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Are homes hot or cold potatoes? The distribution of marketing time in the housing market

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  • Carrillo, Paul E.
  • Pope, Jaren C.

Abstract

This paper analyzes how the distribution of marketing time of residential real estate evolves across time. Using real estate data from a large suburb in the Washington D.C. area we first show that the whole distribution of marketing time shifts to the right when a “hot” housing market in 2003 is compared with a “cold” one in 2007. The shift, however, is not homogenous across the distribution: it is negligible at lower percentiles, very large at the median and much smaller at higher percentiles. Moreover, the shift in the distribution cannot be explained by changes in the characteristics of the units. We then compute (quality adjusted) time on the market distributions and hazard functions for each year during the period 1997 to 2007. We find that while there are no changes at the bottom of the (conditional) distribution over time, higher percentiles, such as the first quartile and the median, are notably more volatile. We also find that the distribution of marketing time is heterogeneous across property types and property location. The focus on the distribution of marketing time rather than solely on the mean or on the median provides a comprehensive description of the evolution of this asset's liquidity and may help homeowners and financial institutions to better grapple with liquidity risk.

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  • Carrillo, Paul E. & Pope, Jaren C., 2012. "Are homes hot or cold potatoes? The distribution of marketing time in the housing market," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 189-197.
  • Handle: RePEc:eee:regeco:v:42:y:2012:i:1:p:189-197
    DOI: 10.1016/j.regsciurbeco.2011.08.010
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    Cited by:

    1. Carrillo, Paul E. & Williams, Benjamin, 2019. "The repeat time-on-the-market index," Journal of Urban Economics, Elsevier, vol. 112(C), pages 33-49.
    2. Lopez, Esteban & Hewings, Geoffrey J.D., 2018. "Housing price indices for small spatial units," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 57-71.
    3. Agnes Kovacs & Hamish Low & Patrick Moran, 2021. "Estimating Temptation And Commitment Over The Life Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(1), pages 101-139, February.
    4. Erik Robert de Carrillo & William Larson, 2012. "Can housing liquidity help forecast subsequent house price appreciation: Evidence from the US and the Netherlands," ERES eres2012_174, European Real Estate Society (ERES).
    5. Paul E. Carrillo & Erik Robert De Wit & William D. Larson, 2012. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the U.S. and the Netherlands," Working Papers 2012-11, The George Washington University, Institute for International Economic Policy.
    6. Ghent, Andra C., 2021. "What’s wrong with Pittsburgh? Delegated investors and liquidity concentration," Journal of Financial Economics, Elsevier, vol. 139(2), pages 337-358.
    7. 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.
    8. David Koch & Gunther Maier, 2015. "The influence of estate agencies’ location and time on Internet," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(2), pages 147-171, October.
    9. Peyman Khezr & Flavio M. Menezes, 2016. "Dynamic and Static Asking Prices in the Sydney Housing Market," The Economic Record, The Economic Society of Australia, vol. 92(297), pages 209-221, June.
    10. Darren K. Hayunga & R. Kelley Pace, 2019. "The Impact of TOM on Prices in the US Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 335-365, April.
    11. Paul E. Carrillo & Eric R. Wit & William Larson, 2015. "Can Tightness in the Housing Market Help Predict Subsequent Home Price Appreciation? Evidence from the United States and the Netherlands," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 609-651, September.
    12. Paul E. Carrillo & Jonathan L. Rothbaum, 2016. "Counterfactual Spatial Distributions," Journal of Regional Science, Wiley Blackwell, vol. 56(5), pages 868-894, November.
    13. Carolin Fritzsche & Lars Vandrei, 2018. "Causes of Vacancies in the Housing Market – A Literature Review," ifo Working Paper Series 258, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    14. Daniel Melser, 2023. "The housing market reaction to the combustible cladding crisis: Safety or financial concerns?," Urban Studies, Urban Studies Journal Limited, vol. 60(4), pages 620-637, March.
    15. Liu, Crocker H. & Nowak, Adam & Rosenthal, Stuart S., 2016. "Housing price bubbles, new supply, and within-city dynamics," Journal of Urban Economics, Elsevier, vol. 96(C), pages 55-72.
    16. Pan, Yao, 2016. "Understanding the rural and urban household saving rise in China," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 46-59.
    17. Dorinth van Dijk, 2019. "Local Constant-Quality Housing Market Liquidity Indices," DNB Working Papers 637, Netherlands Central Bank, Research Department.
    18. Justin Contat & Malcolm Rogers, 2022. "Housing Supply and Liquidity in the COVID-19 Era," FHFA Staff Working Papers 22-02, Federal Housing Finance Agency.
    19. Guignet, Dennis B. & Martinez-Cruz, Adan L., 2018. "The impacts of underground petroleum releases on a homeowner's decision to sell: A difference-in-differences approach," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 11-24.
    20. Li, Phillip & Mayock, Tom, 2019. "Mortgage characteristics and the racial incidence of default," Journal of Housing Economics, Elsevier, vol. 46(C).
    21. Soosung Hwang & Youngha Cho & Jinho Shin, 2017. "Does illiquidity matter in residential properties?," Applied Economics, Taylor & Francis Journals, vol. 49(1), pages 1-20, January.
    22. Irwin, Nicholas & Wolf, David, 2022. "Time is money: Water quality's impact on home liquidity and property values," Ecological Economics, Elsevier, vol. 199(C).
    23. Galesi, Alessandro & Mata, Nuria & Rey, David & Schmitz, Sebastian & Schuffels, Johannes, 2020. "Regional Housing Market Conditions in Spain," Research Memorandum 029, Maastricht University, Graduate School of Business and Economics (GSBE).
    24. van Dijk, Dorinth W., 2024. "Local constant-quality housing market liquidity indices," Regional Science and Urban Economics, Elsevier, vol. 106(C).

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    More about this item

    Keywords

    Time on market; Liquidity risk; Quantile decomposition; Duration model; Censoring;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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