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The effect of school resources on test scores in England

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  • Cheti Nicoletti
  • Birgitta Rabe

Abstract

We analyze the effect of school expenditure on children's test scores at age 16 by means of an education production model. By using unique register data of English pupils, we exploit the availability of test scores across time, subjects and siblings to control for various sources of input omission and measurement error bias. We overcome one of the main criticisms against the value-added model by proposing a novel method to control for the endogeneity of the lagged test. We find evidence of a positive but small effect of per pupil expenditure on test scores.

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Bibliographic Info

Paper provided by Department of Economics, University of York in its series Discussion Papers with number 12/19.

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Date of creation: Jul 2012
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Handle: RePEc:yor:yorken:12/19

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Postal: Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
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Web page: http://www.york.ac.uk/economics/
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Keywords: Education production function; cognitive achievements; child development;

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  1. Orley Ashenfelter & Alan Krueger, 1992. "Estimates of the Economic Return to Schooling from a New Sample of Twins," Working Papers 683, Princeton University, Department of Economics, Industrial Relations Section..
  2. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
  3. Stephen Gibbons & Sandra McNally & Martina Viarengo, 2011. "Does Additional Spending Help Urban Schools? An Evaluation Using Boundary Discontinuities," CEE Discussion Papers 0128, Centre for the Economics of Education, LSE.
  4. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
  5. Lorraine Dearden & Javier Ferri & Costas Meghir, 2000. "The effect of school quality on educational attainment and wages," IFS Working Papers W00/22, Institute for Fiscal Studies.
  6. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
  7. Dan A. Black & Jeffrey A. Smith, 2006. "Estimating the Returns to College Quality with Multiple Proxies for Quality," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 701-728, July.
  8. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
  9. Alan B. Krueger, 1997. "Experimental Estimates of Education Production Functions," NBER Working Papers 6051, National Bureau of Economic Research, Inc.
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