RT Journal Article
T1 Solving dynamic stochastic economic models by mathematical programming decomposition methods
A1 Esteban-Bravo, Mercedes
A1 Nogales, Francisco J.
AB Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic problems are still quite challenging to solve. Economists are aware of the limitations of some of these approaches for solving these problems due to memory and computational requirements. However, many of the economic models present some special structure that can be exploited in an efficient manner. This paper introduces a decomposition methodology, based on a mathematical programming framework, to compute the equilibrium path in dynamic models by breaking the problem into a set of smaller independent subproblems. We study the performance of the method solving a set of dynamic stochastic economic models. The numerical results reveal that the proposed methodology is efficient in terms of computing time and accuracy
PB Elsevier
SN 0305-0548
YR 2008
FD 2008-01
LK https://hdl.handle.net/10016/7356
UL https://hdl.handle.net/10016/7356
LA eng
DS e-Archivo
RD 3 may. 2024