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Semiparametric Model of Hedonic Housing Prices in Japan

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  • Koji Karato
  • Oleksandr Movshuk
  • Chihiro Shimizu

Abstract

type="main"> We propose a semiparametric hedonic model of housing prices with nonlinearity in age and cohort effects. The model avoids the simultaneity problem among age, cohort and year effects, which is a common problem in linear hedonic models. Applying the model to housing prices in Tokyo between 1990 and 2008 revealed significant nonlinearities in both the age and cohort effects, and significant interactions between these effects, with the shape of the age effect differing across housing cohorts. Estimates of the year effect indicated a declining trend in prices that was more pronounced compared with those of conventional linear hedonic models.

Suggested Citation

  • Koji Karato & Oleksandr Movshuk & Chihiro Shimizu, 2015. "Semiparametric Model of Hedonic Housing Prices in Japan," Asian Economic Journal, East Asian Economic Association, vol. 29(4), pages 325-345, December.
    • Handle: RePEc:bla:asiaec:v:29:y:2015:i:4:p:325-345
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    File URL: http://hdl.handle.net/10.1111/asej.12077
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    References listed on IDEAS

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    7. Harding, John P. & Rosenthal, Stuart S. & Sirmans, C.F., 2007. "Depreciation of housing capital, maintenance, and house price inflation: Estimates from a repeat sales model," Journal of Urban Economics, Elsevier, vol. 61(2), pages 193-217, March.
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    Cited by:

    1. Suzuki, Masatomo & Shimizu, Chihiro, 2024. "Obsolete housing equipment, weak renovation, and rapid depreciation of Japanese condominiums," Journal of the Japanese and International Economies, Elsevier, vol. 71(C).
    2. Rajapaksa, Darshana & Zhu, Min & Lee, Boon & Hoang, Viet-Ngu & Wilson, Clevo & Managi, Shunsuke, 2017. "The impact of flood dynamics on property values," Land Use Policy, Elsevier, vol. 69(C), pages 317-325.
    3. Wang, Xiaodan & Li, Keyang & Wu, Jing, 2020. "House price index based on online listing information: The case of China," Journal of Housing Economics, Elsevier, vol. 50(C).

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