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A generalized nonlinear IV unit root test for panel data with cross-sectional dependence

Shaoping Wang, Peng Wang, Jisheng Yang and Zinai Li

Journal of Econometrics, 2010, vol. 157, issue 1, 101-109

Abstract: This paper proposes a unit root test for panel data with cross-sectional dependence. The test generalizes the nonlinear IV unit root test of Chang (2002) to the case where there exist some common factors in panels. The main idea is to eliminate the cross-sectional dependence through the method of principal components as in Bai and Ng (2004) and then apply Chang's test to the treated data. Under certain conditions, the proposed test is consistent and has a standard normal limiting distribution under the null hypothesis. Simulation results show that the proposed test compares favorably to other alternative tests.

Keywords: Panel; unit; root; test; Principal; components; Non-linear; instruments; Cross-sectional; dependence (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (4)

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Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson

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