IDEAS home Printed from https://ideas.repec.org/p/fip/fedlwp/2014-050.html
   My bibliography  Save this paper

Semi-Parametric Interpolations of Residential Location Values: Using Housing Price Data to Generate Balanced Panels

Author

Abstract

We estimate location values for single family houses by local polynomial regressions (LPR), a semi-parametric procedure, using a standard housing price and characteristics dataset. As a logical extension of the LPR method, we interpolate land values for every property in every year and validate the accuracy of the interpolated estimates with an out-of-sample forecasting approach using Denver sales during 2003 through 2010. We also compare the LPR and OLS models out-of-sample and determine that the LPR model is more efficient at predicting location values. In a balanced panel application, we use GMM estimation to examine how the location value estimates are affected by airport infrastructure investments.

Suggested Citation

  • John M. Clapp & Jeffrey P. Cohen & Cletus C. Coughlin, 2014. "Semi-Parametric Interpolations of Residential Location Values: Using Housing Price Data to Generate Balanced Panels," Working Papers 2014-50, Federal Reserve Bank of St. Louis.
  • Handle: RePEc:fip:fedlwp:2014-050
    as

    Download full text from publisher

    File URL: http://research.stlouisfed.org/wp/2014/2014-050.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 577-599.
    2. John M. Clapp & Stephen L. Ross, 2004. "Schools and Housing Markets: An Examination of School Segregation and Performance in Connecticut," Economic Journal, Royal Economic Society, vol. 114(499), pages 425-440, November.
    3. David Brasington & Donald R. Haurin, 2006. "Educational Outcomes and House Values: A Test of the value added Approach," Journal of Regional Science, Wiley Blackwell, vol. 46(2), pages 245-268, May.
    4. Jeffrey P. Cohen & Cletus C. Coughlin, 2008. "Spatial Hedonic Models Of Airport Noise, Proximity, And Housing Prices," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 859-878, December.
    5. 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.
    6. Bourassa, Steven C. & Hoesli, Martin & Scognamiglio, Donato & Zhang, Sumei, 2011. "Land leverage and house prices," Regional Science and Urban Economics, Elsevier, vol. 41(2), pages 134-144, March.
    7. Davis, Morris A. & Heathcote, Jonathan, 2007. "The price and quantity of residential land in the United States," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2595-2620, November.
    8. Dye, Richard F. & McMillen, Daniel P., 2007. "Teardowns and land values in the Chicago metropolitan area," Journal of Urban Economics, Elsevier, vol. 61(1), pages 45-63, January.
    9. Jeffrey P. Cohen & Cletus C. Coughlin & David A. Lopez, 2012. "The boom and bust of U.S. housing prices from various geographic perspectives," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 341-368.
    10. Davis, Morris A. & Palumbo, Michael G., 2008. "The price of residential land in large US cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 352-384, January.
    11. Claudio A. Agostini & Gastón A. Palmucci, 2008. "The Anticipated Capitalisation Effect of a New Metro Line on Housing Prices," Fiscal Studies, Institute for Fiscal Studies, vol. 29(2), pages 233-256, June.
    12. Douglas B. Diamond, Jr., 1980. "The Relationship between Amenities and Urban Land Prices," Land Economics, University of Wisconsin Press, vol. 56(1), pages 21-32.
    13. Cohen, Jeffrey P. & Morrison Paul, Catherine J., 2003. "Airport infrastructure spillovers in a network system," Journal of Urban Economics, Elsevier, vol. 54(3), pages 459-473, November.
    14. John M. Clapp, 2004. "A Semiparametric Method for Estimating Local House Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(1), pages 127-160, March.
    15. Clapp, John M. & Salavei, Katsiaryna, 2010. "Hedonic pricing with redevelopment options: A new approach to estimating depreciation effects," Journal of Urban Economics, Elsevier, vol. 67(3), pages 362-377, May.
    16. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jeffrey P. Cohen & Cletus C. Coughlin & John M. Clapp, 2017. "Local Polynomial Regressions versus OLS for Generating Location Value Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 54(3), pages 365-385, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeffrey P. Cohen & Cletus C. Coughlin & John M. Clapp, 2017. "Local Polynomial Regressions versus OLS for Generating Location Value Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 54(3), pages 365-385, April.
