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Quasi-Experiments and Hedonic Property Value Methods

Author

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  • Christopher F. Parmeter

    (Department of Economics, University of Miami)

  • Jaren C. Pope

    (Department of Economics, Brigham Young University)

Abstract

There has recently been a dramatic increase in the number of papers that have combined quasi-experimental methods with hedonic property models. This is largely due to the concern that cross-sectional hedonic methods may be severely biased by omitted variables. While the empirical literature has developed extensively, there has not been a consistent treatment of the theory and methods of combining hedonic property models with quasi-experiments. The purpose of this chapter is to fill this void. An effort is made to provide background information on the traditional hedonic theory, the traditional cross-sectional hedonic methods as well as the newer quasi-experimental hedonic methods that use program evaluation techniques. By connecting these two literatures, the underlying theoretical and empirical assumptions necessary to estimate the marginal willingness to pay for a housing characteristic are highlighted. The chapter also provides a practical how to guide on implementing a quasi-experimental hedonic analysis. This is done by focusing on a series of steps that can help to ensure the reliability of a quasi-experimental identification strategy. We illustrate this process using several recent papers from the literature.

Suggested Citation

  • Christopher F. Parmeter & Jaren C. Pope, 2012. "Quasi-Experiments and Hedonic Property Value Methods," Working Papers 2012-7, University of Miami, Department of Economics.
  • Handle: RePEc:mia:wpaper:2012-7
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    File URL: http://bus.miami.edu/_assets/files/repec/WP2012-07.pdf
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Fernando Carriazo & Julian Peñaranda, 2015. "The Effect of Commuting Costs to Employment Centers on Urban Property Values: A Spatial Analysis in Bogotá, Colombia," DOCUMENTOS CEDE 013133, UNIVERSIDAD DE LOS ANDES-CEDE.
    2. Lucija Muehlenbachs & Elisheba Spiller & Christopher Timmins, 2015. "The Housing Market Impacts of Shale Gas Development," American Economic Review, American Economic Association, vol. 105(12), pages 3633-3659, December.
    3. Amélie Mauroux, 2015. "L’information préventive améliore-t-elle la perception des risques? Impact de l’Information Acquéreur Locataire sur le prix des logements," Policy Papers 2015.05, FAERE - French Association of Environmental and Resource Economists.
    4. Stefan Boes & Stephan Nüesch & Steven Stillman, 2013. "Aircraft Noise, Health, And Residential Sorting: Evidence From Two Quasi‐Experiments," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1037-1051, September.
    5. Hodge, Timothy R. & Komarek, Timothy M., 2016. "Capitalizing on Neighborhood Enterprise Zones: Are Detroit residents paying for the NEZ Homestead exemption?," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 18-25.
    6. repec:eee:jeeman:v:88:y:2018:i:c:p:311-326 is not listed on IDEAS
    7. Delgado, Michael S. & Harriger, Jessica L. & Khanna, Neha, 2015. "The value of environmental status signaling," Ecological Economics, Elsevier, vol. 111(C), pages 1-11.
    8. Rohlfs, Chris & Sullivan, Ryan & Kniesner, Thomas J., 2013. "Hedonic Estimation under Very General Conditions Using Experimental and Quasi-Experimental Designs," IZA Discussion Papers 7554, Institute for the Study of Labor (IZA).
    9. Boes, Stefan & Nüesch, Stephan, 2011. "Quasi-experimental evidence on the effect of aircraft noise on apartment rents," Journal of Urban Economics, Elsevier, vol. 69(2), pages 196-204, March.
    10. LeGower, Michael & Walsh, Randall, 2017. "Promise scholarship programs as place-making policy: Evidence from school enrollment and housing prices," Journal of Urban Economics, Elsevier, vol. 101(C), pages 74-89.
    11. repec:eee:jhouse:v:37:y:2017:i:c:p:67-83 is not listed on IDEAS
    12. Zhang, Congwen & Boyle, Kevin J. & Kuminoff, Nicolai V., 2015. "Partial identification of amenity demand functions," Journal of Environmental Economics and Management, Elsevier, vol. 71(C), pages 180-197.
    13. Eriksen, Michael D. & Kniesner, Thomas J. & Rohlfs, Chris & Sullivan, Ryan, 2016. "Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 54-62.
    14. Amélie Mauroux, 2015. "L’information préventive améliore-t-elle la perception des risques? Impact de l’Information Acquéreur Locataire sur le prix des logements," Working Papers 2015.17, FAERE - French Association of Environmental and Resource Economists.
    15. Rohlf, Alexander & Römer, Daniel & von Graevenitz, Kathrine, 2014. "The Effect of Emission Information on Housing Prices in Germany," Working Papers 0554, University of Heidelberg, Department of Economics.
    16. Stefan Boes & Stephan N�esch, 2009. "New Flight Regimes and Exposure to Aircraft Noise: Identifying Housing Price Effects Using a Ratio-of-Ratios Approach," SOI - Working Papers 0906, Socioeconomic Institute - University of Zurich.
    17. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    18. repec:kap:enreec:v:68:y:2017:i:2:d:10.1007_s10640-016-0020-8 is not listed on IDEAS
    19. Yinger, John, 2015. "Hedonic markets and sorting equilibria: Bid-function envelopes for public services and neighborhood amenities," Journal of Urban Economics, Elsevier, vol. 86(C), pages 9-25.
    20. Boes, Stefan & Nüesch, Stephan & Wüthrich, Kaspar, 2015. "Hedonic valuation of the perceived risks of nuclear power plants," Economics Letters, Elsevier, vol. 133(C), pages 109-111.

    More about this item

    Keywords

    Regression Discontinuity; Differences-in-Differences; Property Value; Program Evaluation; Marginal Willingness to Pay; Capitalization;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D6 - Microeconomics - - Welfare Economics
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General

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