A Monte Carlo exercise demonstrates the different size distortions that two of the most commonly used panel unit root tests have when the sections of the panel are affected by correlated errors, when they are cointegrated, or both. For a specific form of sectional correlation, the limiting distribution is derived and asymptotic normality of the test statistic is established. To determine the nature of contemporaneous cross-sectional correlation in real data, covariance matrix estimation techniques are discussed and an appropriate bootstrap method for the estimation of standard errors is suggested. In an application to a panel of real exchange rates it is found that both aforementioned dependencies are present, and therefore the results of panel unit root tests if applied at all should be interpreted accordingly.
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Paper provided by European University Institute in its series Economics Working Papers with number
ECO2003/24.
Length: Date of creation: 2003 Date of revision: Handle: RePEc:eui:euiwps:eco2003/24
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Find related papers by JEL classification: F31 - International Economics - - International Finance - - - Foreign Exchange C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
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