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Econometric methods for research in education

  • Costas Meghir

    ()

    (Institute for Fiscal Studies and Yale University)

  • Steven Rivkin

    (Institute for Fiscal Studies)

This paper reviews some of the econometric methods that have been used in the economics of education. The focus is on understanding how the assumptions made to justify and implement such methods relate to the underlying economic model and the interpretation of the results. We start by considering the estimation of the returns to education both within the context of a dynamic discrete choice model inspired byWillis and Rosen (1979) and in the context of the Mincer model. We discuss the relationship between the econometric assumptions and economic behaviour. We then discuss methods that have been used in the context of assessing the impact of education quality, the teacher contribution to pupils' achievement and the effect of school quality on housing prices. In the process we also provide a summary of some of the main results in this literature.

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File URL: http://www.ifs.org.uk/wps/wp1010.pdf
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Paper provided by Institute for Fiscal Studies in its series IFS Working Papers with number W10/10.

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Date of creation: May 2010
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Handle: RePEc:ifs:ifsewp:10/10
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  1. Stephen Gibbons & Stephen Machin & Olmo Silva, 2012. "Valuing school quality using boundary discontinuities," LSE Research Online Documents on Economics 45239, London School of Economics and Political Science, LSE Library.
  2. Kennan,J. & Walker,J.R., 2003. "The effect of expected income on individual migration decisions," Working papers 7, Wisconsin Madison - Social Systems.
  3. Jesse Rothstein, 2008. "Student Sorting and Bias in Value Added Estimation: Selection on Observables and Unobservables," Working Papers 1054, Princeton University, Department of Economics, Center for Economic Policy Studies..
  4. Douglas N. Harris & Tim R. Sass, 2009. "The effects of NBPTS-certified teachers on student achievement," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 55-80.
  5. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," NBER Working Papers 13236, National Bureau of Economic Research, Inc.
  6. Christopher Jepsen & Steven Rivkin, 2009. "Class Size Reduction and Student Achievement: The Potential Tradeoff between Teacher Quality and Class Size," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
  7. Weili Ding & Steven Lehrer, 2005. "Class Size and Student Achievement: Experimental Estimates of Who Benefits and Who Loses from Reductions," Working Papers 1046, Queen's University, Department of Economics.
  8. Flavio Cunha & James Heckman & Susanne Schennach, 2010. "Estimating the technology of cognitive and noncognitive skill formation," CeMMAP working papers CWP09/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  9. Daniel Aaronson & Lisa Barrow & William Sander, 2002. "Teachers and student achievement in the Chicago public high schools," Working Paper Series WP-02-28, Federal Reserve Bank of Chicago.
  10. Donghoon Lee, 2005. "An Estimable Dynamic General Equilibrium Model Of Work, Schooling, And Occupational Choice," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(1), pages 1-34, 02.
  11. Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," Econometrica, Econometric Society, vol. 78(1), pages 377-394, 01.
  12. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
  13. Abbring, Jaap H. & Heckman, James J., 2007. "Econometric Evaluation of Social Programs, Part III: Distributional Treatment Effects, Dynamic Treatment Effects, Dynamic Discrete Choice, and General Equilibrium Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 72 Elsevier.
  14. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, 09.
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