Citation:
Rincón Zapatero, J.P. (2019). Differentiability of the value function and Euler equation in non-concave discrete-time stochastic dynamic programming. Economic Theory Bulletin, 8, pp. 79-88.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Ministerio de Economía, Industria y Competitividad (España) Comunidad de Madrid
Sponsor:
Support from the Ministerio de Economía, Industria y Competitividad (Spain), Grants ECO2017-86261-P, ECO2014-56384-P and MDM 2014-0431, and from the Comunidad de Madrid, Grant MadEco-CM S2015/HUM-3444 is gratefully acknowledged.
Project:
Gobierno de España. ECO2014-56384-P Comunidad de Madrid. S2015/HUM-3444 Gobierno de España. ECO2017-86261-P
We consider a stochastic, non-concave dynamic programming problem admitting interior solutions and prove, under mild conditions, that the expected value function is differentiable along optimal paths. This property allows us to obtain rigorously the Euler equaWe consider a stochastic, non-concave dynamic programming problem admitting interior solutions and prove, under mild conditions, that the expected value function is differentiable along optimal paths. This property allows us to obtain rigorously the Euler equation as a necessary condition of optimality for this class of problems.[+][-]