Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bai, Jushan, Mones, Pablo
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2504.14354
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866918163472449536
author Bai, Jushan
Mones, Pablo
author_facet Bai, Jushan
Mones, Pablo
contents We investigate the problem of global identification in dynamic panel models with interactive effects, under the large-N, fixed-T setting. While local identification, typically established via the Jacobian matrix, is well understood, global identification has remained a more elusive and challenging issue. It is commonly believed to be unachievable in this context. However, we demonstrate that the model is, in fact, globally identified. Our analysis also covers models with additive fixed effects, including cases with unit roots, where previous studies have reported non-identification based on certain estimators. We show that, even in these settings, global identification holds.
format Preprint
id arxiv_https___arxiv_org_abs_2504_14354
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Global identification of dynamic panel models with interactive effects
Bai, Jushan
Mones, Pablo
Econometrics
We investigate the problem of global identification in dynamic panel models with interactive effects, under the large-N, fixed-T setting. While local identification, typically established via the Jacobian matrix, is well understood, global identification has remained a more elusive and challenging issue. It is commonly believed to be unachievable in this context. However, we demonstrate that the model is, in fact, globally identified. Our analysis also covers models with additive fixed effects, including cases with unit roots, where previous studies have reported non-identification based on certain estimators. We show that, even in these settings, global identification holds.
title Global identification of dynamic panel models with interactive effects
topic Econometrics
url https://arxiv.org/abs/2504.14354