Dynamic Panel Analysis under Cross-Sectional Dependence

Khusrav Gaibulloev, Todd Sandler and Donggyu Sul ()

Political Analysis, 2014, vol. 22, issue 2, 258-273

Abstract: This article investigates inconsistency and invalid statistical inference that often characterize dynamic panel analysis in international political economy. These econometric concerns are tied to Nickell bias and cross-sectional dependence. First, we discuss how to avoid Nickell bias in dynamic panels. Second, we put forward factor-augmented dynamic panel regression as a means for addressing cross-sectional dependence. As a specific application, we use our methods for an analysis of the impact of terrorism on economic growth. Different terrorism variables are shown to have no influence on economic growth for five regional samples when Nickell bias and cross-dependence are taken into account. Our finding about terrorism and growth is contrary to the extant literature.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:cup:polals:v:22:y:2014:i:02:p:258-273_01

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