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

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Author Info
Kristian Jönsson

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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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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics Letters.

Volume (Year): 12 (2005)
Issue (Month): 14 (November)
Pages: 899-905
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Handle: RePEc:taf:apeclt:v:12:y:2005:i:14:p:899-905

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  1. Quah, D., 1993. "Exploiting Cross Section Variation for Unit Root Inference in Dynamic Data," Papers 549, Stockholm - International Economic Studies.
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  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 277-80, July.
  3. Andrew Levin & Chien-Fu Lin, 1993. "Unit Root Tests in Panel Data: New Results," University of California at San Diego, Economics Working Paper Series 93-56, Department of Economics, UC San Diego. [Downloadable!]
  4. Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
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This page was last updated on 2009-12-5.


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