Count Data Models with Heterogeneous Peer Effects under Rational Expectations

Fuente: arXiv
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Main Author: Houndetoungan, Aristide
Format: Preprint
Published: 2024
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author Houndetoungan, Aristide
author_facet Houndetoungan, Aristide
contents This paper develops a peer effect model for count responses under rational expectations. The model accounts for heterogeneity in peer effects across groups based on observed characteristics. Identification is based on the linear model condition that requires the presence of friends of friends who are not direct friends. I show that this identification condition extends to a broad class of nonlinear models. Parameters are estimated using a nested pseudo-likelihood approach. An empirical application to students' extracurricular participation reveals that females are more responsive to peers than males. An easy-to-use R package, CDatanet, is available for implementing the model.
format Preprint
id arxiv_https___arxiv_org_abs_2405_17290
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Count Data Models with Heterogeneous Peer Effects under Rational Expectations
Houndetoungan, Aristide
Econometrics
This paper develops a peer effect model for count responses under rational expectations. The model accounts for heterogeneity in peer effects across groups based on observed characteristics. Identification is based on the linear model condition that requires the presence of friends of friends who are not direct friends. I show that this identification condition extends to a broad class of nonlinear models. Parameters are estimated using a nested pseudo-likelihood approach. An empirical application to students' extracurricular participation reveals that females are more responsive to peers than males. An easy-to-use R package, CDatanet, is available for implementing the model.
title Count Data Models with Heterogeneous Peer Effects under Rational Expectations
topic Econometrics
url https://arxiv.org/abs/2405.17290