We introduce an algorithm for solving dynamic economic models that merges stochastic simulation and projection approaches: we use simulation to approximate the ergodic measure of the solution, we construct a fixed grid covering the support of the constructed ergodic measure, and we use...

We study a coordination problem where agents act sequentially. Agents are embedded in anobservation network that allows them to observe the actions of their neighbors. We find thatcoordination failures do not occur if there exists a sufficiently large clique. Its existence isnecessary and...

We develop, both theoretically and experimentally, a stereotypical environment that allows for coordination breakdown, leading to a bank run. Three depositors are located at the nodes of a network and have to decide whether to keep their funds deposited or to withdraw. One of the depositors has...

This paper examines the celebrated "Strength of weak ties" theory of Granovetter(1973). We formalize the theory in terms of two hypotheses: one, for any threeplayers with two links present, the probability of a third link being present isincreasing in the strength of the two ties, and two, the...

The matching of individuals in teams is a key element in the functioning of an economy. The network of social ties can potentially transmit important information on abilities and reputations and also help mitigate matching frictions by facilitating interactions among ¿screened¿ individuals. We...

We develop numerically stable and accurate stochastic simulation approaches for solving dynamic economic models. First, instead of standard least-squares methods, we examine a variety of alternatives, including least-squares methods using singular value decomposition and Tikhonov regularization,...

We develop a method of solving heterogeneous agent models in which individual decisions depend on the entire cross-sectional distribution of individual state variables, such as incomplete market models with liquidity constraints. Our method is based on the principle of reinforcement learning,...

We assess gains from parallel computation on Backlight supercomputer. We find that information transfers are expensive. To make parallel computation efficient, a task per core must be sufficiently large, ranging from few seconds to one minute depending on the number of cores employed. For small...

This paper studies the effect of sovereign risk on capital flows from rich to poor nations in the context of a two-country model where Foreign Direct Investment (FDI) creates positive externalities in domestic production. We show that if externalities are large, a developing country never...

Equilibrium selection in the Nash demand game is investigated in a learning context with persistent randomness. I adopt a matching framework similar to Kandori, Mailath and Rob (1993) and assume that individuals belong to populations of different sizes. Despite the myopic behavior of...