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Cross-sectional and serial correlation in a small-sample homogeneous panel data unit root test

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  • Kristian Jonsson

Abstract

In this paper, response surface parameters are provided that can be used to obtain critical values for an augmentation of an existing homogeneous panel data unit root test. The augmentation is performed to account for serial correlation in the disturbances. As the existing panel data unit root test is robust against cross-sectional correlation, the augmented test is robust against both cross-sectional and serial correlation. By running a Monte Carlo simulation study, the small-sample properties of the augmented test are shown to be good.

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  • Kristian Jonsson, 2005. "Cross-sectional and serial correlation in a small-sample homogeneous panel data unit root test," Applied Economics Letters, Taylor & Francis Journals, vol. 12(14), pages 899-905.
    • Handle: RePEc:taf:apeclt:v:12:y:2005:i:14:p:899-905
    DOI: 10.1080/13504850500359510
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    1. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    2. Cheung, Yin-Wong & Lai, Kon S, 1995. "Lag Order and Critical Values of the Augmented Dickey-Fuller Test," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 277-280, July.
    3. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    4. Quah, Danny, 1994. "Exploiting cross-section variation for unit root inference in dynamic data," Economics Letters, Elsevier, vol. 44(1-2), pages 9-19.
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