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A New Look at Panel Testing of Stationarity and the PPP Hypothesis Author info | Abstract | Publisher info | Download info | Related research | Statistics Jushan Bai () (Boston College)
Serena Ng () (Johns Hopkins University)
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This paper uses a decomposition of the data into common and idiosyncratic components to develop procedures that test if these components satisfy the null hypothesis of stationarity. The decomposition also allows us to construct pooled tests that satisfy the cross-section independence assumption. In simulations, tests on the components separately generally have better properties than testing the observed series. However, the results are less than satisfactory, especially in comparison with similar procedures developed for unit root tests. The problem can be traced to the properties of the stationarity test, and is not due to the weakness of the common-idiosyncratic decomposition. We apply both panel stationarity and unit root tests to real exchange rates. We found evidence in support of a large stationary common factor. Rejections of PPP are likely due to non-stationarity of country-specific variations.
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Paper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number
518.
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Length: 27 pages
Date of creation: 01 Oct 2001Date of revision:
Handle: RePEc:boc:bocoec:518Contact details of provider: Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Phone: 617-552-3670 Fax: +1-617-552-2308 Email: Web page: http://fmwww.bc.edu/EC/ More information through EDIRC
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Keywords: Common factors common trends principal components unit root cointegration Other versions of this item:
Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002.
"A Principal Components Approach to Cross-Section Dependence in Panels ,"
10th International Conference on Panel Data, Berlin, July 5-6, 2002
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Jushan Bai; Josep LluÃs Carrion-i-Silvestre, 2004.
"Structural changes, common stochastic trends and unit roots in panel data ,"
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