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Arbitrage in Housing Markets

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  • Glaeser, Edward L.

    (Harvard U)

  • Gyourko, Joseph

    (U of Pennsylvania)

Abstract

Urban economists understand housing prices with a spatial equilibrium approach that assumes people must be indifferent across locations. Since the spatial no arbitrage condition is inherently imprecise, other economists have turned to different no arbitrage conditions, such as the prediction that individuals must be indifferent between owning and renting. This paper argues the predictions from these non-spatial, financial no arbitrage conditions are also quite imprecise. Owned homes are extremely different from rental units and owners are quite different from renters. The unobserved costs of home owning such as maintenance are also quite large. Furthermore, risk aversion and the high volatility of housing prices compromise short-term attempts to arbitrage by delaying home buying. We conclude that housing cannot be understood with a narrowly financial approach that ignores space any more than it can be understood with a narrowly spatial approach that ignores asset markets.

Suggested Citation

  • Glaeser, Edward L. & Gyourko, Joseph, 2008. "Arbitrage in Housing Markets," Working Paper Series rwp08-017, Harvard University, John F. Kennedy School of Government.
  • Handle: RePEc:ecl:harjfk:rwp08-017
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    References listed on IDEAS

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    Cited by:

    1. Christophe André & Luis A. Gil-Alana & Rangan Gupta, 2014. "Testing for persistence in housing price-to-income and price-to-rent ratios in 16 OECD countries," Applied Economics, Taylor & Francis Journals, vol. 46(18), pages 2127-2138, June.
    2. Fernando Ferreira & Joseph Gyourko, 2011. "Anatomy of the Beginning of the Housing Boom: U.S. Neighborhoods and Metropolitan Areas, 1993-2009," NBER Working Papers 17374, National Bureau of Economic Research, Inc.
    3. Banzhaf, H. Spencer & Farooque, Omar, 2013. "Interjurisdictional housing prices and spatial amenities: Which measures of housing prices reflect local public goods?," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 635-648.
    4. Huang, Daisy J. & Leung, Charles K. & Qu, Baozhi, 2015. "Do bank loans and local amenities explain Chinese urban house prices?," China Economic Review, Elsevier, vol. 34(C), pages 19-38.
    5. Philippe Bracke, 2015. "House Prices and Rents: Microevidence from a Matched Data Set in Central London," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 403-431, June.
    6. Lang, Corey, 2015. "The dynamics of house price responsiveness and locational sorting: Evidence from air quality changes," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 71-82.
    7. Bischoff, Oliver, 2012. "Explaining regional variation in equilibrium real estate prices and income," Journal of Housing Economics, Elsevier, vol. 21(1), pages 1-15.
    8. Daisy J. HUANG & Charles Ka Yui LEUNG & Chung-Yi TSE, 2017. "What account for the differences in rent-price ratio and turnover rate? A search-and-matching approach," ISER Discussion Paper 0990, Institute of Social and Economic Research, Osaka University.
    9. Elias Oikarinen, 2008. "Empirical application of the housing-market no-arbitrage condition: problems, solutions and a Finnish case study," Discussion Papers 39, Aboa Centre for Economics.
    10. 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.
    11. Baltagi, Badi H. & Li, Jing, 2015. "Cointegration of matched home purchases and rental price indexes — Evidence from Singapore," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 80-88.
    12. Krzysztof Olszewski & Hanna Augustyniak & Jacek Laszek & Robert Leszczynski & Joanna Waszczuk, 2016. "On the dynamics of the primary housing market and the forecasting of house prices," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41 Bank for International Settlements.
    13. Jinjarak, Yothin & Sheffrin, Steven M., 2011. "Causality, real estate prices, and the current account," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 233-246, June.
    14. McDuff, DeForest, 2011. "Demand substitution across US cities: Observable similarity and home price correlation," Journal of Urban Economics, Elsevier, vol. 70(1), pages 1-14, July.
    15. Alex Chinco & Christopher Mayer, 2016. "Misinformed Speculators and Mispricing in the Housing Market," Review of Financial Studies, Society for Financial Studies, vol. 29(2), pages 486-522.
    16. Bremus, Franziska & Krause, Thomas & Noth, Felix, 2017. "Bank-specific shocks and house price growth in the U.S," IWH Discussion Papers 3/2017, Halle Institute for Economic Research (IWH).
    17. Christophe André, 2010. "A Bird's Eye View of OECD Housing Markets," OECD Economics Department Working Papers 746, OECD Publishing.
    18. Hjalmarsson, Erik & Hjalmarsson, Randi, 2009. "Efficiency in housing markets: Which home buyers know how to discount?," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2150-2163, November.
    19. repec:eee:jhouse:v:38:y:2017:i:c:p:14-24 is not listed on IDEAS
    20. repec:eee:ecolec:v:146:y:2018:i:c:p:706-721 is not listed on IDEAS
    21. Gao, Andre & Lin, Zhenguo & Na, Carrie Fangzhou, 2009. "Housing market dynamics: Evidence of mean reversion and downward rigidity," Journal of Housing Economics, Elsevier, vol. 18(3), pages 256-266, September.
    22. Grainger, Corbett A., 2012. "The distributional effects of pollution regulations: Do renters fully pay for cleaner air?," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 840-852.
    23. Goswami, Gautam & Tan, Sinan, 2012. "Pricing the US residential asset through the rent flow: A cross-sectional study," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2742-2756.
    24. Mark Merante & Keren Mertens Horn, 2016. "Is Home Sharing Driving up Rents? Evidence from Airbnb in Boston," Working Papers 2016_03, University of Massachusetts Boston, Economics Department.

    More about this item

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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