IDEAS home Printed from https://ideas.repec.org/p/cdl/indrel/qt88q510pj.html
   My bibliography  Save this paper

Are Measured School Effects Just Sorting? Identifying Causality in the National Education Longitudinal Survey

Author

Listed:
  • Levine, David I.
  • Painter, Gary

Abstract

Youth sharing a school and neighborhoods often have similar academic achievement. This correlation between neighborhood quality and youth achievement holds even when controlling for many observable features of a family. Nevertheless, the correlation is not entirely causal because families and youth are sorted into relatively homogeneous groups. Thus, the quality of the school or neighborhood in part acts as a proxy for hard-to-measure attributes of the family. To enable separate estimation of sorting and school effects, we use the characteristics of the high school students will attend as an additional indicator of family background. When we compare youth who are at the same junior high school, the above measure is an appropriate instrument to identify family background separately from neighborhood and junior high school effects. Even after this correction, the point estimate of school effects on student achievement remains large and is statistically significant.

Suggested Citation

  • Levine, David I. & Painter, Gary, 2000. "Are Measured School Effects Just Sorting? Identifying Causality in the National Education Longitudinal Survey," Institute for Research on Labor and Employment, Working Paper Series qt88q510pj, Institute of Industrial Relations, UC Berkeley.
  • Handle: RePEc:cdl:indrel:qt88q510pj
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/88q510pj.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lawrence Katz & B. Jeffrey Liebman, 2000. "Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment," Working Papers 820, Princeton University, Department of Economics, Industrial Relations Section..
    2. repec:fth:prinin:441 is not listed on IDEAS
    3. 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.
    4. Daniel Aaronson, 1998. "Using Sibling Data to Estimate the Impact of Neighborhoods on Children's Educational Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 915-946.
    5. Lawrence F. Katz & Jeffrey R. Kling & Jeffrey B. Liebman, 2001. "Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 607-654.
    6. 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.
    7. 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.
    8. Anne C. Case & Lawrence F. Katz, 1991. "The Company You Keep: The Effects of Family and Neighborhood on Disadvantaged Youths," NBER Working Papers 3705, National Bureau of Economic Research, Inc.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David I. Levine & Gary Painter, 2003. "Are Measured School Effects Just Sorting?," Working Paper 8619, USC Lusk Center for Real Estate.
    2. Fertig, Michael, 2003. "Educational Production, Endogenous Peer Group Formation and Class Composition - Evidence From the PISA 2000 Study," RWI Discussion Papers 2, RWI - Leibniz-Institut für Wirtschaftsforschung.
    3. Adriaan R. Soetevent, 2006. "Empirics of the Identification of Social Interactions; An Evaluation of the Approaches and Their Results," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 193-228, April.
    4. Kang, Changhui, 2007. "Classroom peer effects and academic achievement: Quasi-randomization evidence from South Korea," Journal of Urban Economics, Elsevier, vol. 61(3), pages 458-495, May.
    5. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    6. Patrick Bayer & Stephen L. Ross & Giorgio Topa, 2008. "Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 1150-1196, December.
    7. Clark, Andrew E. & Loheac, Youenn, 2007. ""It wasn't me, it was them!" Social influence in risky behavior by adolescents," Journal of Health Economics, Elsevier, vol. 26(4), pages 763-784, July.
    8. Bayer, Patrick & Pintoff, Randi & Pozen, David E., 2003. "Building Criminal Capital Behind Bars: Social Learning in Juvenile Corrections," Center Discussion Papers 28511, Yale University, Economic Growth Center.
    9. Anne R. Pebley & Narayan Sastry, 2003. "Neighborhoods, Poverty and Children's Well-being: A Review," Working Papers 03-04, RAND Corporation.
    10. Gordon B. Dahl & Katrine V. L?ken & Magne Mogstad, 2014. "Peer Effects in Program Participation," American Economic Review, American Economic Association, vol. 104(7), pages 2049-2074, July.
    11. Anne R. Pebley & Narayan Sastry, 2003. "Neighborhoods, Poverty and Children’s Well-being A Review," Working Papers DRU-3001-NICHD, RAND Corporation.
    12. Elisabetta Lazzaro & Carlofilippo Frateschi, 2008. "Attendance to cultural events and spousal influences: the Italian case," "Marco Fanno" Working Papers 0084, Dipartimento di Scienze Economiche "Marco Fanno".
    13. Kling, Jeffrey & Liebman, Jeffrey, 2004. "Experimental Analysis of Neighborhood Effects on Youth," Working Paper Series rwp04-034, Harvard University, John F. Kennedy School of Government.
    14. Daiji Kawaguchi, 2004. "Peer effects on substance use among American teenagers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 17(2), pages 351-367, June.
    15. Bruce A. Weinberg & Patricia B. Reagan & Jeffrey J. Yankow, 2004. "Do Neighborhoods Affect Hours Worked? Evidence from Longitudinal Data," Journal of Labor Economics, University of Chicago Press, vol. 22(4), pages 891-924, October.
    16. ÖZGÜR, Onur & BISIN, Alberto, 2011. "Dynamic Linear Economies with Social Interactions," Cahiers de recherche 04-2011, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    17. Rhiannon Patterson, 2008. "Neighborhood Effects on High-School Drop-Out Rates and Teenage Childbearing: Tests for Non-Linearities, Race-Specific Effects, Interactions with Family Characteristics, and Endogenous Causation using ," Working Papers 08-12, Center for Economic Studies, U.S. Census Bureau.
    18. 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.
    19. McEwan, Patrick J., 2003. "Peer effects on student achievement: evidence from Chile," Economics of Education Review, Elsevier, vol. 22(2), pages 131-141, April.
    20. Li, Qiang & Zang, Wenbin & An, Lian, 2013. "Peer effects and school dropout in rural China," China Economic Review, Elsevier, vol. 27(C), pages 238-248.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:indrel:qt88q510pj. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/irucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.