Multidimensional endogenous gridpoint method: Solving triangular dynamic stochastic optimization problems without root-finding operations

C-Tier
Journal: Economics Letters
Year: 2015
Volume: 135
Issue: C
Pages: 72-76

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper defines the class of triangular dynamic stochastic optimization problems with multiple continuous choices which can be solved by the multidimensional generalization of the method of endogenous gridpoints without costly root-finding operations. The typical member of this class is a model of multiple asset dynamics, with potential applications in wealth, health and human capital accumulation, portfolio problems, multisector growth models, etc.

Technical Details

RePEc Handle
repec:eee:ecolet:v:135:y:2015:i:c:p:72-76
Journal Field
General
Author Count
1
Added to Database
2026-02-02