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

Shaoping Wang*, Peng Wang, Jisheng Yang, Zinai Li

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)101-109
Number of pages9
JournalJournal of Econometrics
Volume157
Issue number1
DOIs
Publication statusPublished - Jul 2010

Keywords

  • Cross-sectional dependence
  • Non-linear instruments
  • Panel unit root test
  • Principal components

Fingerprint

Dive into the research topics of 'A generalized nonlinear IV unit root test for panel data with cross-sectional dependence'. Together they form a unique fingerprint.

Cite this