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Backward Unraveling over Time: The Evolution of Strategic Behavior in the Entry-Level British Medical Labor Markets

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  • M. Utku Ünver

    (University of Pittsburgh)

Abstract

This study introduces a computational tool to analyze how a population of decision makers communicates and learns to coordinate to attain an equilibrium or a social convention in a two-sided matching game with incomplete information. Genetic algorithms are used in an environment where agents are heterogeneous and have private information. In the contexts of centralized and decentralized entry-level labor markets, evolution and adjustment paths of "unraveling" are explored using this tool. The situation of the Kagel and Roth (1997) laboratory experiment is generalized under a variety of markets and institutions. Evolution paths of unraveling are investigated, particularly for the historic entry-level British medical labor markets. As one result, it is demonstrated that "stability" need not be required for the success of a matching-mechanism under incomplete information in the long run. Evolutionary evidence is found to support the field success of unstable linear programming mechanisms used in Britain.

Suggested Citation

  • M. Utku Ünver, 1999. "Backward Unraveling over Time: The Evolution of Strategic Behavior in the Entry-Level British Medical Labor Markets," Computing in Economics and Finance 1999 1132, Society for Computational Economics.
    • Handle: RePEc:sce:scecf9:1132
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    References listed on IDEAS

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    Cited by:

    1. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
    2. Ludo Waltman & Nees Eck & Rommert Dekker & Uzay Kaymak, 2011. "Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 737-756, December.
    3. Boudreau, James W., 2010. "Stratification and growth in agent-based matching markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 168-179, August.
    4. Pablo Guillen & Onur Kesten, 2012. "Matching Markets With Mixed Ownership: The Case For A Real‐Life Assignment Mechanism," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 1027-1046, August.
    5. Guillaume R. Fréchette & Alvin E. Roth & M. Utku Ünver, 2007. "Unraveling yields inefficient matchings: evidence from post-season college football bowls," RAND Journal of Economics, RAND Corporation, vol. 38(4), pages 967-982, December.
    6. William Tracy, 2014. "Paradox Lost: The Evolution of Strategies in Selten’s Chain Store Game," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 83-103, January.
    7. Clayton Featherstone & Muriel Niederle, 2008. "Ex Ante Efficiency in School Choice Mechanisms: An Experimental Investigation," NBER Working Papers 14618, National Bureau of Economic Research, Inc.
    8. Muriel Niederle & Alvin E. Roth, 2004. "Market Culture: How Norms Governing Exploding Offers Affect Market Performance," Levine's Bibliography 122247000000000018, UCLA Department of Economics.
    9. Boudreau, James W. & Knoblauch, Vicki, 2014. "What price stability? Social welfare in matching markets," Mathematical Social Sciences, Elsevier, vol. 67(C), pages 27-33.
    10. Alvin E Roth & Muriel Niederle, 2007. "Making Markets Thick: Designing Rules for Offers and Acceptances," Levine's Bibliography 843644000000000142, UCLA Department of Economics.
    11. Muriel Niederle & Alvin E. Roth & M. Utku Ünver, 2013. "Unraveling Results from Comparable Demand and Supply: An Experimental Investigation," Games, MDPI, vol. 4(2), pages 1-40, June.
    12. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    13. Alvin E. Roth, 2012. "Marketplace Institutions Related to the Timing of Transactions: Reply to Priest," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 479-494.
    14. Alvin E. Roth, 2010. "Marketplace Institutions Related to the Timing of Transactions," NBER Working Papers 16556, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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