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Panel Cointegration with Global Stochastic Trends Author info | Abstract | Publisher info | Download info | Related research | Statistics Jushan Bai () (Department of Economics, New York University, Newe York, New York 10003 USA, and School of Economics and Management, Tsinghua University)
Chihwa Kao () (Center for Policy Research, Maxwell School, Syracuse University, Syracuse, NY 13244-1020)
Serena Ng () (Department of Economics, University of Michigan, Ann Arbor, MI 48109, USA)
Additional information is available for the following
registered author(s):
This paper studies estimation of panel cointegration models with cross-sectional dependence generated by unobserved global stochastic trends. The standard least squares estimator is, in general, inconsistent owing to the spuriousness induced by the unobservabla I(1) trends. We propose two iterative procedures that jointly estimate the slope parameters and the stochastic trends. The resulting estimators are referred to respectively as CupBC (continuously updated and bias-corrected) and the CupFM (continuously updated and fully modified) estimators. We establish their consistency and derive their limiting distributions. Both are asymptotically unbiased and asymptotically normal and permit inference to be conducted using standard test statistics. The estimates are also valid when there are mixed stationary and non-stationary factors, as well as when the factors are all stationary.
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Paper provided by Center for Policy Research, Maxwell School, Syracuse University in its series Center for Policy Research Working Papers with number
90.
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Length: 86 pages
Date of creation: Jan 2007Date of revision:
Handle: RePEc:max:cprwps:90Contact details of provider: Postal: 426 Eggers Hall, Syracuse, New York USA 13244-1020 Phone: (315) 443-3114 Fax: (315) 443-1081 Email: Web page: http://www-cpr.maxwell.syr.edu More information through EDIRC
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Find related papers by JEL classification: C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
This paper has been announced in the following NEP Reports :
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Anindya Banerjee & Massimiliano Marcellino, 2008.
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