On the estimation and inference of a cointegrated regression in panel data

Chihwa Kao, Min Hsien Chiang

Research output: Chapter in Book/Report/Conference proceedingChapter

758 Scopus citations

Abstract

In this chapter, we study the asymptotic distributions for ordinary least squares (OLS), fully modified OLS (FMOLS), and dynamic OLS (DOLS) estimators in cointegrated regression models in panel data. We show that the OLS, FMOLS, and DOLS estimators are all asymptotically normally distributed. However, the asymptotic distribution of the OLS estimator is shown to have a non-zero mean. Monte Carlo results illustrate the sampling behavior of the proposed estimators and show that (1) the OLS estimator has a non-negligible bias in finite samples, (2) the FMOLS estimator does not improve over the OLS estimator in general, and (3) the DOLS outperforms both the OLS and FMOLS estimators.

Original languageEnglish (US)
Title of host publicationNonstationary Panels, Panel Cointegration, and Dynamic Panels
PublisherJAI Press
Pages179-222
Number of pages44
ISBN (Print)0762306882, 9780762306886
DOIs
StatePublished - Jan 1 2000

Publication series

NameAdvances in Econometrics
Volume15
ISSN (Print)0731-9053

ASJC Scopus subject areas

  • Economics and Econometrics

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  • Cite this

    Kao, C., & Chiang, M. H. (2000). On the estimation and inference of a cointegrated regression in panel data. In Nonstationary Panels, Panel Cointegration, and Dynamic Panels (pp. 179-222). (Advances in Econometrics; Vol. 15). JAI Press. https://doi.org/10.1016/S0731-9053(00)15007-8