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School Boards and Student Segregation

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  • Hugh Macartney
  • John D. Singleton

Abstract

This paper provides the first causal evidence about how elected local school boards affect student segregation across schools. The key identification challenge is that the composition of a school board is potentially correlated with unobserved determinants of school segregation, such as the pattern of household sorting and the degree to which boards are geographically constrained in defining zones of attendance. We overcome this issue using a regression discontinuity design at the electoral contest level, exploiting quasi-random variation from narrowly-decided elections. Such an approach is made possible by a unique dataset, which combines matched information about North Carolina school board candidates (including vote shares and political affiliation) with time-varying district-level racial and economic segregation outcomes. Focusing on the political composition of school board members, two-stage least squares estimates reveal that (relative to their non-Democrat counterparts) Democrat board members decrease racial segregation across schools. These estimates significantly differ from their ordinary least squares counterparts, indicating that the latter are biased upward (understating the effects). Our findings suggest that school boards realize such reductions in segregation by shifting attendance zones, a novel measure of which we construct without the need for exact geocoded boundaries. While the effect of adjusting boundaries does not appear to be offset by within-district neighborhood re-sorting in the short run, we uncover causal evidence of “white flight” out of public schools in districts in which boards have acted to reduce segregation.

Suggested Citation

  • Hugh Macartney & John D. Singleton, 2017. "School Boards and Student Segregation," NBER Working Papers 23619, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23619
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    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    3. Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2009. "New Evidence about Brown v. Board of Education: The Complex Effects of School Racial Composition on Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 349-383, July.
    4. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    5. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    6. Brian Beach & Daniel B. Jones, 2017. "Gridlock: Ethnic Diversity in Government and the Provision of Public Goods," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 112-136, February.
    7. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    8. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    9. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    10. Nathaniel Baum-Snow & Byron F. Lutz, 2011. "School Desegregation, School Choice, and Changes in Residential Location Patterns by Race," American Economic Review, American Economic Association, vol. 101(7), pages 3019-3046, December.
    11. Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2006. "Preferences and Heterogeneous Treatment Effects in a Public School Choice Lottery," NBER Working Papers 12145, National Bureau of Economic Research, Inc.
    12. Carrington, William J & Troske, Kenneth R, 1997. "On Measuring Segregation in Samples with Small Units," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 402-409, October.
    13. Adam J. Kapor & Christopher A. Neilson & Seth D. Zimmerman, 2020. "Heterogeneous Beliefs and School Choice Mechanisms," American Economic Review, American Economic Association, vol. 110(5), pages 1274-1315, May.
    14. Jonathan Guryan, 2004. "Desegregation and Black Dropout Rates," American Economic Review, American Economic Association, vol. 94(4), pages 919-943, September.
    15. Cascio, Elizabeth & Gordon, Nora & Lewis, Ethan & Reber, Sarah, 2008. "From Brown to busing," Journal of Urban Economics, Elsevier, vol. 64(2), pages 296-325, September.
    16. Sarah J. Reber, 2005. "Court Ordered Desegregation: Successes and Failures Integrating American Schools since Brown versus Board of Education," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    17. Sean F. Reardon & Elena Tej Grewal & Demetra Kalogrides & Erica Greenberg, 2012. "Brown Fades: The End of Court‐Ordered School Desegregation and the Resegregation of American Public Schools," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 31(4), pages 876-904, September.
    18. Fernando Ferreira & Joseph Gyourko, 2009. "Do Political Parties Matter? Evidence from U.S. Cities," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 399-422.
    19. Shamena Anwar & Patrick Bayer & Randi Hjalmarsson, 2012. "The Impact of Jury Race in Criminal Trials," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 1017-1055.
    20. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, May.
    21. Stephen B. Billings & Jonah Rockoff, 2014. "School Segregation, Educational Attainment, and Crime: Evidence from the End of Busing in Charlotte-Mecklenburg," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 435-476.
    22. Rucker C. Johnson, 2011. "Long-run Impacts of School Desegregation & School Quality on Adult Attainments," NBER Working Papers 16664, National Bureau of Economic Research, Inc.
    23. David S. Lee & Enrico Moretti & Matthew J. Butler, 2004. "Do Voters Affect or Elect Policies? Evidence from the U. S. House," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 807-859.
    24. Barrow, Lisa, 2002. "School choice through relocation: evidence from the Washington, D.C. area," Journal of Public Economics, Elsevier, vol. 86(2), pages 155-189, November.
    25. Matthew Gentzkow & Jesse Shapiro & Matt Taddy, 2016. "Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech," Working Papers id:11114, eSocialSciences.
    26. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2004. "Tiebout Sorting, Social Multipliers and the Demand for School Quality," NBER Working Papers 10871, National Bureau of Economic Research, Inc.
    27. Meier, Kenneth J. & England, Robert E., 1984. "Black Representation and Educational Policy: Are They Related?," American Political Science Review, Cambridge University Press, vol. 78(2), pages 392-403, June.
    28. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    29. Jane Cooley Fruehwirth, 2013. "Identifying peer achievement spillovers: Implications for desegregation and the achievement gap," Quantitative Economics, Econometric Society, vol. 4(1), pages 85-124, March.
    30. Byron Lutz, 2011. "The End of Court-Ordered Desegregation," American Economic Journal: Economic Policy, American Economic Association, vol. 3(2), pages 130-168, May.
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    2. Alvin Christian & Brian Jacob & John D. Singleton, 2022. "Assessing School District Decision-Making: Evidence from the COVID-19 Pandemic," NBER Working Papers 30520, National Bureau of Economic Research, Inc.
    3. Shi, Ying & Singleton, John D., 2019. "Expertise and Independence on Governing Boards: Evidence from School Districts," IZA Discussion Papers 12414, Institute of Labor Economics (IZA).
    4. Caetano, Gregorio & Macartney, Hugh, 2021. "What determines school segregation? The crucial role of neighborhood factors," Journal of Public Economics, Elsevier, vol. 194(C).

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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