Stochastic convexity in dynamic programming

B-Tier
Journal: Economic Theory
Year: 2003
Volume: 22
Issue: 2
Pages: 447-455

Score contribution per author:

2.011 = (α=2.01 / 1 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper explores sufficient conditions for a continuous stationary Markov optimal policy and a concave value function in stochastic dynamic programming problems. Also, the paper addresses conditions needed for the differentiability of the value function. The paper uses conditions such as first order stochastic dominance, second order stochastic dominance and concave stochastic dominance that are widely applied in economics. Copyright Springer-Verlag Berlin Heidelberg 2003

Technical Details

RePEc Handle
repec:spr:joecth:v:22:y:2003:i:2:p:447-455
Journal Field
Theory
Author Count
1
Added to Database
2026-01-24