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School Markets: The Impact of Information Approximating Schools' Effectiveness

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Author Info
Alejandra Mizala
Miguel Urquiola

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Abstract

The impact of competition on academic outcomes is likely to depend on whether parents are informed about schools' effectiveness or valued added (which may or may not be correlated with absolute measures of their quality), and on whether this information influences their school choices, thereby affecting schools' market outcomes. To explore these issues, this paper considers Chile's SNED program, which seeks to identify effective schools, selecting them from within "homogeneous groups" of arguably comparable institutions. Its results are widely disseminated, and the information it generates is quite different from that conveyed by a simple test-based ranking of schools (which in Chile, turns out to largely resemble a ranking based on socioeconomic status). We rely on a sharp regression discontinuity to estimate the effect that being identified as a SNED winner has on schools’ enrollment, tuition levels, and socioeconomic composition. Through five applications of the program, we find no consistent evidence that winning a SNED award affects these outcomes. This suggests that information on school effectiveness -- at least as it is calculated and delivered by the SNED -- might not much affect school markets.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 13676.

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Date of creation: Nov 2007
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Handle: RePEc:nbr:nberwo:13676

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I2 - Health, Education, and Welfare - - Education

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  1. David Card & Alexandre Mas & Jesse Rothstein, 2007. "Tipping and the Dynamics of Segregation," NBER Working Papers 13052, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  2. Derek Neal & Diane Whitmore Schanzenbach, 2007. "Left Behind By Design: Proficiency Counts and Test-Based Accountability," NBER Working Papers 13293, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Kenneth Y. Chay & Patrick J. McEwan & Miguel Urquiola, 2003. "The Central Role of Noise in Evaluating Interventions that Use Test Scores to Rank Schools," NBER Working Papers 10118, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  4. Hsieh, Chang-Tai & Urquiola, Miguel, 2006. "The effects of generalized school choice on achievement and stratification: Evidence from Chile's voucher program," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1477-1503, September. [Downloadable!] (restricted)
  5. Brian A. Jacob, 2007. "Test-Based Accountability and Student Achievement: An Investigation of Differential Performance on NAEP and State Assessments," NBER Working Papers 12817, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. Randall Reback, 2006. "Teaching to the Rating: School Accountability and the Distribution of Student Achievement," Working Papers 0602, Barnard College, Department of Economics. [Downloadable!]
  7. Patrick Bayer & Robert McMillan, 2005. "Racial Sorting and Neighborhood Quality," NBER Working Papers 11813, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  8. Abhijit Banerjee & Esther Duflo, 2006. "Addressing Absence," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 117-132, Winter. [Downloadable!] (restricted)
  9. Miguel Urquiola & Eric Verhoogen, 2007. "Class Size and Sorting in Market Equilibrium: Theory and Evidence," NBER Working Papers 13303, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  10. Jesse M. Rothstein, 2006. "Good Principals or Good Peers? Parental Valuation of School Characteristics, Tiebout Equilibrium, and the Incentive Effects of Competition among Jurisdictions," American Economic Review, American Economic Association, vol. 96(4), pages 1333-1350, September.
  11. Brunner, Eric & Sonstelie, Jon & Thayer, Mark, 2001. "Capitalization and the Voucher: An Analysis of Precinct Returns from California's Proposition 174," Journal of Urban Economics, Elsevier, vol. 50(3), pages 517-536, November. [Downloadable!] (restricted)
  12. Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Working Papers 13039, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  13. Thomas J. Kane & Douglas O. Staiger, 2002. "The Promise and Pitfalls of Using Imprecise School Accountability Measures," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 91-114, Fall. [Downloadable!] (restricted)
  14. Justin McCrary, 2007. "Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test," NBER Technical Working Papers 0334, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  15. David S. Lee & David Card, 2006. "Regression Discontinuity Inference with Specification Error," NBER Technical Working Papers 0322, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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