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A Panic Attack on Unit Roots and Cointegration Author info | Abstract | Publisher info | Download info | Related research | Statistics Jushan Bai
Serena Ng
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This paper develops a new methodology that makes use of the factor structure of large dimensional panels to understand the nature of non-stationarity in the data We refer to it as PANIC - a 'Panel Analysis of Non-stationarity in Idiosyncratic and Common components' PANIC consists of univariate and panel tests with a number of novel features It can detect whether the nonstationarity is pervasive or variable-specific or both It tests the components of the data instead of the observed series Inference is therefore more accurate when the components have different orders of integration PANIC also permits the construction of valid panel tests even when cross-section correlation invalidates pooling of statistics constructed using the observed data The key to PANIC is consistent estimation of the components even when the regressions are individually spurious We provide a rigorous theory for estimation and inference In Monte Carlo simulations the tests have very good size and power PANIC is applied to a panel of inflation series
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Paper provided by The Johns Hopkins University,Department of Economics in its series Economics Working Paper Archive with number
469.
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Date of creation: Dec 2001Date of revision:
Handle: RePEc:jhu:papers:469Contact details of provider: Postal: 3400 North Charles Street Baltimore, MD 21218 Phone: 410-516-7601 Fax: 410-516-7600 Web page: http://www.econ.jhu.edu More information through EDIRC
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