Inference in Unbalanced Panel Data Models with Interactive Fixed Effects

Autor:	Czarnowske, Daniel, Stammann, Amrei
Rok vydání:	2020
Předmět:	Economics - Econometrics
Druh dokumentu:	Working Paper
Popis:	In this article, we study the limiting behavior of Bai (2009)'s interactive fixed effects estimator in the presence of randomly missing data. In extensive simulation experiments, we show that the inferential theory derived by Bai (2009) and Moon and Weidner (2017) approximates the behavior of the estimator fairly well. However, we find that the fraction and pattern of randomly missing data affect the performance of the estimator. Additionally, we use the interactive fixed effects estimator to reassess the baseline analysis of Acemoglu et al. (2019). Allowing for a more general form of unobserved heterogeneity as the authors, we confirm significant effects of democratization on growth. Comment: 35 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.03414 Zobrazit plný text záznamu View this record from Arxiv