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Rural-urban differences in educational outcomes: Evidence for Colombia using PISA microdata

  • Sandra Nieto

    ()

  • Raul Ramos
  • Juan Carlos Duque

Although there are hundreds of works using PISA microdata to analyse the determinants of educational outcomes, only a few of them have considered the relevance of geography. In this paper, we focus on the analysis of differences in educational outcomes between students in rural and urban schools. Previous studies on this topic started in the United States during the eighties and they have not arrived to a sound conclusion yet. Some authors do not find significant differences between rural and urban students while others find better outcomes for urban ones. It is not clear if this gap is explained by family characteristics or it is related to lower spending in rural schools. The policy debate on how public spending in education should be distributed between rural and urban areas in developing countries is very intense, although academic studies are scarce. However, during the last decades some studies have focused on some Latinamerican countries (Argentina, Peru, Brazil, Chile and Colombia), but again, there is no consensus on the factors behind the rural-urban gap in educational outcomes. Taking into account this background, we use microdata from the 2006 and 2009 PISA waves for Colombia. The Colombian case is particularly interesting from this perspective due to the structural changes suffered by this country during the last years, both in terms of political stability and educational reforms. The descriptive analysis of the data shows that the educational outcomes of urban students are higher than the rural ones in the three subjects covered by the PISA study: Mathematics, Reading and Science in both samples. In order to identify the factors behind this differential, we apply decomposition techniques that have been extensively in Labour Economics but not so much in the context of Economics of Education. In particular, in a first step we use the Oaxaca-Blinder decomposition and, next, we exploit the time variation of the data using the methodology proposed by Juhn-Murphy-Pierce. The results show that most part of the differential is related to family characteristics more than to school characteristics. From a policy perspective, the obtained evidence support actions addressed to improve family conditions and not so much to positive discrimination of rural schools. Keywords: educational outcomes, PISA, urban-rural differences JEL codes:J24, I25, R58

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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa12p388.

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Date of creation: Oct 2012
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Handle: RePEc:wiw:wiwrsa:ersa12p388
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  1. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-42, June.
  2. Ronelle Burger, 2011. "School effectiveness in Zambia: The origins of differences between rural and urban outcomes," Development Southern Africa, Taylor & Francis Journals, vol. 28(2), pages 157-176.
  3. Ronald Oaxaca, 1971. "Male-Female Wage Differentials in Urban Labor Markets," Working Papers 396, Princeton University, Department of Economics, Industrial Relations Section..
  4. Eric A. Hanushek & John F. Kain & Jacob M. Markman & Steven G. Rivkin, 2001. "Does Peer Ability Affect Student Achievement?," NBER Working Papers 8502, National Bureau of Economic Research, Inc.
  5. Hakkinen, Iida & Kirjavainen, Tanja & Uusitalo, Roope, 2003. "School resources and student achievement revisited: new evidence from panel data," Economics of Education Review, Elsevier, vol. 22(3), pages 329-335, June.
  6. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages F34-F63, February.
  7. Hanushek, Eric A. & Luque, Javier A., 2003. "Efficiency and equity in schools around the world," Economics of Education Review, Elsevier, vol. 22(5), pages 481-502, October.
  8. Martins, Lurdes & Veiga, Paula, 2010. "Do inequalities in parents' education play an important role in PISA students' mathematics achievement test score disparities?," Economics of Education Review, Elsevier, vol. 29(6), pages 1016-1033, December.
  9. Lonnie Stevans & David Sessions, 2000. "Private/Public School Choice and Student Performance Revisited," Education Economics, Taylor & Francis Journals, vol. 8(2), pages 169-184.
  10. Meunier, Muriel, 2011. "Immigration and student achievement: Evidence from Switzerland," Economics of Education Review, Elsevier, vol. 30(1), pages 16-38, February.
  11. Eric A. Hanushek, 2002. "The Failure of Input-based Schooling Policies," NBER Working Papers 9040, National Bureau of Economic Research, Inc.
  12. Chiswick, Barry R. & DebBurman, Noyna, 2003. "Educational Attainment: Analysis by Immigrant Generation," IZA Discussion Papers 731, Institute for the Study of Labor (IZA).
  13. Behrman, Jere R., 2010. "Investment in Education Inputs and Incentives," Handbook of Development Economics, Elsevier.
  14. Richard Barnett & J. Colin Glass & Roger Snowdon & Karl Stringer, 2002. "Size, Performance and Effectiveness: Cost-Constrained Measures of Best-Practice Performance and Secondary-School Size," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 291-311.
  15. Vandenberghe, V. & Robin, S., 2004. "Evaluating the effectiveness of private education across countries: a comparison of methods," Labour Economics, Elsevier, vol. 11(4), pages 487-506, August.
  16. William Sander, 1996. "Catholic Grade Schools and Academic Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 540-548.
  17. Ibáñez, Ana Mari­a & Vélez, Carlos Eduardo, 2008. "Civil Conflict and Forced Migration: The Micro Determinants and Welfare Losses of Displacement in Colombia," World Development, Elsevier, vol. 36(4), pages 659-676, April.
  18. Naylor, Robin & Smith, Jeremy, 2002. "Schooling Effects On Subsequent University Performance : Evidence For The Uk University Population," The Warwick Economics Research Paper Series (TWERPS) 657, University of Warwick, Department of Economics.
  19. Alejandra Mizala & Pilar Romaguera, 2000. "School Performance and Choice: The Chilean Experience," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 392-417.
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