The Endogenous Grid Method for Epstein-Zin Preferences

Fuente: arXiv
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1. Verfasser: Lujan, Alan
Format: Preprint
Veröffentlicht: 2026
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author Lujan, Alan
author_facet Lujan, Alan
contents The endogenous grid method (EGM) accelerates dynamic programming by inverting the Euler equation, but it appears incompatible with Epstein-Zin preferences where the value function enters the Euler equation. This paper shows that a power transformation resolves the difficulty. The resulting algorithm requires no root-finding, achieves speed gains of one to two orders of magnitude over value function iteration, and improves accuracy by more than one order of magnitude. Holding accuracy constant, the speedup is two to three orders of magnitude. VFI and time iteration face a speed-accuracy tradeoff; EGM sidesteps it entirely.
format Preprint
id arxiv_https___arxiv_org_abs_2601_04438
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Endogenous Grid Method for Epstein-Zin Preferences
Lujan, Alan
General Economics
Economics
The endogenous grid method (EGM) accelerates dynamic programming by inverting the Euler equation, but it appears incompatible with Epstein-Zin preferences where the value function enters the Euler equation. This paper shows that a power transformation resolves the difficulty. The resulting algorithm requires no root-finding, achieves speed gains of one to two orders of magnitude over value function iteration, and improves accuracy by more than one order of magnitude. Holding accuracy constant, the speedup is two to three orders of magnitude. VFI and time iteration face a speed-accuracy tradeoff; EGM sidesteps it entirely.
title The Endogenous Grid Method for Epstein-Zin Preferences
topic General Economics
Economics
url https://arxiv.org/abs/2601.04438