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Are measured school effects just sorting?: Causality and correlation in the National Education Longitudinal Survey

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  • Levine, David I.
  • Painter, Gary

Abstract

Youth who share a school and neighborhood often show similar levels of academic achievement, but some studies find all or most of this correlation is due to sorting (not causation). We analyze the National Education Longitudinal Survey (NELS) in three ways to decompose sorting versus causality: We first control for much richer measures of family background than other analysts have used. We next use characteristics of the students' future high school as an instrument for family background (as future high school quality is correlated with unobserved family background but cannot cause junior high test scores). Finally, we use regression and semi-nonparametric matching methods to look at changes in test score when youth change schools. The results create a collage of evidence that a significant fraction of the correlation is causal.

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  • Levine, David I. & Painter, Gary, 2008. "Are measured school effects just sorting?: Causality and correlation in the National Education Longitudinal Survey," Economics of Education Review, Elsevier, vol. 27(4), pages 460-470, August.
  • Handle: RePEc:eee:ecoedu:v:27:y:2008:i:4:p:460-470
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    1. Joshua D. Angrist & Kevin Lang, 2002. "How Important are Classroom Peer Effects? Evidence from Boston's Metco Program," NBER Working Papers 9263, National Bureau of Economic Research, Inc.
    2. Jeffrey R. Kling & Jeffrey B. Liebman, 2004. "Experimental Analysis of Neighborhood Effects on Youth," Working Papers 1, Princeton University, Department of Economics, Industrial Relations Section..
    3. Jens Otto Ludwig & Greg Duncan & Joshua C. Pinkston, 2000. "Neighborhood Effects on Economic Self-Sufficiency: Evidence from a Randomized Housing-Mobility Experiment," JCPR Working Papers 159, Northwestern University/University of Chicago Joint Center for Poverty Research.
    4. Jens Ludwig & Greg J. Duncan & Paul Hirschfield, 2001. "Urban Poverty and Juvenile Crime: Evidence from a Randomized Housing-Mobility Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 655-679.
    5. William N. Evans & Wallace E. Oates & Robert M. Schwab & William N. Evans & Wallace E. Oates & Robert M. Schwab, 2004. "Measuring Peer Group Effects: A Study of Teenage Behavior," Chapters, in: Environmental Policy and Fiscal Federalism, chapter 13, pages 232-257, Edward Elgar Publishing.
    6. O'Regan, Katherine M. & Quigley, John M., 1996. "Spatial Effects upon Employment Outcomes: The Case of New Jersey Teenagers," University of California Transportation Center, Working Papers qt9v6457vv, University of California Transportation Center.
    7. Marianne E. Page & Gary Solon, 2003. "Correlations between Brothers and Neighboring Boys in Their Adult Earnings: The Importance of Being Urban," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 831-856, October.
    8. repec:pri:cheawb:j_kling_2005.pdf is not listed on IDEAS
    9. McEwan, Patrick J., 2003. "Peer effects on student achievement: evidence from Chile," Economics of Education Review, Elsevier, vol. 22(2), pages 131-141, April.
    10. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2004. "Disruption versus Tiebout improvement: the costs and benefits of switching schools," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1721-1746, August.
    11. O'Regan, Katherine M. & Quigley, John M., 1996. "Spatial Effects Upon Employment Outcomes: The Case of New Jersey Teenagers," Department of Economics, Working Paper Series qt6cw7b2w7, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    12. O'Regan, Katherine M. & Quigley, John M., 1996. "Spatial Effects upon Unemployment Outcomes: The Case of New Jersey Teenagers," Berkeley Program on Housing and Urban Policy, Working Paper Series qt5cn8m94b, Berkeley Program on Housing and Urban Policy.
    13. Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
    14. repec:pri:cheawb:j_kling_2005 is not listed on IDEAS
    15. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    16. Katherine M. O'Regan & John M. Quigley, 1996. "Spatial effects upon employment outcomes: the case of New Jersey teenagers," New England Economic Review, Federal Reserve Bank of Boston, issue May, pages 41-64.
    17. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    18. Ron W Zimmer & Eugenia F Toma, 2000. "Peer effects in private and public schools across countries," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 75-92.
    19. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
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    1. Painter Gary & Flores Edward, 2013. "Reclassification and Academic Success among English Language Learners: New Evidence from a Large Urban School District," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 13(1), pages 107-136, April.
    2. Lefebvre, Pierre & Merrigan, Philip & Verstraete, Matthieu, 2011. "Public subsidies to private schools do make a difference for achievement in mathematics: Longitudinal evidence from Canada," Economics of Education Review, Elsevier, vol. 30(1), pages 79-98, February.

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