A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence

Kaddour Hadri () and Eiji Kurozumi ()

Global COE Hi-Stat Discussion Paper Series from Institute of Economic Research, Hitotsubashi University

Abstract: This paper develops a simple test for the null hypothesis of stationarity in heterogeneous panel data with cross-sectional dependence in the form of a common factor in the disturbance. We do not estimate the common factor but mop-up its effect by employing the same method as the one proposed in Pesaran (2007) in the unit root testing context. Our test is basically the same as the KPSS test but the regression is augmented by cross-sectional average of the observations. We also develop a Lagrange multiplier (LM) test allowing for cross-sectional dependence and, under restrictive assumptions, compare our augmented KPSS test with the extended LM test under the null of stationarity, under the local alternative and under the fixed alternative, and discuss the differences between these two tests. We also extend our test to the more realistic case where the shocks are serially correlated. We use Monte Carlo simulations to examine the finite sample property of the augmented KPSS test.

Keywords: Panel data; stationarity; KPSS test; cross-sectional dependence; LM test; locally best test (search for similar items in EconPapers)
JEL-codes: C12 C33 (search for similar items in EconPapers)
Date: 2008-10
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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http://gcoe.ier.hit-u.ac.jp/research/discussion/2008/pdf/gd08-016.pdf (application/pdf)

Related works:
Working Paper: A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence (2009)
Working Paper: A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence (2008)
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Persistent link: https://EconPapers.repec.org/RePEc:hst:ghsdps:gd08-016

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