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Hedonic Regression Models for Tokyo Condominium Sales

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  • Diewert, W. Erwin
  • Shimizu, Chihiro

Abstract

The paper fits a hedonic regression model to the sales of condominium units in Tokyo over the period 2000-2015. The problem is complicated by the need to decompose the selling price of a unit into a component that can be attributed to the structure area of the unit and another component that can be attributed to the unit's share of land value. There is very little information on the value of condominium land and so this paper develops a methodology for reducing this knowledge gap. The paper extends the builder's model which was developed in Eurostat (2013)[11]. Characteristics which prove to be important in explaining condominium prices are: the floor space area of the unit, the total land area of the building, the number of units in the building, the total number of stories in the building, the height of the sold unit, the age of the structure and the amount of excess land. The paper also derives an estimate for the annual geometric structure depreciation rate for condominiums in Tokyo.

Suggested Citation

  • Diewert, W. Erwin & Shimizu, Chihiro, 2016. "Hedonic Regression Models for Tokyo Condominium Sales," HIT-REFINED Working Paper Series 32, Institute of Economic Research, Hitotsubashi University.
  • Handle: RePEc:hit:remfce:32
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    References listed on IDEAS

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    1. W. Erwin DIEWERT & Jan de HAAN & Rens HENDRIKS, 2011. "The Decomposition of a House Price Index into Land and Structures Components: A Hedonic Regression Approach," The Valuation Journal, The National Association of Authorized Romanian Valuers, vol. 6(1), pages 58-105.
    2. Diewert, Erwin, 2007. "The Paris OECD-IMF Workshop on Real Estate Price Indexes: Conclusions and Future Directions," Economics working papers diewert-07-01-03-08-12-12, Vancouver School of Economics, revised 31 Jan 2007.
    3. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, Oxford University Press, vol. 125(3), pages 1253-1296.
    4. Diewert, Erwin & Shimizu, Chihiro, 2015. "Residential Property Price Indices For Tokyo," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1659-1714, December.
    5. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
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    7. Eurostat, 2013. "Handbook on Residential Property Prices Indices," World Bank Publications - Books, The World Bank Group, number 17280, December.
    8. W. Erwin Diewert & Jan de Haan & Rens Hendriks, 2015. "Hedonic Regressions and the Decomposition of a House Price Index into Land and Structure Components," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 106-126, February.
    9. Davis, Morris A. & Palumbo, Michael G., 2008. "The price of residential land in large US cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 352-384, January.
    10. 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.
    11. Clapp, John M., 1980. "The elasticity of substitution for land: The effects of measurement errors," Journal of Urban Economics, Elsevier, vol. 8(2), pages 255-263, September.
    12. 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.
    13. McMillen, Daniel P., 2003. "The return of centralization to Chicago: using repeat sales to identify changes in house price distance gradients," Regional Science and Urban Economics, Elsevier, vol. 33(3), pages 287-304, May.
    14. Kok, Nils & Monkkonen, Paavo & Quigley, John M., 2014. "Land use regulations and the value of land and housing: An intra-metropolitan analysis," Journal of Urban Economics, Elsevier, vol. 81(C), pages 136-148.
    15. Schwann, Gregory M, 1998. "A Real Estate Price Index for Thin Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 16(3), pages 269-287, May.
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    17. Shimizu Chihiro & Nishimura Kiyohiko G. & Watanabe Tsutomu, 2010. "Housing Prices in Tokyo: A Comparison of Hedonic and Repeat Sales Measures," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(6), pages 792-813, December.
    18. Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2012. "Private residential price indices in Singapore: A matching approach," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 485-494.
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    Cited by:

    1. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    2. Sadayuki, Taisuke, 2018. "Measuring the spatial effect of multiple sites: An application to housing rent and public transportation in Tokyo, Japan," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 155-173.
    3. Diewert, Erwin, 2019. "Quality Adjustment and Hedonics: A Unified Approach," Microeconomics.ca working papers erwin_diewert-2019-2, Vancouver School of Economics, revised 14 Mar 2019.
    4. Erwin Diewert & Chihiro Shimizu, 2020. "Alternative Land‐Price Indexes for Commercial Properties in Tokyo," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 784-824, December.
    5. Hill, Robert J. & Trojanek, Radoslaw, 2022. "An evaluation of competing methods for constructing house price indexes: The case of Warsaw," Land Use Policy, Elsevier, vol. 120(C).
    6. Hilber, Christian A. L. & Mense, Andreas, 2021. "Why have house prices risen so much more than rents in superstar cities?," LSE Research Online Documents on Economics 112668, London School of Economics and Political Science, LSE Library.
    7. Burnett-Isaacs,, Kate & Diewert, Erwin & Huang, Ning, 2017. "Alternative Approaches for Resale Housing Price Indexes," Microeconomics.ca working papers erwin_diewert-2017-6, Vancouver School of Economics, revised 08 May 2017.
    8. W. Erwin Diewert & Kiyohiko G. Nishimura & Chihiro Shimizu & Tsutomu Watanabe, 2020. "Measuring the Services of Durables and Owner Occupied Housing," Advances in Japanese Business and Economics, in: Property Price Index, chapter 0, pages 223-298, Springer.
    9. W. Erwin Diewert & Kiyohiko G. Nishimura & Chihiro Shimizu & Tsutomu Watanabe, 2020. "The System of National Accounts and Alternative Approaches to the Construction of Commercial Property Price Indexes," Advances in Japanese Business and Economics, in: Property Price Index, chapter 0, pages 181-219, Springer.
    10. Yi Huang & Geoffrey Hewings, 2021. "More Reliable Land Price Index: Is There a Slope Effect?," Land, MDPI, vol. 10(3), pages 1-24, March.
    11. Burnett-Isaacs Kate & Huang Ning & Diewert W. Erwin, 2020. "Developing Land and Structure Price Indices for Ottawa Condominium Apartments," Journal of Official Statistics, Sciendo, vol. 36(4), pages 763-802, December.
    12. Chihiro Shimizu & Erwin Diewert, 2023. "Scanner Data, Product Churn and Quality Adjustment," Working Papers e185, Tokyo Center for Economic Research.
    13. Daniel McMillen & Chihiro Shimizu, 2021. "Decompositions of house price distributions over time: The rise and fall of Tokyo house prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1290-1314, December.

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    More about this item

    Keywords

    Condominium property price indexes; System of National Accounts; Balance Sheets; methods of depreciation; land and structure price indexes; hedonic regressions;
    All these keywords.

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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