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Repeated Moral Hazard and Recursive Lagrangeans

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  • Antonio Mele

    (Universitat Pompeu Fabra)

Abstract

I solve a repeated moral hazard model with a fast and flexible numerical algorithm. Instead of applying the traditional Abreu, Pierce and Stacchetti (1990), I extend the Lagrangean techniques developed in Marcet and Marimon (1998) to the principal-agent framework. A numerical procedure is proposed, that is much faster than the traditional algorithms based on the promised utilities approach, and that can easily deal with large state spaces. Given the computational speed, the algorithm is especially suitable for applications with many state variables and for calibration purposes.

Suggested Citation

  • Antonio Mele, 2008. "Repeated Moral Hazard and Recursive Lagrangeans," 2008 Meeting Papers 482, Society for Economic Dynamics.
  • Handle: RePEc:red:sed008:482
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    Cited by:

    1. Clementi, Gian Luca & Cooley, Thomas F. & Wang, Cheng, 2006. "Stock grants as a commitment device," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 2191-2216, November.
    2. Albert Marcet & Ramon Marimon, 1994. "Recursive contracts," Economics Working Papers 337, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 1998.
    3. Messner Matthias & Pavoni Nicola & Sleet Christopher, "undated". "On the Dual Approach to Recursive Optimization," GSIA Working Papers 2012-E12, Carnegie Mellon University, Tepper School of Business.
    4. Wang, Cheng & Williamson, Stephen, 1996. "Unemployment insurance with moral hazard in a dynamic economy," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 44(1), pages 1-41, June.
    5. Espino, Emilio & Kozlowski, Julian & Sánchez, Juan M., 2013. "Too big to cheat: Efficiency and Investment in Partnerships," Working Papers 2013-001, Federal Reserve Bank of St. Louis, revised 30 Sep 2017.
    6. Matthias Messner & Nicola Pavoni & Christopher Sleet, "undated". "Contractive Dual Methods for Incentive Problems," GSIA Working Papers 2012-E26, Carnegie Mellon University, Tepper School of Business.
    7. Chen, Yunmin & Chien, YiLi & Yang, C.C., 2015. "Individual and Aggregate Constrained Efficient Intertemporal Wedges in Dynamic Mirrleesian Economies," Working Papers 2015-43, Federal Reserve Bank of St. Louis, revised 01 Apr 2016.
    8. Clementi, Gian Luca & Cooley, Thomas F. & Wang, Cheng, 2006. "Stock grants as a commitment device," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 2191-2216, November.
    9. Charles Brendon, 2011. "Applying perturbation analysis to dynamic optimal tax problems," Economics Series Working Papers 581, University of Oxford, Department of Economics.
    10. Emilio Espino, 2012. "Investment and Insurance in an Economic Union," 2012 Meeting Papers 1176, Society for Economic Dynamics.

    More about this item

    JEL classification:

    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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