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Hedonic versus repeat-sales housing price indexes for measuring the recent boom-bust cycle

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  • Dorsey, Robert E.
  • Hu, Haixin
  • Mayer, Walter J.
  • Wang, Hui-chen

Abstract

Standard housing price indexes rely on strong constant-quality assumptions and often conflict. Hedonic price indexes overcome limitations of median price and repeat-sales indexes but their implementation has been limited by a lack of data. This paper constructs hedonic indexes at the zip code level for the Los Angeles and San Diego metropolitan areas using considerably more detailed data than previously available. Our sample was collected by a mortgage technology firm, and consists of almost 1.1 million transactions during the boom-bust cycle since 2000. Our hedonic regressions include new spatial models that capture correlations within submarkets (using zip codes as proxies) and allow temporal asymmetry. Compared to a repeat-sales price index constructed from the same data, the hedonic indexes indicate that the market peaked about 11Â months later in Los Angeles and about 2Â months earlier in San Diego, show less pre-peak appreciation and post-peak depreciation in low-tier housing and more pre-peak appreciation in high-tier housing. We also find that the intensity of the cycle varies greatly across zip codes and price-tiers in a pattern consistent with foreclosure activity.

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  • Dorsey, Robert E. & Hu, Haixin & Mayer, Walter J. & Wang, Hui-chen, 2010. "Hedonic versus repeat-sales housing price indexes for measuring the recent boom-bust cycle," Journal of Housing Economics, Elsevier, vol. 19(2), pages 75-93, June.
  • Handle: RePEc:eee:jhouse:v:19:y:2010:i:2:p:75-93
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    2. Esmeralda A. Ramalho & Joaquim J.S. Ramalho, 2014. "Convenient links for the estimation of hedonic price indexes: the case of unique, infrequently traded assets," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(2), pages 91-117, May.
    3. Jeremy G. Weber & J. Wesley Burnett & Irene M. Xiarchos, 2016. "Broadening Benefits from Natural Resource Extraction: Housing Values and Taxation of Natural Gas Wells as Property," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(3), pages 587-614, June.
    4. Jing Wu & Yongheng Deng & Hongyu Liu, 2014. "House Price Index Construction in the Nascent Housing Market: The Case of China," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 522-545, April.
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    7. Shimizu, Chihiro & Nishimura, Kiyohiko G. & Watanabe, Tsutomu, 2016. "House prices at different stages of the buying/selling process," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 37-53.
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    10. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
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    12. Olivier Schöni, 2014. "Asymptotic Properties of Imputed Hedonic Price Indices," SERC Discussion Papers 0166, Spatial Economics Research Centre, LSE.
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    15. Damian S. Damianov & Diego Escobari, 2016. "Long-run Equilibrium Shift and Short-run Dynamics of U.S. Home Price Tiers During the Housing Bubble," The Journal of Real Estate Finance and Economics, Springer, vol. 53(1), pages 1-28, July.

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