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Testing for Unit Roots in Short Dynamic Panels with Serially Correlated and Heteroscedastic Disturbance Terms

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Author Info
Hugo Kruiniger () (Queen Mary, University of London)
Elias Tzavalis () (Queen Mary, University of London)

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Abstract

In this paper we introduce fixed-T unit root tests for panel data models with serially correlated and heteroscedastic disturbance terms. The tests are based on pooled least squares estimators for the autoregressive coefficient of the AR(1) panel model adjusted for their inconsistency. The proposed test statistics have normal limiting distributions when the cross-section dimension of the panel grows large, provided a condition involving the 4+δ-th order moments of the first differences of the data is satisfied. Monte Carlo evidence suggests that the tests have empirical size close to the nominal level and considerable power, even for MA(1) disturbance terms which exhibit strong negative autocorrelation.

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Paper provided by Queen Mary, University of London, Department of Economics in its series Working Papers with number 459.

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Date of creation: Jun 2002
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Handle: RePEc:qmw:qmwecw:wp459

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Related research
Keywords: Panel data Unit roots Serial correlation Heteroscedasticity Central limit theorem

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Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data

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Cited by:
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  1. Edith Madsen, 2003. "Unit root inference in panel data models where the time-series dimension is fixed: A comparison of different tests," CAM Working Papers 2003-13, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics. [Downloadable!]
  2. Giannetti, C., 2008. "Unit Roots and the Dynamics of Market Shares: An Analysis Using Italian Banking Micro-Panel," Discussion Paper 2008-44, Tilburg University, Center for Economic Research. [Downloadable!]
  3. Steve Bond & Céline Nauges & Frank Windmeijer, 2005. "Unit roots: identification and testing in micro panels," CeMMAP working papers CWP07/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
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