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Time-specific disturbances and cross-sectional dependency in a small-sample heterogeneous panel data unit root test

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  • Kristian Jonsson

Abstract

In their seminal work, Im et al. (1997, 2003) suggested that time series for several cross-sectional units could be used to increase the power of the Dickey--Fuller unit root test. They argued that when cross-sectional correlation is a problem that can be modelled by a time-specific factor, demeaning across the cross-sectional units can solve the problem. In this study, this proposition is proven valid, but it is also shown that previously supplied standardizing moments are inappropriate when the number of cross-sections are small, causing size to differ from the significance level. To correct this size distortion, the current paper supplies response surface parameters that can be used to obtain moments that are valid when a time-specific factor suffices for modelling cross-sectional correlation in the heterogeneous panel data unit root framework. The correct size of the panel data unit root test comes at the cost of a somewhat lower power against a stationary alternative.

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  • Kristian Jonsson, 2006. "Time-specific disturbances and cross-sectional dependency in a small-sample heterogeneous panel data unit root test," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1309-1317.
    • Handle: RePEc:taf:applec:v:38:y:2006:i:11:p:1309-1317
    DOI: 10.1080/00036840500397671
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    References listed on IDEAS

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    1. Josep LluIs Carrion-I-Silvestre & Tomas Del Barrio & Enrique Lopez-Bazo, 2004. "Evidence on the purchasing power parity in a panel of cities," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 961-966.
    2. Jörg Breitung & Samarjit Das, 2005. "Panel unit root tests under cross‐sectional dependence," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 414-433, November.
    3. Jönsson, Kristian, 2004. "Testing for Stationarity in Panel Data Models when Disturbances are Cross-Sectionally Correlated," Working Papers 2004:17, Lund University, Department of Economics, revised 26 Nov 2004.
    4. Chang, Yoosoon, 2004. "Bootstrap unit root tests in panels with cross-sectional dependency," Journal of Econometrics, Elsevier, vol. 120(2), pages 263-293, June.
    5. Chang, Yoosoon, 2002. "Nonlinear IV unit root tests in panels with cross-sectional dependency," Journal of Econometrics, Elsevier, vol. 110(2), pages 261-292, October.
    6. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    7. Hsiu-Yun Lee & Jyh-Lin Wu, 2004. "Convergence of interest rates around the Pacific Rim," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1281-1288.
    8. Strauss, Jack & Yigit, Taner, 2003. "Shortfalls of panel unit root testing," Economics Letters, Elsevier, vol. 81(3), pages 309-313, December.
    9. Quah, Danny, 1994. "Exploiting cross-section variation for unit root inference in dynamic data," Economics Letters, Elsevier, vol. 44(1-2), pages 9-19.
    10. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    11. Mark Holmes, 2002. "Panel data evidence on inflation convergence in the European Union," Applied Economics Letters, Taylor & Francis Journals, vol. 9(3), pages 155-158.
    12. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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