IDEAS home Printed from https://ideas.repec.org/a/jre/issued/v18n31999p395-414.html
   My bibliography  Save this article

Which Measures of School Quality Does the Housing Market Value?

Author

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.

Suggested Citation

  • David M. Brasington, 1999. "Which Measures of School Quality Does the Housing Market Value?," Journal of Real Estate Research, American Real Estate Society, vol. 18(3), pages 395-414.
    • Handle: RePEc:jre:issued:v:18:n:3:1999:p:395-414
    as

    Download full text from publisher

    File URL: http://pages.jh.edu/jrer/papers/pdf/past/vol18n03/v18o395.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. G. Donald Jud & James M. Watts, 1981. "Schools and Housing Values," Land Economics, University of Wisconsin Press, vol. 57(3), pages 459-470.
    2. 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.
    3. 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.
    4. Grether, D. M. & Mieszkowski, Peter, 1974. "Determinants of real estate values," Journal of Urban Economics, Elsevier, vol. 1(2), pages 127-145, April.
    5. 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.
    6. 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.
    7. 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.
    8. 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 957-971, Nov./Dec..
    9. Pace, R Kelley & Barry, Ronald & Clapp, John M. & Rodriquez, Mauricio, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
    10. 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 433-440, April.
    11. 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.
    12. 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 1-85, July.
    13. 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.
    14. 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.
    15. 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.
    16. R. Kelley Pace, 1998. "Total Grid Estimation," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 101-114.
    17. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
    18. 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.
    19. 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.
    20. 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.
    21. LeSage, James P., 1997. "Regression Analysis of Spatial Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 0(Issue 2), pages 1-12.
    22. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    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:jre:issued:v:18:n:3:1999:p:395-414. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (JRER Graduate Assistant/Webmaster). General contact details of provider: http://www.aresnet.org/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.