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The Financial Crisis and Diverging House Prices: Evidence from the Copenhagen Metropolitan Area

Author

Listed:
  • Ismir Mulalic

    (Technical University of Denmark)

  • Holger Rasmussen

    (Institute for Urban Economic Research, Denmark)

  • Jan Rouwendal

    (University of Amsterdam; Tinbergen Institute, The Netherlands)

  • Hans Henrik Woltmann

    (Institute for Urban Economic Research, Denmark)

Abstract

This paper investigates the development of house prices in Copenhagen in the period 1994-2013, while paying special attention to the heterogeneous impact of the boom and bust periods along the dimensions of housing type (single vs multifamily housing), geography and quality. To allow for price developments that can differ by quality, we use a recently developed generalization of the conventional Muth model that assumes a constant unit price across the quality spectrum. It allows us to separately consider the development of house prices and quality in Copenhagen neighbourhoods. Moreover, we investigate the validity of the common assumption of a constant unit price and reject it decisively. We use detailed housing transaction data for the greater Copenhagen area. We show that the housing boom of the 2000’s and the bust that followed hit the lowest quality segments significantly harder than the high quality segments of the housing market.

Suggested Citation

  • Ismir Mulalic & Holger Rasmussen & Jan Rouwendal & Hans Henrik Woltmann, 2017. "The Financial Crisis and Diverging House Prices: Evidence from the Copenhagen Metropolitan Area," Tinbergen Institute Discussion Papers 17-084/VIII, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20170084
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    References listed on IDEAS

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    1. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    2. Jeffrey E. Zabel & Katherine A. Kiel, 2000. "Estimating the Demand for Air Quality in Four U.S. Cities," Land Economics, University of Wisconsin Press, vol. 76(2), pages 174-194.
    3. Dennis Epple & Holger Sieg, 1999. "Estimating Equilibrium Models of Local Jurisdictions," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 645-681, August.
    4. Piazzesi, Monika & Schneider, Martin & Tuzel, Selale, 2007. "Housing, consumption and asset pricing," Journal of Financial Economics, Elsevier, vol. 83(3), pages 531-569, March.
    5. Sheppard, Stephen, 1999. "Hedonic analysis of housing markets," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 41, pages 1595-1635, Elsevier.
    6. Mulalic, Ismir & Rouwendal, Jan, 2020. "Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    7. Goodman, John Jr. & Ittner, John B., 1992. "The accuracy of home owners' estimates of house value," Journal of Housing Economics, Elsevier, vol. 2(4), pages 339-357, December.
    8. Patrick Bajari & Matthew E. Kahn, 2005. "Estimating Housing Demand With an Application to Explaining Racial Segregation in Cities," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 20-33, January.
    9. Guerrieri, Veronica & Hartley, Daniel & Hurst, Erik, 2013. "Endogenous gentrification and housing price dynamics," Journal of Public Economics, Elsevier, vol. 100(C), pages 45-60.
    10. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    11. Luis Quintero, 2013. "Estimating Hedonic Equilibrium for Metropolitan Housing Markets with Multiple Household Types," GSIA Working Papers 2013-E34, Carnegie Mellon University, Tepper School of Business.
    12. François Ortalo-Magné & Sven Rady, 2006. "Housing Market Dynamics: On the Contribution of Income Shocks and Credit Constraints ," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(2), pages 459-485.
    13. Kahn Matthew E., 1995. "A Revealed Preference Approach to Ranking City Quality of Life," Journal of Urban Economics, Elsevier, vol. 38(2), pages 221-235, September.
    14. Crocker H. Liu & Adam Nowak & Stuart Rosenthal, 2014. "Bubbles, Post-Crash Dynamics, and the Housing Market," Working Papers 14-18, Department of Economics, West Virginia University.
    15. Marjorie Flavin & Takashi Yamashita, 2002. "Owner-Occupied Housing and the Composition of the Household Portfolio," American Economic Review, American Economic Association, vol. 92(1), pages 345-362, March.
    16. Davis, Morris A. & Van Nieuwerburgh, Stijn, 2015. "Housing, Finance, and the Macroeconomy," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 753-811, Elsevier.
    17. Munch, Jakob Roland & Svarer, Michael, 2002. "Rent control and tenancy duration," Journal of Urban Economics, Elsevier, vol. 52(3), pages 542-560, November.
    18. Rouwendal, Jan, 1998. "On Housing Services," Journal of Housing Economics, Elsevier, vol. 7(3), pages 218-242, September.
    19. Roback, Jennifer, 1982. "Wages, Rents, and the Quality of Life," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1257-1278, December.
    20. Glaeser, Edward L. & Gyourko, Joseph & Saiz, Albert, 2008. "Housing supply and housing bubbles," Journal of Urban Economics, Elsevier, vol. 64(2), pages 198-217, September.
    21. Robert Hill, 2011. "Hedonic Price Indexes for Housing," OECD Statistics Working Papers 2011/1, OECD Publishing.
    22. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
    23. Katherine A. Kiel & Jeffrey E. Zabel, 1999. "The Accuracy of Owner‐Provided House Values: The 1978–1991 American Housing Survey," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(2), pages 263-298, June.
    24. Nicolai V. Kuminoff & Jaren C. Pope, 2013. "The Value of Residential Land and Structures during the Great Housing Boom and Bust," Land Economics, University of Wisconsin Press, vol. 89(1), pages 1-29.
    25. Espen Erlandsen & Jens Lundsgaard & Felix Hüfner, 2006. "The Danish Housing Market: Less Subsidy and more Flexibility," OECD Economics Department Working Papers 513, OECD Publishing.
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    More about this item

    Keywords

    housing price; housing quality; housing price index;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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