IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/10041.html
   My bibliography  Save this paper

The Ins and Arounds in the U.S. Housing Market

Author

Listed:
  • Bachmann, Rüdiger
  • Cooper, Daniel

Abstract

In the U.S., 15 percent of households move in a given year. This result is based on data from the Panel Study of Income Dynamics on gross flows within and between the two segments of the housing market - renter-occupied properties and owner-occupied properties. The gross flows between these two segments are four times larger than the net flows. From a secular perspective, housing turnover exhibits a hump-shaped pattern between 1970 and 2000, which this paper attributes to changes in the age composition of the U.S. population. At higher frequencies, housing turnover is procyclical and tends to lead the business cycle and real house prices. By taking a two-segment view of the U.S. housing market and by documenting carefully the empirics of turnover within and between these segments, the paper provides important moments for and gives empirical guidance to the design, calibration, and evaluation of micro-founded, dynamic, and quantitative models of the U.S. housing market.

Suggested Citation

  • Bachmann, Rüdiger & Cooper, Daniel, 2014. "The Ins and Arounds in the U.S. Housing Market," CEPR Discussion Papers 10041, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:10041
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP10041
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Raven E. Saks & Abigail Wozniak, 2011. "Labor Reallocation over the Business Cycle: New Evidence from Internal Migration," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 697-739.
    2. Greg Kaplan & Sam Schulhofer‐Wohl, 2017. "Understanding The Long‐Run Decline In Interstate Migration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(1), pages 57-94, February.
    3. Gan, Li & Wang, Pengfei & Zhang, Qinghua, 2018. "Market thickness and the impact of unemployment on housing market outcomes," Journal of Monetary Economics, Elsevier, vol. 98(C), pages 27-49.
    4. Nir Jaimovich & Henry E. Siu, 2009. "The Young, the Old, and the Restless: Demographics and Business Cycle Volatility," American Economic Review, American Economic Association, vol. 99(3), pages 804-826, June.
    5. Andrew Caplin & John Leahy, 2011. "Trading Frictions and House Price Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 283-303, October.
    6. Elliot Anenberg & Patrick Bayer, 2013. "Endogenous Sources of Volatility in Housing Markets: The Joint Buyer-Seller Problem," NBER Working Papers 18980, National Bureau of Economic Research, Inc.
    7. Uhlig, H.F.H.V.S. & Ravn, M., 1997. "On Adjusting the H-P Filter for the Frequency of Observations," Discussion Paper 1997-50, Tilburg University, Center for Economic Research.
    8. Gary Solon & Ryan Michaels & Michael W. L. Elsby, 2009. "The Ins and Outs of Cyclical Unemployment," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 84-110, January.
    9. Rüdiger Bachmann & Tim O. Berg & Eric R. Sims, 2015. "Inflation Expectations and Readiness to Spend: Cross-Sectional Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 1-35, February.
    10. 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.
    11. Raven Molloy & Christopher L. Smith & Abigail Wozniak, 2013. "Declining Migration wihin the US: The Role of the Labor Market," Working Papers 13-53, Center for Economic Studies, U.S. Census Bureau.
    12. Antonia Díaz & Belén Jerez, 2013. "House Prices, Sales, And Time On The Market: A Search‐Theoretic Framework," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54, pages 837-872, August.
    13. Wheaton, William C, 1990. "Vacancy, Search, and Prices in a Housing Market Matching Model," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1270-1292, December.
    14. Hernan Winkler, 2011. "The Effect of Homeownership on Geographic Mobility and Labor Market Outcomes," 2011 Meeting Papers 196, Society for Economic Dynamics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miroslav Gabrovski & Victor Ortego-Marti, 2018. "Housing Market Dynamics with Search Frictions," Working Papers 201804, University of California at Riverside, Department of Economics.
    2. Gabrovski, Miroslav & Ortego-Marti, Victor, 2019. "The cyclical behavior of the Beveridge Curve in the housing market," Journal of Economic Theory, Elsevier, vol. 181(C), pages 361-381.
    3. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2019. "The Total Risk Premium Puzzle?," Working Paper Series 2019-10, Federal Reserve Bank of San Francisco.
    4. Alisdair McKay & Johannes F. Wieland, 2021. "Lumpy Durable Consumption Demand and the Limited Ammunition of Monetary Policy," Econometrica, Econometric Society, vol. 89(6), pages 2717-2749, November.
    5. 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.
    6. Hannah Leal & Stephanie Parsons & Graham White & Andrew Zurawski, 2017. "Housing Market Turnover," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 21-30, March.
