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On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence
2005
Social Science Research Network
Most of the existing literature on panel data cointegration assumes crosssectional independence, an assumption that is difficult to satisfy. This paper studies panel cointegration under cross-sectional dependence, which is characterized by a factor structure. We derive the limiting distribution of a fully modified estimator for the panel cointegrating coefficients. We also propose a continuousupdated fully modified (CUP-FM) estimator. Monte Carlo results show that the CUP-FM estimator has
doi:10.2139/ssrn.1815227
fatcat:l26fpibirjb6haqdlb43kl3tee