    2. John M. Clapp & Jeffrey P. Cohen & Cletus C. Coughlin, 2015. "Local Polynomial Regressions versus OLS for Generating Location Value Estimates: Which is More Efficient in Out-of-Sample Forecasts?," Working Papers 2015-14, Federal Reserve Bank of St. Louis.
    3. Clapp, John M. & Lindenthal, Thies, 2022. "Urban land valuation with bundled good and land residual assumptions," Journal of Housing Economics, Elsevier, vol. 58(PA).
    4. Davis, Morris A. & Oliner, Stephen D. & Pinto, Edward J. & Bokka, Sankar, 2017. "Residential land values in the Washington, DC metro area: New insights from big data," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 224-246.
    5. John M. Clapp & Jeffrey P. Cohen & Thies Lindenthal, 2023. "Are Estimates of Rapid Growth in Urban Land Values an Artifact of the Land Residual Model?," The Journal of Real Estate Finance and Economics, Springer, vol. 66(2), pages 373-421, February.
    6. Clapp, John M. & Bardos, Katsiaryna Salavei & Wong, S.K., 2012. "Empirical estimation of the option premium for residential redevelopment," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 240-256.
    7. Christian A. L. Hilber, 2017. "The Economic Implications of House Price Capitalization: A Synthesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(2), pages 301-339, April.
    8. Ünsal Özdilek, 2020. "Land and building separation based on Shapley values," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-13, December.
    9. Roland Füss & Jan A. Koller & Alois Weigand, 2021. "Determining Land Values from Residential Rents," Land, MDPI, vol. 10(4), pages 1-29, March.
    10. Clapp, John M. & Eichholtz, Piet & Lindenthal, Thies, 2013. "Real option value over a housing market cycle," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 862-874.
    11. Kok, Nils & Monkkonen, Paavo & Quigley, John M., 2014. "Land use regulations and the value of land and housing: An intra-metropolitan analysis," Journal of Urban Economics, Elsevier, vol. 81(C), pages 136-148.
    12. Xiaozhou Ding & Christopher Bollinger & Michael Clark & William H. Hoyt, 2022. "Too Late to Buy a Home? School Redistricting and the Timing and Extent of Capitalization," CESifo Working Paper Series 9647, CESifo.
    13. Lora, Eduardo & Powell, Andrew, 2011. "A New Way of Monitoring the Quality of Urban Life," IDB Publications (Working Papers) 3806, Inter-American Development Bank.
    14. Xiaozhou Ding & Christopher Bollinger & Michael Clark & William H. Hoyt, 2020. "How Do School District Boundary Changes and New School Proposals Affect Housing Prices," CESifo Working Paper Series 8069, CESifo.
    15. Ryan Greenaway-McGrevy & Gail Pacheco & Kade Sorensen, 2018. "Land Use Regulation, the Redevelopment Premium and House Prices," Working Papers 2018-02 JEL Classificatio, Auckland University of Technology, Department of Economics.
    16. Allen Head & Huw Lloyd-Ellis & Hongfei Sun, 2014. "Search, Liquidity, and the Dynamics of House Prices and Construction," American Economic Review, American Economic Association, vol. 104(4), pages 1172-1210, April.
    17. Machin, Stephen, 2011. "Houses and schools: Valuation of school quality through the housing market," Labour Economics, Elsevier, vol. 18(6), pages 723-729.
    18. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    19. Clapp, John M. & Nanda, Anupam & Ross, Stephen L., 2008. "Which school attributes matter? The influence of school district performance and demographic composition on property values," Journal of Urban Economics, Elsevier, vol. 63(2), pages 451-466, March.
    20. Fack, Gabrielle & Grenet, Julien, 2010. "When do better schools raise housing prices? Evidence from Paris public and private schools," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 59-77, February.

    More about this item

    Keywords

    Land Values; Semi-Parametric Estimation; Local Polynomial Regressions; Balanced Panel; Fixed Effects;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • R51 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Finance in Urban and Rural Economies
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:fedlwp:2014-050. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anna Oates (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.