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

Kao, Chihwa, Chiang, Min-Hsien·2004·Advances in Econometrics

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.

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Metadata

Authors
Kao, C., & Chiang, M.-H.
Venue
Advances in Econometrics
Published
2004-05-19
Pages
179-222
ISSN
0731-9053 (ISSN-L)
OpenAlex
W1566331826
Cited by
1,803
References
3
FWCI
111.78
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the estimation and inference of a cointegrated regression in panel data. https://app.cochat.ai/papers/10.1016/s0731-9053(00)15007-8
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Kao, C., & Chiang, M.-H. (2004). On the estimation and inference of a cointegrated regression in panel data. Advances in Econometrics. https://doi.org/10.1016/s0731-9053(00)15007-8

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