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Multiple Transactions Model: A Panel Data Approach to Estimate Housing Market Indices

Author

Listed:
  • Andre H. Gao

    (Fannie Mae 3900 Wisconsin Avenue, N.W. Washington, DC 20016)

  • George H. K. Wang

    (George Mason University, Fairfax, Virginia 22030)

Abstract

In this paper, a multiple transactions model with a panel data approach is used to estimate housing market indices. The multiple transactions model keeps the same features of the repeat transactions index model (i.e., tracking the price appreciation of same houses). However, the multiple transactions model overcomes the shortcomings of the repeat transactions model by avoiding the correlated error terms. The indicative empirical analysis on a small sample of actual house transaction data demonstrates that the proposed multiple transactions model is superior to the repeat transactions model in terms of index variance, robustness of estimate, index revision volatility, and out-of-sample prediction of individual house prices.

Suggested Citation

  • Andre H. Gao & George H. K. Wang, 2007. "Multiple Transactions Model: A Panel Data Approach to Estimate Housing Market Indices," Journal of Real Estate Research, American Real Estate Society, vol. 29(3), pages 241-266.
    • Handle: RePEc:jre:issued:v:29:n:3:2007:p:241-266
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    References listed on IDEAS

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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