The Journal of Real Estate Finance and Economics

, Volume 33, Issue 3, pp 215–240

The Value of Housing Characteristics: A Meta Analysis

  • G. Stacy Sirmans
  • Lynn MacDonald
  • David A. Macpherson
  • Emily Norman Zietz

DOI: 10.1007/s11146-006-9983-5

Cite this article as:
Sirmans, G.S., MacDonald, L., Macpherson, D.A. et al. J Real Estate Finan Econ (2006) 33: 215. doi:10.1007/s11146-006-9983-5


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.


Selling price Time on the market Meta regression Moderator variables Hedonic models 

Copyright information

© Springer Science + Business Media, LLC 2006

Authors and Affiliations

  • G. Stacy Sirmans
    • 1
  • Lynn MacDonald
    • 2
  • David A. Macpherson
    • 3
  • Emily Norman Zietz
    • 4
  1. 1.Department of Insurance, Real Estate, and Business LawThe Florida State UniversityTallahasseeUSA
  2. 2.Department of EconomicsThe Florida State UniversityTallahasseeUSA
  3. 3.Pepper Institute on AgingFlorida State UniversityTallahasseeUSA
  4. 4.Department of Finance and EconomicsMiddle Tennessee State UniversityMurfreesboroUSA

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