    7. Gabrovski, Miroslav & Ortego-Marti, Victor, 2021. "Search and credit frictions in the housing market," European Economic Review, Elsevier, vol. 134(C).
    8. Allen Head & Huw Lloyd‐Ellis & Derek Stacey, 2023. "Heterogeneity, Frictional Assignment, And Home‐Ownership," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1265-1308, August.
    9. Miroslav Gabrovski & Victor Ortego-Marti, 2025. "Home Construction Financing and Search Frictions in the Housing Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 55, January.
    10. Eunseong Ma & Sarah Zubairy, 2021. "Homeownership And Housing Transitions: Explaining The Demographic Composition," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 599-638, May.
    11. Dias, Daniel A. & Duarte, João B., 2015. "Monetary Policy and Homeownership: Empirical Evidence, Theory, and Policy Implications," MPRA Paper 112252, University Library of Munich, Germany, revised 05 Mar 2021.
    12. Miroslav Gabrovski & Victor Ortego-Marti, 2021. "Efficiency in the Housing Market with Search Frictions," Working Papers 202108, University of California at Riverside, Department of Economics.
    13. Yannis M. Ioannides & Jeffrey E. Zabel, 2018. "Housing and Labor Market Vacancies and Beveridge Curves: Theoretical Framework and Illustrative Statistics," Discussion Papers Series, Department of Economics, Tufts University 0828, Department of Economics, Tufts University.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Essi Eerola & Niku Maattanen, 2018. "Borrowing constraints and housing market liquidity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 27, pages 184-204, January.
    2. Alina Arefeva, 2016. "How Auctions Amplify House-Price Fluctuations," 2016 Meeting Papers 714, Society for Economic Dynamics.
    3. L. Rachel Ngai & Kevin D. Sheedy, 2024. "The Ins And Outs Of Selling Houses: Understanding Housing‐Market Volatility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(3), pages 1415-1440, August.
    4. Plamen Nenov & Espen Moen, 2014. "Buying First or Selling First? Buyer-Seller Decisions and Housing Market Volatility," 2014 Meeting Papers 471, Society for Economic Dynamics.
    5. Gabrovski, Miroslav & Ortego-Marti, Victor, 2019. "The cyclical behavior of the Beveridge Curve in the housing market," Journal of Economic Theory, Elsevier, vol. 181(C), pages 361-381.
    6. Kashiwagi, Masanori, 2014. "A search-theoretic model of the rental and homeownership markets," Journal of Housing Economics, Elsevier, vol. 26(C), pages 33-47.
    7. Elliot Anenberg & Patrick Bayer, 2020. "Endogenous Sources Of Volatility In Housing Markets: The Joint Buyer–Seller Problem," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1195-1228, August.
    8. Miroslav Gabrovski & Victor Ortego-Marti, 2018. "Housing Market Dynamics with Search Frictions," Working Papers 201804, University of California at Riverside, Department of Economics.
    9. Espen R Moen & Plamen T Nenov & Florian Sniekers, 2021. "Buying First or Selling First in Housing Markets," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 38-81.
    10. Martijn I. Dröes & Marc K. Francke, 2018. "What Causes the Positive Price-Turnover Correlation in European Housing Markets?," The Journal of Real Estate Finance and Economics, Springer, vol. 57(4), pages 618-646, November.
    11. Gabrovski, Miroslav & Ortego-Marti, Victor, 2021. "Search and credit frictions in the housing market," European Economic Review, Elsevier, vol. 134(C).
    12. 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.
    13. Eric Smith, 2020. "High and Low Activity Spells in Housing Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 1-28, April.
    14. Genesove, David & Hansen, James, 2016. "The Role of Auctions and Negotiation in Housing Prices," CEPR Discussion Papers 11392, C.E.P.R. Discussion Papers.
    15. Allen Head & Huw Lloyd-Ellis & Hongfei Sun, 2016. "Search, Liquidity, and the Dynamics of House Prices and Construction: Corrigendum," American Economic Review, American Economic Association, vol. 106(4), pages 1214-1219, April.
    16. Han, Lu & Strange, William C., 2015. "The Microstructure of Housing Markets," 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 813-886, Elsevier.
    17. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    18. L. Rachel Ngai & Silvana Tenreyro, 2014. "Hot and Cold Seasons in the Housing Market," American Economic Review, American Economic Association, vol. 104(12), pages 3991-4026, December.
    19. Gaetano Lisi, 2013. "Can the Mortensen-Pissarides Model Match the Housing Market Facts?," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(2), pages 78-92.
    20. Eric Smith & Zoe Xie & Lei Fang, 2022. "The Short and the Long of It: Stock-Flow Matching in the US Housing Market," CESifo Working Paper Series 10035, CESifo.

    More about this item

    Keywords

    Housing market; Housing turnover; Net and gross flows; Psid;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:10041. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.