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Efficient Sorting in a Dynamic Adverse-Selection Model

Author

Listed:
  • I. Hendel
  • A. Lizzeri
  • M. Siniscalchi

Abstract

We discuss a class of markets for durable goods where efficiency (or approximate efficiency) is obtained despite the presence of information asymmetries. In the model, the number of times a good has changed hands (the vintage of the good) is an accurate signal of its quality, each consumer self-selects into obtaining the vintage that the social planner would have assigned to her, and consumers' equilibrium trading behaviour in secondary markets is not subject to adverse selection. We show that producers have the incentive to choose contracts that lead to the efficient allocation, and to supply the efficient output. We also provide a contrast between leasing contracts, resale contracts, and different kinds of rental contracts. Resale contracts do not lead to the efficient allocation. A specific kind of rental contract provides the appropriate incentives to consumers. Copyright 2005, Wiley-Blackwell.
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Suggested Citation

  • I. Hendel & A. Lizzeri & M. Siniscalchi, 2002. "Efficient Sorting in a Dynamic Adverse-Selection Model," Princeton Economic Theory Working Papers 9879581e6de5e61fcfb0cd82b, David K. Levine.
    • Handle: RePEc:cla:princt:9879581e6de5e61fcfb0cd82bbc511e8
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    Cited by:

    1. Anne‐Célia Disdier & Carl Gaigné & Cristina Herghelegiu, 2023. "Do standards improve the quality of traded products?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(4), pages 1238-1290, November.
    2. Jayarajan, Dinakar & Siddarth, S. & Silva-Risso, Jorge, 2018. "Cannibalization vs. competition: An empirical study of the impact of product durability on automobile demand," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 641-660.
    3. Battaglini, Marco, 2007. "Optimality and renegotiation in dynamic contracting," Games and Economic Behavior, Elsevier, vol. 60(2), pages 213-246, August.
    4. 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.
    5. Christopher L. House & John V. Leahy, 2004. "An sS Model with Adverse Selection," Journal of Political Economy, University of Chicago Press, vol. 112(3), pages 581-614, June.
    6. Camargo, Braz & Lester, Benjamin, 2014. "Trading dynamics in decentralized markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 153(C), pages 534-568.
    7. Amegashie, J. Atsu, 2013. "Consumers' Complaints, the Nature of Corruption, and Social Welfare," MPRA Paper 47215, University Library of Munich, Germany.
    8. Anthony Creane & Thomas D. Jeitschko, 2016. "Endogenous Entry in Markets with Unobserved Quality," Journal of Industrial Economics, Wiley Blackwell, vol. 64(3), pages 494-519, September.
    9. Benedikt Notheisen & Jacob Benjamin Cholewa & Arun Prasad Shanmugam, 2017. "Trading Real-World Assets on Blockchain," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(6), pages 425-440, December.
    10. Bilancini, Ennio & Boncinelli, Leonardo, 2016. "Dynamic adverse selection and the supply size," European Economic Review, Elsevier, vol. 83(C), pages 233-242.
    11. Jonathan R. Peterson & Henry S. Schneider, 2017. "Beautiful Lemons: Adverse Selection in Durable-Goods Markets with Sorting," Management Science, INFORMS, vol. 63(9), pages 3111-3127, September.
    12. Vincent Maurin, 2022. "Liquidity Fluctuations in Over‐the‐Counter Markets," Journal of Finance, American Finance Association, vol. 77(2), pages 1325-1369, April.
    13. Moore, John, 2013. "Contagious Illiquidity I: Contagion through Time," SIRE Discussion Papers 2013-73, Scottish Institute for Research in Economics (SIRE).
    14. Andrea L. Eisfeldt & Adriano A. Rampini, 2009. "Leasing, Ability to Repossess, and Debt Capacity," The Review of Financial Studies, Society for Financial Studies, vol. 22(4), pages 1621-1657, April.
    15. Brendan Daley & Brett Green, 2012. "Waiting for News in the Market for Lemons," Econometrica, Econometric Society, vol. 80(4), pages 1433-1504, July.
    16. 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.
    17. Klaus Kultti & Eeva Mauring & Juuso Vanhala & Timo Vesala, 2015. "Adverse Selection In Dynamic Matching Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 67(2), pages 115-133, April.
    18. Pascal Toquebeuf, 2025. "Dynamic adverse selection with the best and the worst in mind," Post-Print hal-05407714, HAL.
    19. Jonathan R. Peterson & Henry S. Schneider, 2014. "Adverse selection in the used-car market: evidence from purchase and repair patterns in the Consumer Expenditure Survey," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 140-154, March.
    20. Igal Hendel & Alessandro Lizzeri & Marciano Siniscalchi, 2005. "Efficient Sorting in a Dynamic Adverse-Selection Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 467-497.
    21. Raymond Deneckere & Meng‐Yu Liang, 2008. "Imperfect durability and the Coase conjecture," RAND Journal of Economics, RAND Corporation, vol. 39(1), pages 1-19, March.
    22. Marco Battaglini, 2005. "Long-Term Contracting with Markovian Consumers," American Economic Review, American Economic Association, vol. 95(3), pages 637-658, June.
    23. Pablo Kurlat, 2013. "Lemons Markets and the Transmission of Aggregate Shocks," American Economic Review, American Economic Association, vol. 103(4), pages 1463-1489, June.
    24. Engers, Maxim & Hartmann, Monica & Stern, Steven, 2009. "Are lemons really hot potatoes?," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 250-263, March.

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