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Jonathan Levin: 2011 John Bates Clark Medalist

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Listed:
  • Liran Einav
  • Steve Tadelis

Abstract

Jonathan Levin, the 2011 recipient of the American Economic Association's John Bates Clark Medal, has established himself as a leader in the fields of industrial organization and microeconomic theory. Jon has made important contributions in many areas: the economics of contracts and organizations; market design; markets with asymmetric information; and estimation methods for dynamic games. Jon's combination of breadth and depth is remarkable, ranging from important papers in very distinct areas such as economic theory and econometric methods to applied work that seamlessly integrates theory with data. In what follows, we will attempt to do justice not only to Jon's academic work, but also try to sketch a broader portrait of Jon's other contributions to economics as a gifted teacher, dedicated advisor, and selfless provider of public goods.

Suggested Citation

  • Liran Einav & Steve Tadelis, 2012. "Jonathan Levin: 2011 John Bates Clark Medalist," Journal of Economic Perspectives, American Economic Association, vol. 26(2), pages 207-218, Spring.
  • Handle: RePEc:aea:jecper:v:26:y:2012:i:2:p:207-18
    Note: DOI: 10.1257/jep.26.2.207
    as

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    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/jep.26.2.207
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    References listed on IDEAS

    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. J. A. Mirrlees, 1971. "An Exploration in the Theory of Optimum Income Taxation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 38(2), pages 175-208.
    3. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    4. Bengt Holmstrom, 1979. "Moral Hazard and Observability," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 74-91, Spring.
    5. Telser, L G, 1980. "A Theory of Self-enforcing Agreements," The Journal of Business, University of Chicago Press, vol. 53(1), pages 27-44, January.
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    • B31 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals - - - Individuals

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