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Distribution of Demand for School Quality: Evidence from Quantile Regression

  • Wada, Roy
  • Herbert, Zahirovic-Herbert
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Our results show that high-income families place significantly higher value on academic achievement than low-income families. High-income families are also more likely to penalize house price for non-desirable non-academic school quality. This paper uses quantile regression to examine the distribution of demand for school quality. For academic achievement, the average effects as estimated by OLS are biased toward zero due to “aggregation” of families’ willingness to pay. We take advantage of a court-ordered redistricting as a quasi-random assignment of school quality. Subdivision and school fixed-effects are used to control for unobserved characteristics.

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File URL: https://mpra.ub.uni-muenchen.de/18078/1/MPRA_paper_18078.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 18078.

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Date of creation: Oct 2009
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Handle: RePEc:pra:mprapa:18078
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  1. David Brasington & Don Haurin, . "Educational Outcomes and House Values: A Test of the Value-Added Approach," Departmental Working Papers 2005-03, Department of Economics, Louisiana State University.
  2. 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.
  3. Haurin, Donald R. & Brasington, David, 1996. "School Quality and Real House Prices: Inter- and Intrametropolitan Effects," Journal of Housing Economics, Elsevier, vol. 5(4), pages 351-368, December.
  4. Brian A. Jacob & Lars Lefgren, 2005. "What Do Parents Value in Education? An Empirical Investigation of Parents' Revealed Preferences for Teachers," NBER Working Papers 11494, National Bureau of Economic Research, Inc.
  5. Mata, Jose & Machado, Jose A. F., 1996. "Firm start-up size: A conditional quantile approach," European Economic Review, Elsevier, vol. 40(6), pages 1305-1323, June.
  6. Sandra E. Black, 1997. "Do better schools matter? Parental valuation of elementary education," Research Paper 9729, Federal Reserve Bank of New York.
  7. Kathy J. Hayes & Lori L. Taylor, 1996. "Neighborhood school characteristics: what signals quality to homebuyers?," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q IV, pages 2-9.
  8. Hastings, Justine S. & Kane, Thomas J. & Staiger, Douglas O., 2005. "Parental Preferences and School Competition: Evidence from a Public School Choice Program," Working Papers 10, Yale University, Department of Economics.
  9. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275.
  10. John Ries & Tsur Somerville, 2010. "School Quality and Residential Property Values: Evidence from Vancouver Rezoning," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 928-944, November.
  11. William Gould, 1998. "Interquartile and simultaneous-quantile regression," Stata Technical Bulletin, StataCorp LP, vol. 7(38).
  12. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  13. Geoffrey Turnbull & Jonathan Dombrow, 2006. "Spatial Competition and Shopping Externalities: Evidence from the Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 32(4), pages 391-408, June.
  14. Figlio, David N., 1999. "Functional form and the estimated effects of school resources," Economics of Education Review, Elsevier, vol. 18(2), pages 241-252, April.
  15. William Gould, 1993. "Quantile regression with bootstrapped standard errors," Stata Technical Bulletin, StataCorp LP, vol. 2(9).
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