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Residential Asking Rents and Time on the Market

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  • Marcus Allen
  • Ronald Rutherford
  • Thomas Thomson

Abstract

Landlords offering a house in the rental market face a difficult strategic pricing decision. The revenue maximizing decision for the landlord involves a tradeoff between the rental rate and time on the market. Because the turnover of renters is higher than owners, and because the landlord must bear some carrying costs on a vacant house, pricing the rent too high may decrease revenue due to a higher vacancy period and pricing it too low may reduce the revenue when occupied. While there is substantial research on the relationship between listed prices and time on the market for freehold interests, this is the first study to provide empirical evidence on the relationship between asking rent, contract rent and time on the market for single family residential rental (leasehold) property interests. We present two models; a rental price model and a duration model for time-on-the market. Using data from the Dallas–Fort Worth area we find that landlords who set a lower asking rent relative to predicted rent can expect a shorter marketing period for their properties. The results also indicate that overpricing the asking rent and then lowering it at a later date leads to a longer marketing time (after the reset) and often a lower rent. These finding are reasonably robust for low-, mid-, and higher-valued rental properties. Copyright Springer Science+Business Media, LLC 2009

Suggested Citation

  • Marcus Allen & Ronald Rutherford & Thomas Thomson, 2009. "Residential Asking Rents and Time on the Market," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 351-365, May.
  • Handle: RePEc:kap:jrefec:v:38:y:2009:i:4:p:351-365
    DOI: 10.1007/s11146-007-9092-0
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    References listed on IDEAS

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    Cited by:

    1. Xin He & Zhenguo Lin & Yingchun Liu & Michael J. Seiler, 2020. "Search Benefit in Housing Markets: An Inverted U‐Shaped Price and TOM Relation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 772-807, September.
    2. 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.
    3. John Mc Breen & Florence Goffette-Nagot & Pablo Jensen, 2011. "Information and Search on the Housing Market: An Agent-based Model," ERSA conference papers ersa11p1395, European Regional Science Association.
    4. Luis A. Lopez, 2024. "Is there a Principal-Agency Problem with Real Estate Agents in Rental Markets?," The Journal of Real Estate Finance and Economics, Springer, vol. 69(1), pages 29-69, July.
    5. Füss, Roland & Koller, Jan A., 2016. "The role of spatial and temporal structure for residential rent predictions," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1352-1368.
    6. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich, 2020. "Exploring the determinants of real estate liquidity from an alternative perspective: censored quantile regression in real estate research," Journal of Business Economics, Springer, vol. 90(7), pages 1057-1086, August.
    7. Bruce L. Gordon & Michael J. Seiler & Ralph Siebert & Daniel T. Winkler, 2022. "Do Real Estate Contingency Clauses Affect Selling Price and Time-on-the-Market?," CESifo Working Paper Series 9947, CESifo.
    8. John Mc Breen & Florence Goffette-Nagot & Pablo Jensen, 2009. "An Agent-Based Simulation of Rental Housing Markets," Post-Print halshs-00374157, HAL.
    9. Kang-Min Ryu & Hyung Min Kim, 2021. "Rent-Seeking by Rent Concession: An Analysis of Rent-Free Periods in the Seoul Office Market," International Real Estate Review, Global Social Science Institute, vol. 24(4), pages 633-658.
    10. Marcelo Cajias & Philipp Freudenreich & Anna Heller & Wolfgang Schaefers, 2018. "Censored Quantile Regressions and the Determinants of Real Estate Liquidity," ERES eres2018_203, European Real Estate Society (ERES).
    11. Crocker H. Liu & Adam Nowak & Stuart Rosenthal, 2014. "Bubbles, Post-Crash Dynamics, and the Housing Market," Working Papers 14-18, Department of Economics, West Virginia University.
    12. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich & Wolfgang Schäfers, 2020. "Liquidity and prices: a cluster analysis of the German residential real estate market," Journal of Business Economics, Springer, vol. 90(7), pages 1021-1056, August.
    13. 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.
    14. 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.
    15. Giacoletti, Marco & Parsons, Christopher A., 2022. "Peak-Bust rental spreads," Journal of Financial Economics, Elsevier, vol. 143(1), pages 504-526.
    16. Nasser Daneshvary & Terrence Clauretie, 2013. "Agent Change and Seller Bargaining Power: A Case of Principal Agent Problem in the Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 47(3), pages 416-433, October.

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