(3), pages 313-327, June.
    12. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, Royal Economic Society, vol. 113(485), pages F3-F33, February.
    13. Shahrukh Rafi Khan & David Kiefer, 2007. "Educational Production Functions for Rural Pakistan: A Comparative Institutional Analysis," Education Economics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 15(3), pages 327-342.
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    Cited by:
    1. repec:ese:iserwp:2013-28 is not listed on IDEAS
    2. Cheti Nicoletti & Birgitta Rabe, 2013. "School inputs and skills: Complementarity and self-productivity," Discussion Papers, Department of Economics, University of York 13/30, Department of Economics, University of York.

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