The kinetic theory is employed to analyze influence of agent competence and psychological
factors on investment decision-making. We assume that the wealth held by agents in the …

We present a highly parallelizable and flexible computational method to solve high-
dimensional stochastic dynamic economic models. Solving such models often requires the …

We propose a massively parallelized and optimized framework to solve high-dimensional
dynamic stochastic economic models on modern GPU-and KNL-based clusters. First, we …

Using the education level/wage distribution curve of the Brazilian States we define a
dynamic programming problem to determine the optimal choice of education level of the …

This paper derives explicit error bounds for numerical policies of η η-concave stochastic
dynamic programming problems, without assuming the optimal policy is interior. We …

This report analyzes the classic dynamic programming problem that arises frequently in
dynamic economic models. It uses projection methods to solve the residual problem. It …

Financial frictions can reduce aggregate productivity, in particular when firms with high
productivity cannot borrow against their earnings. This paper investigates the quantitative …

Ano de defesa: 2012. Quantidade de folhas: 75. Tese de Doutorado (Economia)–
Universidade Católica de Brasília, Brasília, 2012. No primeiro capítulo deste trabalho nós …

Under the hypotheses of strong concavity of the aggregator function and concavity of the
stochastic operator which define the objective function of the stochastic dynamic …

We present a highly parallelizable and flexible computational method to solve high-
dimensional stochastic dynamic economic models. Solving such models often requires the …