On the use of panel unit root tests on cross-sectionally dependent data: an application to PPP
AbstractA 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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Bibliographic InfoPaper provided by European University Institute in its series Economics Working Papers with number ECO2003/24.
Date of creation: 2003
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panel data; nonstationarity; cross-sectional dependence; PPP;
Find related papers by JEL classification:
- F31 - International Economics - - International Finance - - - Foreign Exchange
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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- NEP-ALL-2003-11-30 (All new papers)
- NEP-ECM-2003-11-30 (Econometrics)
- NEP-ETS-2003-11-30 (Econometric Time Series)
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