IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v171y2018icp97-101.html
   My bibliography  Save this article

Quality, price, and time-on-market

Author

Listed:
  • Martel, Jordan

Abstract

Time-on-market is often interpreted as a negative signal of an asset’s quality. The lengthier the time-on-market, the greater the probability that past buyers arrived, observed some undesirable quality, and chose not to buy. In this paper, I propose a simple model of quality, price, and time-on-market. The model yields closed-form expressions for beliefs, prices, and rates of sale. To demonstrate the accessibility of the model, I work out simple comparative statics for time-on-market and sale price and extend the model by giving the seller a valuable outside option.

Suggested Citation

  • Martel, Jordan, 2018. "Quality, price, and time-on-market," Economics Letters, Elsevier, vol. 171(C), pages 97-101.
  • Handle: RePEc:eee:ecolet:v:171:y:2018:i:c:p:97-101
    DOI: 10.1016/j.econlet.2018.07.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176518302799
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2018.07.025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Maarten C. W. Janssen & Santanu Roy, 2002. "Dynamic Trading in a Durable Good Market with Asymmetric Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(1), pages 257-282, February.
    2. Catherine Tucker & Juanjuan Zhang & Ting Zhu, 2013. "Days on market and home sales," RAND Journal of Economics, RAND Corporation, vol. 44(2), pages 337-360, June.
    3. Kory Kroft & Fabian Lange & Matthew J. Notowidigdo, 2013. "Duration Dependence and Labor Market Conditions: Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 1123-1167.
    4. Fuchs, William & Green, Brett & Papanikolaou, Dimitris, 2016. "Adverse selection, slow-moving capital, and misallocation," Journal of Financial Economics, Elsevier, vol. 120(2), pages 286-308.
    5. Veronica Guerrieri & Robert Shimer, 2014. "Dynamic Adverse Selection: A Theory of Illiquidity, Fire Sales, and Flight to Quality," American Economic Review, American Economic Association, vol. 104(7), pages 1875-1908, July.
    6. Jean Dubé & Diègo Legros, 2016. "A Spatiotemporal Solution for the Simultaneous Sale Price and Time-on-the-Market Problem," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 44(4), pages 846-877, October.
    7. Brendan Daley & Brett Green, 2016. "An Information-Based Theory of Time-Varying Liquidity," Journal of Finance, American Finance Association, vol. 71(2), pages 809-870, April.
    8. Curtis R. Taylor, 1999. "Time-on-the-Market as a Sign of Quality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 555-578.
    9. Brendan Daley & Brett Green, 2012. "Waiting for News in the Market for Lemons," Econometrica, Econometric Society, vol. 80(4), pages 1433-1504, July.
    10. Arulampalam, Wiji, 2001. "Is Unemployment Really Scarring? Effects of Unemployment Experiences on Wages," Economic Journal, Royal Economic Society, vol. 111(475), pages 585-606, November.
    Full references (including those not matched with items on IDEAS)

    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. Asriyan, Vladimir & Fuchs, William & Green, Brett, 2021. "Aggregation and design of information in asset markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 191(C).
    2. Kim, Kyungmin, 2017. "Information about sellers' past behavior in the market for lemons," Journal of Economic Theory, Elsevier, vol. 169(C), pages 365-399.
    3. Adelino, Manuel & Gerardi, Kristopher & Hartman-Glaser, Barney, 2019. "Are lemons sold first? Dynamic signaling in the mortgage market," Journal of Financial Economics, Elsevier, vol. 132(1), pages 1-25.
    4. Palazzo, Francesco, 2017. "Search costs and the severity of adverse selection," Research in Economics, Elsevier, vol. 71(1), pages 171-197.
    5. Manuel Adelino & Kristopher Gerardi & Barney Hartman-Glaser, 2016. "Are Lemons Sold First? Dynamic Signaling in the Mortgage Market," FRB Atlanta Working Paper 2016-8, Federal Reserve Bank of Atlanta.
    6. Fuchs, William & Green, Brett & Papanikolaou, Dimitris, 2016. "Adverse selection, slow-moving capital, and misallocation," Journal of Financial Economics, Elsevier, vol. 120(2), pages 286-308.
    7. Ayça Kaya & Kyungmin Kim, 2018. "Trading Dynamics with Private Buyer Signals in the Market for Lemons," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2318-2352.
    8. Camargo, Braz & Lester, Benjamin, 2014. "Trading dynamics in decentralized markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 153(C), pages 534-568.
    9. William Fuchs & Andrzej Skrzypacz, 2019. "Costs and benefits of dynamic trading in a lemons market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 105-127, July.
    10. Barsanetti, Bruno & Camargo, Braz, 2022. "Signaling in dynamic markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 206(C).
    11. Kawai, Keiichi, 2014. "Dynamic market for lemons with endogenous quality choice by the seller," Games and Economic Behavior, Elsevier, vol. 84(C), pages 152-162.
    12. Taneli Mäkinen & Francesco Palazzo, 2017. "The double bind of asymmetric information in over-the-counter markets," Temi di discussione (Economic working papers) 1128, Bank of Italy, Economic Research and International Relations Area.
    13. Nishihara, Michi & Shibata, Takashi, 2018. "Dynamic bankruptcy procedure with asymmetric information between insiders and outsiders," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 118-137.
    14. Jordan Martel & Kenneth Mirkin & Brian Waters, 2022. "Learning by Owning in a Lemons Market," Journal of Finance, American Finance Association, vol. 77(3), pages 1737-1785, June.
    15. Veronica Guerrieri & Robert Shimer, 2018. "Markets with Multidimensional Private Information," American Economic Journal: Microeconomics, American Economic Association, vol. 10(2), pages 250-274, May.
    16. Richard Lowery & Tim Landvoigt, 2016. "Financial Industry Dynamics," 2016 Meeting Papers 1248, Society for Economic Dynamics.
    17. Vladimir Asriyan & William Fuchs & Brett Green, 2019. "Liquidity Sentiments," American Economic Review, American Economic Association, vol. 109(11), pages 3813-3848, November.
    18. Bilancini, Ennio & Boncinelli, Leonardo, 2016. "Dynamic adverse selection and the supply size," European Economic Review, Elsevier, vol. 83(C), pages 233-242.
    19. Peter Wagner, 2023. "Seller experimentation and trade," Review of Economic Design, Springer;Society for Economic Design, vol. 27(2), pages 337-357, June.
    20. Cockx, Bart & Ghirelli, Corinna, 2016. "Scars of recessions in a rigid labor market," Labour Economics, Elsevier, vol. 41(C), pages 162-176.

    More about this item

    Keywords

    Search; Learning; Time-on-market; Duration dependence;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:eee:ecolet:v:171:y:2018:i:c:p:97-101. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.