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Computation of Moral-Hazard Problems

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  • Kenneth L. Judd
  • Che-Lin Su

    ()
    (Hoover Institute Hoover Institution)

Abstract

We study computational aspects of moral-hazard problems. We consider deterministic contracts as well as contracts with action and/or compensation lotteries, and formulate each case as a mathematical program with equilibrium constraints (MPEC). We investigate and compare solution properties of the MPEC approach with the linear programming (LP) approach with lotteries. We propose a hybrid procedure that combines the best features of the both. The hybrid procedure obtains a solution that is, if not globally optimal, at least as good as an LP solution. It also preserves the fast local convergence property by applying the SQP algorithm to MPECs. Numerical examples show that the hybrid procedure outperforms the LP approach in both computational time and solution quality in term of the optimal objective value

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Bibliographic Info

Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 411.

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Date of creation: 11 Nov 2005
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Handle: RePEc:sce:scecf5:411

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Keywords: MPEC problems; moral hazard; lottery problems;

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