Testing for Cointegrating Rank via Model Selection: Evidence from 165 Data Sets
AbstractThe model selection approach has been proposed as an alternative to the popular tests for cointegration such as the residual-based ADF test and the system-based trace test. Using information criteria, we conduct cointegration tests on 165 data sets used in published studies. The empirical results demonstrate the usefulness of the model selection approach for applied researchers.
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Bibliographic InfoPaper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number 83.
Length: 18 pages
Date of creation: Jul 2006
Date of revision:
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Other versions of this item:
- Badi Baltagi & Zijun Wang, 2007. "Testing for Cointegrating Rank Via Model Selection: Evidence From 165 Data Sets," Empirical Economics, Springer, vol. 33(1), pages 41-49, July.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-10-07 (All new papers)
- NEP-ECM-2006-10-07 (Econometrics)
- NEP-ETS-2006-10-07 (Econometric Time Series)
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