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Which Measures of School Quality Does the Housing Market Value?

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Abstract

This study explores which measures of public school quality the housing market values. Both a traditional hedonic house price estimation and a hedonic corrected for spatial autocorrelation are used. Proficiency tests, expenditure per pupil and the pupil / teacher ratio are consistently capitalized into housing prices. Teacher salary and student attendance rates are also valued, but these results are sensitive to the estimation technique employed. Value-added measures, the graduation rate, teacher experience levels and teacher education levels are not consistently positively related to housing prices, so researchers should probably avoid using them as public education quality measures.

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File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol18n03/v18o395.pdf
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Bibliographic Info

Article provided by American Real Estate Society in its journal Journal of Real Estate Research.

Volume (Year): 18 (1999)
Issue (Month): 3 ()
Pages: 395-414

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Handle: RePEc:jre:issued:v:18:n:3:1999:p:395-414

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Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
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Web page: http://www.aresnet.org/

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Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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Web: http://aux.zicklin.baruch.cuny.edu/jrer/about/get.htm

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  1. Michael L. Walden, 1990. "Magnet Schools and the Differential Impact of School Quality on Residential Property Values," Journal of Real Estate Research, American Real Estate Society, vol. 5(2), pages 221-230.
  2. Harrison, David Jr. & Rubinfeld, Daniel L., 1978. "Hedonic housing prices and the demand for clean air," Journal of Environmental Economics and Management, Elsevier, vol. 5(1), pages 81-102, March.
  3. G. Donald Jud & Terry G. Seaks, 1994. "Sample Selection Bias in Estimating Housing Sales Prices," Journal of Real Estate Research, American Real Estate Society, vol. 9(3), pages 289-298.
  4. Sonstelie, Jon C. & Portney, Paul R., 1980. "Gross rents and market values: Testing the implications of Tiebout's hypothesis," Journal of Urban Economics, Elsevier, vol. 7(1), pages 102-118, January.
  5. R. Kelley Pace, 1998. "Total Grid Estimation," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 101-114.
  6. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
  7. Clapp, John M & Rodriguez, Mauricio, 1999. "Erratum: Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 19(1), pages 85, July.
  8. LeSage, James P., 1997. "Regression Analysis of Spatial Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 27(2).
  9. Oates, Wallace E, 1969. "The Effects of Property Taxes and Local Public Spending on Property Values: An Empirical Study of Tax Capitalization and the Tiebout Hypothesis," Journal of Political Economy, University of Chicago Press, vol. 77(6), pages 957-71, Nov./Dec..
  10. 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.
  11. David M. Brasington, 2000. "Demand and Supply of Public School Quality in Metropolitan Areas: The Role of Private Schools," Journal of Regional Science, Wiley Blackwell, vol. 40(3), pages 583-605.
  12. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-52, September.
  13. G. Donald Jud, 1985. "A Further Note on Schools and Housing Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 13(4), pages 452-462.
  14. G. Donald Jud & James M. Watts, 1981. "Schools and Housing Values," Land Economics, University of Wisconsin Press, vol. 57(3), pages 459-470.
  15. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
  16. Grether, D. M. & Mieszkowski, Peter, 1974. "Determinants of real estate values," Journal of Urban Economics, Elsevier, vol. 1(2), pages 127-145, April.
  17. Pace, R Kelley, et al, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
  18. Rosen, Harvey S & Fullerton, David J, 1977. "A Note on Local Tax Rates, Public Benefit Levels, and Property Values," Journal of Political Economy, University of Chicago Press, vol. 85(2), pages 433-40, April.
  19. Linneman, Peter, 1980. "Some empirical results on the nature of the hedonic price function for the urban housing market," Journal of Urban Economics, Elsevier, vol. 8(1), pages 47-68, July.
  20. Francois Des Rosiers & Marius Theriault, 1996. "Rental Amenities and the Stability of Hedonic Prices: A Comparative Analysis of Five Market Segments," Journal of Real Estate Research, American Real Estate Society, vol. 12(1), pages 17-36.
  21. Eric A. Hanushek & Lori L. Taylor, 1990. "Alternative Assessments of the Performance of Schools: Measurement of State Variations in Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 25(2), pages 179-201.
  22. Donald Haurin & David Brasington, 1996. "The Impact of School Quality on Real House Prices: Interjurisdictional Effects," Working Papers 010, Ohio State University, Department of Economics.
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