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The Value of Housing Characteristics: A Meta Analysis

Author

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  • G. Sirmans

    ()

  • Lynn MacDonald

    ()

  • David Macpherson

    ()

  • Emily Zietz

    ()

Abstract

This paper provides a meta regression analysis of the nine housing characteristics that are appear most often in hedonic pricing models for single-family housing: square footage, lot size, age, bedrooms, bathrooms, garage, swimming pool, fireplace, and air conditioning. Meta regression analysis is useful for comparing the estimated regression coefficients from different studies. The goal in this study is to determine if the estimated coefficients vary by geographical location, time, type of data, and model specification. The results show that the estimated coefficients for some characteristics vary significantly by geographical location. These include square footage, lot size, age, bathrooms, swimming pool, and air conditioning. Controlling for time shows that the effects of these housing characteristics on house price have not changed over time. Controlling for type of data produces differences in coefficients for bathrooms. Controlling for wealth as measured by median household income has no significant impact on the coefficients for the housing characteristics. If the study controlled for square footage, the coefficients for lot size decrease. Controlling for the size of the hedonic model affects the coefficient for square footage. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • G. Sirmans & Lynn MacDonald & David Macpherson & Emily Zietz, 2006. "The Value of Housing Characteristics: A Meta Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 33(3), pages 215-240, November.
  • Handle: RePEc:kap:jrefec:v:33:y:2006:i:3:p:215-240
    DOI: 10.1007/s11146-006-9983-5
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    File URL: http://hdl.handle.net/10.1007/s11146-006-9983-5
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    References listed on IDEAS

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    1. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta-Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, July.
    2. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
    3. Ian J. Bateman & Andrew P. Jones, 2003. "Contrasting Conventional with Multi-Level Modeling Approaches to Meta-Analysis: Expectation Consistency in U.K. Woodland Recreation Values," Land Economics, University of Wisconsin Press, vol. 79(2), pages 235-258.
    4. Laroche, P., 2000. "What do Unions do to Productivity? A Meta-Analysis," Papers 2000-5, Groupe de recherche en économie financière et en gestion des entreprises, Universite Nancy 2.
    5. T.D. Stanley & Stephen B. Jarrell, 1998. "Gender Wage Discrimination Bias? A Meta-Regression Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 947-973.
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    Citations

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    Cited by:

    1. Stephen Conroy & Jennifer Milosch, 2011. "An Estimation of the Coastal Premium for Residential Housing Prices in San Diego County," The Journal of Real Estate Finance and Economics, Springer, vol. 42(2), pages 211-228, February.
    2. Coulson, N. Edward & McMillen, Daniel P., 2008. "Estimating time, age and vintage effects in housing prices," Journal of Housing Economics, Elsevier, vol. 17(2), pages 138-151, June.
    3. William M. Doerner & Andrew V. Leventis, 2013. "Distressed Sales and the FHFA House Price Index," FHFA Staff Working Papers 13-01, Federal Housing Finance Agency.
    4. Jorge Ponce & Magdalena Tubio, 2013. "Precios de inmuebles. Aproximaciones metodológicas y aplicación empírica," Documentos de trabajo 2013005, Banco Central del Uruguay.
    5. Arthur Grimes & Sean Hyland, 2015. "A New Cross-Country Measure of Material Wellbeing and Inequality: Methodology, Construction and Results," Working Papers 15_09, Motu Economic and Public Policy Research.
    6. Bettina Aten & Eric Figueroa & Troy Martin, 2011. "Notes on Estimating the Multi-Year Regional Price Parities by 16 Expenditure Categories: 2005-2009," BEA Working Papers 0071, Bureau of Economic Analysis.
    7. Alicia N. Rambaldi & Cameron S. Fletcher & Kerry Collins & Ryan R.J. McAllister, 2013. "Housing Shadow Prices in an Inundation-prone Suburb," Urban Studies, Urban Studies Journal Limited, vol. 50(9), pages 1889-1905, July.
    8. Iqbal A. Syed & Jan De Haan, 2017. "Age, Time, Vintage, And Price Indexes: Measuring The Depreciation Pattern Of Houses," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 580-600, January.
    9. repec:mup:actaun:actaun_2018066040991 is not listed on IDEAS
    10. Jay Mittal, 2017. "Valuing Visual Accessibility of Scenic Landscapes in a Single Family Housing Market: A Spatial Hedonic Approach," ERES eres2017_1, European Real Estate Society (ERES).
    11. repec:gam:jsusta:v:10:y:2018:i:1:p:197-:d:127058 is not listed on IDEAS
    12. Matthew J Osborne & Nathan H. Miller, 2011. "Competition among Spatially Differentiated Firms: An Estimator with an Application to Cement," BEA Working Papers 0072, Bureau of Economic Analysis.
    13. Yadavalli, Anita P. & Florax, Raymond J.G.M., 2013. "The Effect of School Quality on House Prices: A Meta-Regression Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151291, Agricultural and Applied Economics Association.
    14. Dean Gatzlaff & Peng Liu, 2013. "List Price Information in the Negotiation of Commercial Real Estate Transactions: Is Silence Golden?," The Journal of Real Estate Finance and Economics, Springer, vol. 47(4), pages 760-786, November.
    15. Tao Chen & John P. Harding, 2016. "Changing Tastes: Estimating Changing Attribute Prices in Hedonic and Repeat Sales Models," The Journal of Real Estate Finance and Economics, Springer, vol. 52(2), pages 141-175, February.
    16. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, Elsevier.
    17. Koji Karato & Oleksandr Movshuk & Chihiro Shimizu, 2015. "Semiparametric Model of Hedonic Housing Prices in Japan," Asian Economic Journal, East Asian Economic Association, vol. 29(4), pages 325-345, December.
    18. repec:fgv:eaespw:01 is not listed on IDEAS
    19. Martin Heintzelman & Jason Altieri, 2013. "Historic Preservation: Preserving Value?," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 543-563, April.
    20. Ramya Aroul & J. Hansz, 2014. "The Valuation Impact on Distressed Residential Transactions: Anatomy of a Housing Price Bubble," The Journal of Real Estate Finance and Economics, Springer, vol. 49(2), pages 277-302, August.
    21. repec:jre:issued:v:38:n:4:2016:p:473_504 is not listed on IDEAS
    22. Martin D. Heintzelman, 2010. "Measuring the Property-Value Effects of Local Land Use and Preservation Referenda," Land Economics, University of Wisconsin Press, vol. 86(1), pages 22-47.
    23. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 16/213, International Monetary Fund.
    24. Kopits, Elizabeth & McConnell, Virginia & Miles, Daniel, 2009. "Lot Size, Zoning, and Household Preferences: Impediments to Smart Growth?," Discussion Papers dp-09-15, Resources For the Future.

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