We study a class of infinite horizon stochastic games with uncountable number of states. We first characterize the set of all (nonstationary) short-term (Markovian) equilibrium values by developing a new Abreu, Pearce, and Stacchetti (1990) type procedure operating in function spaces. This...

Using lattice programming and order theoretic fixpoint theory, we develop a powerful class of monotone iterative methods that provide a qualitative theory of Markovian equilibrium for a large class of infinite horizon economies with capital. The class of economies is large and includes...

I study uniqueness and global attracting property of the recursive utility under uncertainty related to Epstein and Zin equations. The equation is specifed by a temporal aggregator which satisfies different conditions then Marinacci and Montrucchio, Le Van and Vailakis and Jaskiewicz, Matkowski...

We embed learning (without experimentation) in optimal growth. We extend the Mirman-Zilcha results of stochastic optimal growth to the learning case. We use recursive methods to study the effect of learning on the dynamic program by considering the case of iso-elastic utility and linear...

In this note, we show that the least xed point of the Bellman op- erator in a certain set can be computed by value iteration whether or not the xed point is the value function. As an application, we show one of the main results of Kamihigashi (2014a) with a simpler proof.