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A Nonsmooth approach to enevelope theorems

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TLDR
In this article, a nonsmooth approach to envelope theorems applicable to a broad class of parameterized constrained nonlinear optimization problems that arise typically in economic applications with nonconvexities and/or non-smooth objectives was developed.
Abstract
We develop a nonsmooth approach to envelope theorems applicable to a broad class of parameterized constrained nonlinear optimization problems that arise typically in economic applications with nonconvexities and/or nonsmooth objectives. Our methods emphasize the role of the Strict Mangasarian–Fromovitz Constraint Qualification (SMFCQ), and include envelope theorems for both the convex and nonconvex case, allow for noninterior solutions as well as equality and inequality constraints. We give new sufficient conditions for the value function to be directionally differentiable, as well as continuously differentiable. We apply our results to stochastic growth models with Markov shocks and constrained lattice programming problems. (This abstract was borrowed from another version of this item.)

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Optimization in economies with nonconvexities

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The envelope theorem, Euler and Bellman equations, without differentiability

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A Generalized Approach to Envelope Theorems

TL;DR: In this paper, a generalized approach to envelope theorems that applies across a broad class of parameterized nonlinear optimization problems that arise typically in economic applications is developed. But the approach is limited to the case where the value function is locally Lipschitz and/or Clarke.
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