SOLVING STOCHASTIC OPTIMIZATION MODELS WITH LEARNING AND RATIONAL-EXPECTATIONS

In this paper we present a general single-agent stochastic dynamic opt imization model that is capable of dealing with learning and with rati onal expectations. We obtain the solution by solving at every time ste p the rational expectations model and then applying existing optimizat ion schemes to derive the optimal solution.