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The Geography of Housing Market Liquidity During the Great Recession

Author

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  • Matthew Famiglietti
  • Carlos Garriga
  • Aaron Hedlund

Abstract

Using detailed micro data at the ZIP code level, this article explores the regional variation in housing market performance to account for the severity of the Great Recession. The granularity of the data, relative to a more traditional analysis at the county level, is useful for evaluating the performance of the housing market because credit and local macroeconomic variables are tied to housing valuations. The deterioration of the ability to transact (buy and sell) housing units, often referred to as housing liquidity, is an important link that connects housing outcomes with real and credit variables. The data indicate that the timing, severity, and duration of the recession varied across regions and was closely connected with the behavior of the housing market. The deterioration in housing liquidity was uniform across all house price tiers (i.e., bottom, middle, and upper end). Furthermore, there was correlation across areas between the magnitude of the declines in housing liquidity and the severity of the deterioration in house prices and macroeconomic conditions.

Suggested Citation

  • Matthew Famiglietti & Carlos Garriga & Aaron Hedlund, 2020. "The Geography of Housing Market Liquidity During the Great Recession," Review, Federal Reserve Bank of St. Louis, vol. 102(1), pages 51-77.
  • Handle: RePEc:fip:fedlrv:87424
    DOI: 10.20955/r.102.51-77
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    References listed on IDEAS

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    1. Caselli, Francesco, 2005. "Accounting for Cross-Country Income Differences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 9, pages 679-741, Elsevier.
    2. Dora L. Costa & Matthew E. Kahn, 2004. "Changes in the Value of Life, 1940--1980," Journal of Risk and Uncertainty, Springer, vol. 29(2), pages 159-180, September.
    3. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," American Economic Review, American Economic Association, vol. 94(2), pages 454-460, May.
    4. Li-Shiun Chen & Ping Wang & Yao Yao, 2017. "Smoking, Health Capital, and Longevity: Evaluation of Personalized Cessation Treatments in a Lifecycle Model with Heterogeneous Agents," NBER Working Papers 23820, National Bureau of Economic Research, Inc.
    5. Viscusi, W Kip & Aldy, Joseph E, 2003. "The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," Journal of Risk and Uncertainty, Springer, vol. 27(1), pages 5-76, August.
    6. Caselli, Francesco, 2005. "Accounting for cross-country income differences," LSE Research Online Documents on Economics 5266, London School of Economics and Political Science, LSE Library.
    7. Ehrlich, Isaac & Chuma, Hiroyuki, 1990. "A Model of the Demand for Longevity and the Value of Life Extension," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 761-782, August.
    8. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," American Economic Review, American Economic Association, vol. 94(2), pages 454-460, May.
    9. Yin-Chi Wang & Ping Wang, 2013. "Barriers to Health and the Poverty Trap," NBER Working Papers 19263, National Bureau of Economic Research, Inc.
    10. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    11. Philippe Aghion & Steven Durlauf (ed.), 2005. "Handbook of Economic Growth," Handbook of Economic Growth, Elsevier, edition 1, volume 1, number 1.
    12. Seema Jayachandran & Adriana Lleras-Muney, 2009. "Life Expectancy and Human Capital Investments: Evidence from Maternal Mortality Declines," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 349-397.
    13. Caselli, Francesco, 2005. "Accounting for cross-country income differences," LSE Research Online Documents on Economics 3567, London School of Economics and Political Science, LSE Library.
    14. Orley Ashenfelter & Michael Greenstone, 2004. "Estimating the Value of a Statistical Life: The Importance of Omitted Variables and Publication Bias," Working Papers 858, Princeton University, Department of Economics, Industrial Relations Section..
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    Cited by:

    1. Tran, My & Gannon, Brenda & Rose, Christiern, 2023. "The effect of housing wealth on older adults’ health care utilization: Evidence from fluctuations in the U.S. housing market," Journal of Health Economics, Elsevier, vol. 88(C).

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    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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