Jacobian-free Efficient Pseudo-Likelihood (EPL) Algorithm

Takeshi Fukasawa

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arXiv · 2410.20029

Jacobian-free Efficient Pseudo-Likelihood (EPL) Algorithm

Takeshi Fukasawa

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Abstract

This study proposes a simple procedure to compute Efficient Pseudo Likelihood (EPL) estimator proposed by Dearing and Blevins (2024) for estimating dynamic discrete games, without computing Jacobians of equilibrium constraints. EPL estimator is efficient, convergent, and computationally fast. However, the original algorithm requires deriving and coding the Jacobians, which are cumbersome and prone to coding mistakes especially when considering complicated models. The current study proposes to avoid the computation of Jacobians by combining the ideas of numerical derivatives (for computing Jacobian-vector products) and the Krylov method (for solving linear equations). It shows good computational performance of the proposed method by numerical experiments.

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BibTeX RIS

Takeshi Fukasawa. 2024-10-26. Jacobian-free Efficient Pseudo-Likelihood (EPL) Algorithm. https://arxiv.org/abs/2410.20029

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