Alternative Methods of Increasing the Precision of Weighted Repeat Sales House Prices Indices

  • Michelle H. Dreiman
  • Anthony Pennington-Cross
Article

Abstract

Weighted repeat sales house price indices have become one of the primary indicators used to identify housing market conditions and to estimate the amount of equity homeowners have gained through house price appreciation. The primary reason for the acceptance of this methodology is that it derives a location specific (typically, census division, state or metropolitan area) average change in house prices from repeated observations of individual house prices. It is this repeat attribute that allows repeat sales price indices to claim that it is a preferable index which does a better job of holding quality constant. The amount of time between the two observed prices for a single property is determined by when the home transacts. Some homes transact twice in a period of months and others do not transact for decades. It is likely that individual house price appreciation rates vary from the mean appreciation rate, as estimated by the index, in a systematic fashion. In general, the longer the time between transactions the more variance there is in individual house price appreciation. This paper extends this concept to include new dimensions. For instance, houses that appreciate faster than the mean, as estimated by the index for that location, may experience a different variation structure than homes that appreciate slower. This process can be viewed as an asymmetric treatment of the variance of house price appreciation around the estimated index. In addition, the variance of expensive and affordable homes may also be different and time varying. This paper finds evidence that adding the dimensions of price tiers and asymmetry to the variance estimate has merit and does affect the estimated index as well as homeowner equity estimates. Homeowner equity estimates are especially sensitive to these added dimensions because they depend on both the revised index and the estimated variances, which are specific to each dimension considered—time between transaction, asymmetry, and price tier.

repeat sales house price(s) price tiers asymmetry 

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References

  1. Abraham, J. M., and W. S. Schauman. (1991). “New Evidence on Home Prices from Freddie Mac Repeat Sales,” AREUEA Journal 19(3), 333–352.Google Scholar
  2. Bailey, M. J., R. F. Muth, and H. O. Nourse. (1963). “A Regression Method for Real Estate Price Index Construction,” Journal of the American Statistical Association 58, 933–942.Google Scholar
  3. Calhoun, C. A. (1991). “Estimating Changes in Housing Values from Repeat Transactions,” presented at the Western Economic Association International Meetings, Seattle, Washington, July 1991.Google Scholar
  4. Calhoun, C. A. (1996). “OFHEO House Price Indexes: HPI Technical Description,” Washington, D.C.: Office of Federal Housing Enterprise Oversight, March 1996.Google Scholar
  5. Calhoun, C. A., S. H. Dreiman, and M. Vandergoot. (1999). “Appraisals, Repeat Mortgage Transactions, and House Price Indices,” Presented at the Western Economic Association Meetings, San Diego, CA, July 1999.Google Scholar
  6. Case, B., and E. Szymanoski. (1995). “Precision in House Price Indices: Findings of a Comparative Study of House Price Index Methods,” Journal of Housing Research 6(3), 483–496.Google Scholar
  7. Case, B., and J. M. Quigley. (1991). “The Dynamics of Real Estate Prices,” The Review of Economics and Statistics 73, 50–58.Google Scholar
  8. Case, K. E., and R. J. Shiller. (1987). “Prices of Single Family Real Estate,” New England Economic Review 45–56.Google Scholar
  9. Case, K. E., and R. J. Shiller. (1989). “The Efficiency of the Market for Single-Family Homes,” American Economic Review 79(1), 125–137.Google Scholar
  10. Clapp, J., and C. Giaccotto. (1998). “Revisions in Repeat Sales Price Indices: Here Today, Gone Tomorrow,” Real Estate Economics 27(1), 79–104.Google Scholar
  11. Crawford, G. W., and E. Rosenblatt. (1995). “Efficient Mortgage Default Option Exercise: Evidence from Loss Severity,” The Journal of Real Estate Research 10(5), 543–555.Google Scholar
  12. Deng, Y. (1977). “Mortgage Termination: An Empirical Hazard Model with Stochastic Term Structure,” Journal of Real Estate Finance and Economics 14(3), 309–329.Google Scholar
  13. Deng, Y., J. Quigley, and R. Van Order. (1994). “Household Income, Equity, and Mortgage Default Risks,” Working Paper, University of California-Berkeley.Google Scholar
  14. Englund, P. (1998). “Improved Price Indexes for Real Estate: Measuring the Course of Swedish Housing Prices,” The Journal of Urban Economics 44, 171–196.Google Scholar
  15. Foster, C., and R. Van Order. (1984). “An Option-Based Model of Mortgage Default,” Housing Finance Review 3(4), 351–377.Google Scholar
  16. Genesove, D., and C. Mayer. (2001). “Loss Aversion and Seller Behavior: Evidence from the Housing Market,” Quarterly Journal of Economics 116(4), 1233–1260.Google Scholar
  17. Geotzmann, W. (1992). “The Accuracy of Real Estate Indices: Repeat Sales Estimators,” Journal of Real Estate Finance and Economics 5, 5–53.Google Scholar
  18. Hill, R. C., J. R. Knight, and C. F. Sirmans. (1997). “Estimating Capital Asset Prices,” Review of Economics and Statistics 79, 226–233.Google Scholar
  19. Pennington-Cross, A. (2003). “Credit History and the Performance of Prime and Nonprime Mortgages,” Presented at the 2003 Allied Social Science Association Conference in the American Real Estate and Urban Economics Association sessions.Google Scholar
  20. Quigley, J. M., and R. Van Order. (1995). “Explicit Test of Contingent Claims Models of Mortgage Default,” Journal of Real Estate Finance and Economics 11, 99–117.Google Scholar
  21. Stephens, W., Y. Li, V. Lekkas, J. Abraham, C. Calhoun, and T. Kimner. (1995). “Conventional Mortgage Home Price Index,” Journal of Housing Research 6(3), 389–418.Google Scholar

Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • Michelle H. Dreiman
    • 1
  • Anthony Pennington-Cross
    • 1
  1. 1.Office of Policy & ResearchOffice of Federal Housing Enterprise OversightNW

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