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Trading Dynamics with Private Buyer Signals in the Market for Lemons

Author

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  • Ayça Kaya
  • Kyungmin Kim
Abstract
We present a dynamic model of trading under adverse selection in which a seller sequentially meets buyers, each of whom receives a noisy signal about the quality of the seller’s asset and offers a price. We fully characterize the equilibrium trading dynamics and show that buyers’ beliefs about the quality of the asset can either increase or decrease over time, depending on the initial level. This result demonstrates how the introduction of private buyer signals enriches the set of trading patterns that can be accommodated within the framework of dynamic adverse selection, thereby broadening its applicability. We also examine the economic effects of search frictions and the informativeness of buyers’ signals in our model and discuss the robustness of our main insights in multiple directions.

Suggested Citation

  • 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.
    • Handle: RePEc:oup:restud:v:85:y:2018:i:4:p:2318-2352.
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    File URL: http://hdl.handle.net/10.1093/restud/rdy007
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    References listed on IDEAS

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    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Fuchs, William & Öry, Aniko & Skrzypacz, Andrzej, 2016. "Transparency and distressed sales under asymmetric information," Theoretical Economics, Econometric Society, vol. 11(3), September.
    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. Rasmus Lentz & Torben Tranas, 2005. "Job Search and Savings: Wealth Effects and Duration Dependence," Journal of Labor Economics, University of Chicago Press, vol. 23(3), pages 467-490, July.
    5. Palazzo, Francesco, 2017. "Search costs and the severity of adverse selection," Research in Economics, Elsevier, vol. 71(1), pages 171-197.
    6. Gerardi, Dino & Hörner, Johannes & Maestri, Lucas, 2014. "The role of commitment in bilateral trade," Journal of Economic Theory, Elsevier, vol. 154(C), pages 578-603.
    7. Johannes Hörner & Nicolas Vieille, 2009. "Public vs. Private Offers in the Market for Lemons," Econometrica, Econometric Society, vol. 77(1), pages 29-69, January.
    8. Francisco M. Gonzalez & Shouyong Shi, 2010. "An Equilibrium Theory of Learning, Search, and Wages," Econometrica, Econometric Society, vol. 78(2), pages 509-537, March.
    9. Fuchs, William & Skrzypacz, Andrzej, 2015. "Government interventions in a dynamic market with adverse selection," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 371-406.
    10. 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.
    11. Stefan Eriksson & Dan-Olof Rooth, 2014. "Do Employers Use Unemployment as a Sorting Criterion When Hiring? Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 104(3), pages 1014-1039, March.
    12. Jean-Pierre Ponssard, 1975. "A Note on Information Value Theory for Experiments Defined Extensive Form," Management Science, INFORMS, vol. 22(4), pages 449-454, December.
    13. Eric Overby & Sandy Jap, 2009. "Electronic and Physical Market Channels: A Multiyear Investigation in a Market for Products of Uncertain Quality," Management Science, INFORMS, vol. 55(6), pages 940-957, June.
    14. Ginger Zhe Jin & Andrew Kato, 2007. "Dividing Online and Offline: A Case Study," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 981-1004.
    15. Stephan Lauermann & Asher Wolinsky, 2016. "Search With Adverse Selection," Econometrica, Econometric Society, vol. 84, pages 243-315, January.
    16. Briana Chang, 2018. "Adverse Selection and Liquidity Distortion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 275-306.
    17. 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.
    18. Max R. Blouin & Roberto Serrano, 2001. "A Decentralized Market with Common Values Uncertainty: Non-Steady States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 323-346.
    19. Horowitz, Joel L, 1992. "The Role of the List Price in Housing Markets: Theory and an Econometric Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 115-129, April-Jun.
    20. Max Blouin, 2001. "Equilibrium in a Decentralized Market with Adverse Selection," Cahiers de recherche CREFE / CREFE Working Papers 128, CREFE, Université du Québec à Montréal, revised Mar 2001.
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    Cited by:

    1. Hu, Yunzhi, 2022. "A dynamic theory of bank lending, firm entry, and investment fluctuations," Journal of Economic Theory, Elsevier, vol. 204(C).
    2. Heinsalu, Sander, 2020. "Investing to access an adverse selection market," International Journal of Industrial Organization, Elsevier, vol. 72(C).
    3. Dilmé, Francesc, 2019. "Dynamic quality signaling with hidden actions," Games and Economic Behavior, Elsevier, vol. 113(C), pages 116-136.
    4. Hwang, Ilwoo, 2018. "Dynamic trading with developing adverse selection," Journal of Economic Theory, Elsevier, vol. 176(C), pages 761-802.
    5. Kaya, Ayça & Roy, Santanu, 2022. "Market screening with limited records," Games and Economic Behavior, Elsevier, vol. 132(C), pages 106-132.
    6. Peter Wagner, 2023. "Seller experimentation and trade," Review of Economic Design, Springer;Society for Economic Design, vol. 27(2), pages 337-357, June.
    7. Sarah Auster & Piero Gottardi & Ronald Wolthoff, 2022. "Simultaneous Search and Adverse Selection," Working Papers tecipa-734, University of Toronto, Department of Economics.
    8. Soeren Johansen & Anders Rygh Swensen, 2021. "Adjustment coefficients and exact rational expectations in cointegrated vector autoregressive models," Discussion Papers 21-07, University of Copenhagen. Department of Economics.
    9. Choi, Michael, 2018. "Imperfect information transmission and adverse selection in asset markets," Journal of Economic Theory, Elsevier, vol. 176(C), pages 619-649.
    10. Starkov, Egor, 2023. "Only time will tell: Credible dynamic signaling," Journal of Mathematical Economics, Elsevier, vol. 109(C).
    11. Barsanetti, Bruno & Camargo, Braz, 2022. "Signaling in dynamic markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 206(C).
    12. Dino Gerardi & Lucas Maestri & Ignacio Monzón, 2022. "Bargaining over a Divisible Good in the Market for Lemons," American Economic Review, American Economic Association, vol. 112(5), pages 1591-1620, May.
    13. Ben Casner, 2021. "Learning while shopping: an experimental investigation into the effect of learning on consumer search," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 238-273, March.
    14. Daniel Broxterman & Tingyu Zhou, 2023. "Information Frictions in Real Estate Markets: Recent Evidence and Issues," The Journal of Real Estate Finance and Economics, Springer, vol. 66(2), pages 203-298, February.
    15. Huck, Nicolas & Mavoori, Hareesh & Mesly, Olivier, 2020. "The rationality of irrationality in times of financial crises," Economic Modelling, Elsevier, vol. 89(C), pages 337-350.
    16. Hwang, Ilwoo, 2018. "A theory of bargaining deadlock," Games and Economic Behavior, Elsevier, vol. 109(C), pages 501-522.
    17. Maarten C.W. Janssen & Santanu Roy, 2023. "Information Uncertainty," Departmental Working Papers 2306, Southern Methodist University, Department of Economics.
    18. Jeong Ho (John) Kim & Kyungmin Kim & Marilyn Pease, 2024. "Unemployment Duration Under Flexible Information Acquisition," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 471-503, February.
    19. Francesc Dilmé, 2024. "Bargaining with Binary Private Information," ECONtribute Discussion Papers Series 284, University of Bonn and University of Cologne, Germany.
    20. Justus Preusser & Andre Speit, 2023. "Transparency in Sequential Common-Value Trade," CRC TR 224 Discussion Paper Series crctr224_2023_487, University of Bonn and University of Mannheim, Germany.

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    More about this item

    Keywords

    Adverse selection; Market for lemons; Inspection; Time-on-the-market;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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