A Dynamic OLS Estimator for Panel Cointegration With Global Stochastic Trends and Heterogeneous Panel

Jun Liu, Qian Lin

Research output: Contribution to conferencePresentation

Abstract

This paper studies the estimation of panel cointegration models with cross-sectional dependence generated by unobserved global stochastic trends. We extend the CupFM (continuously updated and fully modified) estimators studied by Bai et al. (2009) by allowing cross-sectional heterogeneity. To remove the endogeneity caused by the cointegrated triangular system, we consider the Continuously Updated Dynamic OLS (CupDOLS). The consistent limiting distribution of the estimators is derived.

Original languageAmerican English
StatePublished - Aug 3 2011
EventJoint Statistical Meetings -
Duration: Aug 3 2011 → …

Conference

ConferenceJoint Statistical Meetings
Period08/3/11 → …

Disciplines

  • Business Administration, Management, and Operations
  • Operations and Supply Chain Management

Keywords

  • Cross-sectional dependence
  • Cross-sectional heterogeneity
  • Dynamic OLS estimator
  • Factor analysis
  • Fully-modified estimator
  • Panel cointegration

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