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Cointegration in Panel Data with Breaks and Cross-Section Dependence Author info | Abstract | Publisher info | Download info | Related research | Statistics Anindya Banerjee
Josep Lluís Carrion-i-Silvestre
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The power of standard panel cointegration statistics may be affected by misspecification errors if proper account is not taken of the presence of structural breaks in the data. We propose modifications to allow for one structural break when testing the null hypothesis of no cointegration that retain good properties in terms of empirical size and power. Response surfaces to approximate the finite sample moments that are required to implement the statistics are provided. Since panel cointegration statistics rely on the assumption of cross-section independence, a generalisation of the tests to the common factor framework is carried out in order to allow for dependence among the units of the panel.
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Paper provided by European University Institute in its series Economics Working Papers with number
ECO2006/5.
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Date of creation: 2006Date of revision:
Handle: RePEc:eui:euiwps:eco2006/5Contact details of provider: Postal: Badia Fiesolana, Via dei Roccettini, 9, 50016 San Domenico di Fiesole (FI) Italy Phone: +39-055-4685.982 Fax: +39-055-4685.902 Web page: http://www.eui.eu/ECO/ More information through EDIRC
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Keywords: Panel cointegration ; structural break ; common factors ; cross-section dependence ; Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
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