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Envelope Theorem, Euler, and Bellman Equations without Differentiability

Author

Listed:
  • Jan Werner

    (University of Minnesota)

  • Ramon Marimon

    (European University Inst. & UPF - Barcelona GSE)

Abstract

We extend the envelope theorem, the Euler equation, and the Bellman equation to dynamic constrained optimization problems where binding constraints can give rise to non-differentiable value functions. The envelope theorem -- an extension of Milgrom and Segal (2002) theorem for concave functions -- provides a generalization of the Euler equation and establishes a relation between the Euler and the Bellman equation. For example, we show how solutions to the standard Belllman equation may fail to satisfy the respective Euler equations, in contrast with solutions to the infinite-horizon problem. In standard maximisation problems the failure of Euler equations may result in inconsistent multipliers, but not in non-optimal outcomes. However, in problems with forward looking constraints this failure can result in inconsistent promises and non-optimal outcomes. We also show how the inconsistency problem can be resolved by a minimal extension of the co-state. As an application we extend the theory of recursive contracts of Marcet and Marimon (1998, 2015) to the case where solutions are not unique, resolving a problem pointed out by Messner and Pavoni (2004).

Suggested Citation

  • Jan Werner & Ramon Marimon, 2015. "Envelope Theorem, Euler, and Bellman Equations without Differentiability," 2015 Meeting Papers 1415, Society for Economic Dynamics.
  • Handle: RePEc:red:sed015:1415
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    References listed on IDEAS

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    3. Meghana Gaur & John Grigsby & Jonathon & Abdoulaye Ndiaye, 2023. "Bonus Question: Does Flexible Incentive Pay Dampen Unemployment Dynamics?," Discussion Papers 2321, Centre for Macroeconomics (CFM).

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    More about this item

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • E00 - Macroeconomics and Monetary Economics - - General - - - General

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