Generalized Bayes in Conditional Moment Restriction Models

Fuente: arXiv
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Autor principal: Kankanala, Sid
Formato: Preprint
Publicado: 2025
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author Kankanala, Sid
author_facet Kankanala, Sid
contents This paper develops a generalized (quasi-) Bayes framework for conditional moment restriction models, where the parameter of interest is a nonparametric structural function of endogenous variables. We establish contraction rates for a class of Gaussian process priors and provide conditions under which a Bernstein-von Mises theorem holds for the quasi-Bayes posterior. Consequently, we show that optimally weighted quasi-Bayes credible sets achieve exact asymptotic frequentist coverage, extending classical results for parametric GMM models. As an application, we estimate firm-level production functions using Chilean plant-level data. Simulations illustrate the favorable performance of generalized Bayes estimators relative to common alternatives.
format Preprint
id arxiv_https___arxiv_org_abs_2510_01036
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Generalized Bayes in Conditional Moment Restriction Models
Kankanala, Sid
Econometrics
Statistics Theory
62G05, 62P20, 62C10
This paper develops a generalized (quasi-) Bayes framework for conditional moment restriction models, where the parameter of interest is a nonparametric structural function of endogenous variables. We establish contraction rates for a class of Gaussian process priors and provide conditions under which a Bernstein-von Mises theorem holds for the quasi-Bayes posterior. Consequently, we show that optimally weighted quasi-Bayes credible sets achieve exact asymptotic frequentist coverage, extending classical results for parametric GMM models. As an application, we estimate firm-level production functions using Chilean plant-level data. Simulations illustrate the favorable performance of generalized Bayes estimators relative to common alternatives.
title Generalized Bayes in Conditional Moment Restriction Models
topic Econometrics
Statistics Theory
62G05, 62P20, 62C10
url https://arxiv.org/abs/2510.01036