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Arrested Development: Theory and Evidence of Supply-Side Speculation in the Housing Market

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  • Charles G. Nathanson
  • Eric Zwick

Abstract

This paper studies the role of disagreement in amplifying housing cycles. Speculation is easier in the land market than in the housing market due to frictions that make renting less efficient than owner-occupancy. As a result, undeveloped land both facilitates construction and intensifies the speculation that causes booms and busts in house prices. This observation reverses the standard intuition that cities where construction is easier experience smaller house price booms. It also explains why the largest house price booms in the United States between 2000 and 2006 occurred in areas with elastic housing supply.

Suggested Citation

  • Charles G. Nathanson & Eric Zwick, 2017. "Arrested Development: Theory and Evidence of Supply-Side Speculation in the Housing Market," NBER Working Papers 23030, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23030
    Note: AP CF EFG ME
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    References listed on IDEAS

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    1. Karl E. Case & Robert J. Shiller & Anne K. Thompson, 2012. "What Have They Been Thinking? Homebuyer Behavior in Hot and Cold Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 265-315.
    2. Harrison Hong & José Scheinkman & Wei Xiong, 2006. "Asset Float and Speculative Bubbles," Journal of Finance, American Finance Association, vol. 61(3), pages 1073-1117, June.
    3. Glaeser, Edward L. & Kahn, Matthew E., 2004. "Sprawl and urban growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 56, pages 2481-2527, Elsevier.
    4. Guerrieri, Veronica & Hartley, Daniel & Hurst, Erik, 2013. "Endogenous gentrification and housing price dynamics," Journal of Public Economics, Elsevier, vol. 100(C), pages 45-60.
    5. Stefano Giglio & Matteo Maggiori & Johannes Stroebel, 2016. "No‐Bubble Condition: Model‐Free Tests in Housing Markets," Econometrica, Econometric Society, vol. 84, pages 1047-1091, May.
    6. DeFusco, Anthony A. & Nathanson, Charles G. & Zwick, Eric, 2022. "Speculative dynamics of prices and volume," Journal of Financial Economics, Elsevier, vol. 146(1), pages 205-229.
    7. Christopher L. Foote & Kristopher Gerardi & Paul S. Willen, 2012. "Why did so many people make so many ex post bad decisions? the causes of the foreclosure crisis," FRB Atlanta Working Paper 2012-07, Federal Reserve Bank of Atlanta.
    8. Hanushek, Eric A & Quigley, John M, 1980. "What Is the Price Elasticity of Housing Demand?," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 449-454, August.
    9. Patrick Bayer & Christopher Geissler & Kyle Mangum & James W Roberts & Andrew Karolyi, 2020. "Speculators and Middlemen: The Strategy and Performance of Investors in the Housing Market," The Review of Financial Studies, Society for Financial Studies, vol. 33(11), pages 5212-5247.
    10. Markus K. Brunnermeier & Alp Simsek & Wei Xiong, 2014. "A Welfare Criterion For Models With Distorted Beliefs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1753-1797.
    11. Edward L. Glaeser, 2013. "A Nation of Gamblers: Real Estate Speculation and American History," American Economic Review, American Economic Association, vol. 103(3), pages 1-42, May.
    12. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1449-1496.
    13. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    14. Favara, Giovanni & Song, Zheng, 2014. "House price dynamics with dispersed information," Journal of Economic Theory, Elsevier, vol. 149(C), pages 350-382.
    15. Grenadier, Steven R, 1996. "The Strategic Exercise of Options: Development Cascades and Overbuilding in Real Estate Markets," Journal of Finance, American Finance Association, vol. 51(5), pages 1653-1679, December.
    16. Edward L. Glaeser, 2013. "A Nation Of Gamblers: Real Estate Speculation And American History," NBER Working Papers 18825, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Jung Sakong, 2021. "Effect of Ownership Composition on Property Prices and Rents: Evidence from Chinese Investment Boom in US Housing Markets," Working Paper Series WP-2021-12, Federal Reserve Bank of Chicago.
    2. Zhenyu Gao & Michael Sockin & Wei Xiong, 2019. "Economic Consequences of Housing Speculation," NBER Working Papers 26457, National Bureau of Economic Research, Inc.
    3. Glaeser, Edward L. & Nathanson, Charles G., 2017. "An extrapolative model of house price dynamics," Journal of Financial Economics, Elsevier, vol. 126(1), pages 147-170.
    4. DeFusco, Anthony A. & Nathanson, Charles G. & Zwick, Eric, 2022. "Speculative dynamics of prices and volume," Journal of Financial Economics, Elsevier, vol. 146(1), pages 205-229.
    5. Greg Kaplan & Kurt Mitman & Giovanni L. Violante, 2020. "The Housing Boom and Bust: Model Meets Evidence," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3285-3345.
    6. Weicheng Lian, 2019. "Fundamental and Speculative Demands for Housing," IMF Working Papers 2019/063, International Monetary Fund.
    7. Lauren Lambie‐Hanson & Wenli Li & Michael Slonkosky, 2022. "Real estate investors and the U.S. housing recovery," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(6), pages 1425-1461, November.
    8. Eileen van Straelen, 2021. "Desperate House Sellers: Distress Among Developers," Finance and Economics Discussion Series 2021-065, Board of Governors of the Federal Reserve System (U.S.).
    9. Zhenxi Chen & Cuntong Wang, 2020. "Speculative trading in Chinese housing market: a panel regression method," Applied Economics, Taylor & Francis Journals, vol. 52(38), pages 4186-4195, July.

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    More about this item

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • 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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