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Testing for unit roots in three-dimensional heterogeneous panels in the presence of cross-sectional dependence

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  • Giulietti, Monica
  • Otero, Jesús
  • Smith, Jeremy

Abstract

The cross-sectionally augmented IPS (CIPS) test of Pesaran (2007) is extended for a three-dimensional (3D) panel. This 3D-CIPS test is correctly sized. However, a bootstrapped IPS test has better power performance than the 3D-CIPS, except for high levels of cross-sectional dependency.

Suggested Citation

  • Giulietti, Monica & Otero, Jesús & Smith, Jeremy, 2008. "Testing for unit roots in three-dimensional heterogeneous panels in the presence of cross-sectional dependence," Economics Letters, Elsevier, vol. 101(3), pages 188-192, December.
    • Handle: RePEc:eee:ecolet:v:101:y:2008:i:3:p:188-192
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    References listed on IDEAS

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    Cited by:

    1. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2013. "Modelling the behaviour of unemployment rates in the US over time and across space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5711-5722.
    2. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    3. Hsu Shih-Hsun, 2021. "Disentangling the source of non-stationarity in a panel of seasonal data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-18, February.

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    More about this item

    Keywords

    Heterogeneous dynamic panels Unit roots Cross-sectional dependence;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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