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

Fedor Iskhakov*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)72-76
Number of pages5
JournalEconomics Letters
Volume135
DOIs
Publication statusPublished - 1 Oct 2015
Externally publishedYes

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