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Johansen’s Reduced Rank Estimator Is GMM

Department of Economics, University of Wisconsin, Madison, WI 53706, USA
Econometrics 2018, 6(2), 26;
Received: 30 January 2018 / Revised: 9 March 2018 / Accepted: 16 May 2018 / Published: 18 May 2018
(This article belongs to the Special Issue Celebrated Econometricians: Katarina Juselius and Søren Johansen)
The generalized method of moments (GMM) estimator of the reduced-rank regression model is derived under the assumption of conditional homoscedasticity. It is shown that this GMM estimator is algebraically identical to the maximum likelihood estimator under normality developed by Johansen (1988). This includes the vector error correction model (VECM) of Engle and Granger. It is also shown that GMM tests for reduced rank (cointegration) are algebraically similar to the Gaussian likelihood ratio tests. This shows that normality is not necessary to motivate these estimators and tests. View Full-Text
Keywords: GMM; VECM; reduced rank GMM; VECM; reduced rank
MDPI and ACS Style

Hansen, B.E. Johansen’s Reduced Rank Estimator Is GMM. Econometrics 2018, 6, 26.

AMA Style

Hansen BE. Johansen’s Reduced Rank Estimator Is GMM. Econometrics. 2018; 6(2):26.

Chicago/Turabian Style

Hansen, Bruce E. 2018. "Johansen’s Reduced Rank Estimator Is GMM" Econometrics 6, no. 2: 26.

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