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Econometric Methods for Research in Education

  • Costas Meghir
  • Steven G. Rivkin

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 by Willis 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.nber.org/papers/w16003.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16003.

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Date of creation: May 2010
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Publication status: published as Econometric methods for research in education , (with St e ven Rivkin), IFS Worki ng Papers, Handbook of Education, Hanushek and Machin eds. , 2011
Handle: RePEc:nbr:nberwo:16003
Note: CH ED LS
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  1. Kennan,J. & Walker,J.R., 2003. "The effect of expected income on individual migration decisions," Working papers 7, Wisconsin Madison - Social Systems.
  2. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2009. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," NBER Working Papers 15211, National Bureau of Economic Research, Inc.
  3. 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).
  4. 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.
  5. Steve Gibbons & Stephen Machin & Olmo Silva, 2009. "Valuing School Quality Using Boundary Discontinuities," SERC Discussion Papers 0018, Spatial Economics Research Centre, LSE.
  6. 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..
  7. 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.
  8. Michael P. Keane & Kenneth I. Wolpin, 1995. "The career decisions of young men," Working Papers 559, Federal Reserve Bank of Minneapolis.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
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