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The Value of Housing Characteristics: A Meta Analysis

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Author Info
G. Sirmans ()
Lynn MacDonald ()
David Macpherson ()
Emily Zietz ()

Additional information is available for the following registered author(s):

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

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File URL: http://hdl.handle.net/10.1007/s11146-006-9983-5
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Publisher Info
Article provided by Springer in its journal The Journal of Real Estate Finance and Economics.

Volume (Year): 33 (2006)
Issue (Month): 3 (November)
Pages: 215-240
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Handle: RePEc:kap:jrefec:v:33:y:2006:i:3:p:215-240

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Web page: http://www.springerlink.com/link.asp?id=102945

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Related research
Keywords: Selling price; Time on the market; Meta regression; Moderator variables; Hedonic models;

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, Blackwell Publishing, vol. 19(3), pages 299-308, 07. [Downloadable!] (restricted)
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  2. Chris Doucouliagos, 1995. "Worker participation and productivity in labor-managed and participatory capitalist firms: A meta-analysis," Industrial and Labor Relations Review, ILR Review, ILR School, Cornell University, vol. 49(1), pages 58-77, October.
  3. Stephen B. Jarrell & T. D. Stanley, 1990. "A meta-analysis of the union-nonunion wage gap," Industrial and Labor Relations Review, ILR Review, ILR School, Cornell University, vol. 44(1), pages 54-67, October.
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