We derive necessary and sufficient conditions for a pair of functions to be the optimal policy function and the optimal value function of a dynamic maximization problem with convex constraints and concave objective functional. It is shown that every Lipschitz continuous function can be the solution of such a problem. If the maintained assumptions include free disposal and monotonicity, then we obtain a complete characterization of all optimal policy and optimal value functions. This is the case, e.g., in the standard aggregative optimal growth model.
MLA
Mitra, Tapan, and Gerhard Sorger. “Rationalizing Policy Functions by Dynamic Optimization.” Econometrica, vol. 67, .no 2, Econometric Society, 1999, pp. 375-392, https://doi.org/10.1111/1468-0262.00023
Chicago
Mitra, Tapan, and Gerhard Sorger. “Rationalizing Policy Functions by Dynamic Optimization.” Econometrica, 67, .no 2, (Econometric Society: 1999), 375-392. https://doi.org/10.1111/1468-0262.00023
APA
Mitra, T., & Sorger, G. (1999). Rationalizing Policy Functions by Dynamic Optimization. Econometrica, 67(2), 375-392. https://doi.org/10.1111/1468-0262.00023
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