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Econometric Methods for Research in Education

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  • Costas Meghir
  • Steven G. Rivkin

Abstract

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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Bibliographic Info

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

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References

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  1. 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.
  2. 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.
  3. John Kennan & James R. Walker, 2003. "The Effect of Expected Income on Individual Migration Decisions," NBER Working Papers 9585, National Bureau of Economic Research, Inc.
  4. 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.
  5. 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.
  6. 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.
  7. Michael P. Keane & Kenneth I. Wolpin, 1995. "The career decisions of young men," Working Papers 559, Federal Reserve Bank of Minneapolis.
  8. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25, pages 95-135.
  9. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
  10. Jesse Rothstein, 2009. "Student sorting and bias in value added estimation: Selection on observables and unobservables," NBER Working Papers 14666, National Bureau of Economic Research, Inc.
  11. 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.
  12. 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.
  13. 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).
  14. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Working Papers 07-27, Center for Economic Studies, U.S. Census Bureau.
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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Meghir and Rivkin NBER - Econometric Methods for Research in Education
    by Liam Delaney in Geary Behaviour Centre on 2010-07-19 08:07:00
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Cited by:
  1. De Simone, Gianfranco, 2013. "Render unto primary the things which are primary's: Inherited and fresh learning divides in Italian lower secondary education," Economics of Education Review, Elsevier, vol. 35(C), pages 12-23.
  2. Zimmerman, Seth D, 2011. "The Returns to Four-Year College for Academically Marginal Students," IZA Discussion Papers 6107, Institute for the Study of Labor (IZA).
  3. Cobb-Clark, Deborah A. & Jha, Nikhil, 2013. "Educational Achievement and the Allocation of School Resources," IZA Discussion Papers 7551, Institute for the Study of Labor (IZA).

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