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Likelihood-Based Cointegration Analysis in Panels of Vector Error-Correction Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Groen, Jan J J
Kleibergen, Frank
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We propose a likelihood-based framework for cointegration analysis in panels of a fixed number of vector error-correction (VEC) models. We obtain likelihood ratio statistics to test for a common cointegration rank across the individual VEC models with both heterogeneous and homogeneous cointegrating vectors. Their limiting distributions are a summation of the limiting behavior of Johansen trace statistics. We extend the asymptotic distribution theory to cover the case of an infinite cross-sectional dimension. We apply the framework to a dataset of exchange rates and appropriate monetary fundamentals. We find evidence for the validity of the monetary exchange rate model within a panel of VEC models for three major European countries, whereas the results based on individual VEC models for each of these countries separately are less supportive.
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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics .
Volume (Year): 21 (2003)
Issue (Month): 2 (April)
Pages: 295-318
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Handle: RePEc:bes:jnlbes:v:21:y:2003:i:2:p:295-318Contact details of provider: Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
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