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Generalized fixed‐T panel unit root tests

Author

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  • Yiannis Karavias
  • Elias Tzavalis

Abstract

Panel data unit root tests, which can be applied to data that do not have many time series observations, are based on very restrictive error and deterministic component specification assumptions. In this paper, we develop a new, doubly modified estimator, based on which we propose a panel unit root test that allows for multiple structural breaks, linear and nonlinear trends, heteroscedasticity, serial correlation, and error cross‐section heterogeneity, when the number of time series observations is finite. The test has the additional perk that it is invariant to the initial condition.

Suggested Citation

  • Yiannis Karavias & Elias Tzavalis, 2019. "Generalized fixed‐T panel unit root tests," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 46(4), pages 1227-1251, December.
    • Handle: RePEc:bla:scjsta:v:46:y:2019:i:4:p:1227-1251
    DOI: 10.1111/sjos.12392
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    Cited by:

    1. Yiannis Karavias & Stella Spilioti & Elias Tzavalis, 2021. "Investor sentiment effects on share price deviations from their intrinsic values based on accounting fundamentals," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1593-1621, May.
    2. Karavias, Yiannis & Tzavalis, Elias, 2013. "The Power Performance of Fixed-T Panel Unit Root Tests allowing for Structural Breaks," MPRA Paper 46012, University Library of Munich, Germany.
    3. Stylianos Asimakopoulos & Filipa Da Silva Fernandes & Yiannis Karavias, 2020. "Firm Heterogeneity and Trade Credit Behaviour," Discussion Papers 20-20, Department of Economics, University of Birmingham.

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