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Consistent Estimation of the Number of Dynamic Factors in a Large N and T Panel

Consistent Estimation of the Number of Dynamic Factors in a Large N and T Panel Bai and Ng proposed a consistent estimator for the number of static factors in a large N and T approximate factor model. This article shows how the Bai–Ng estimator can be modified to consistently estimate the number of dynamic factors in a restricted dynamic factor model. The modification is straightforward: The standard Bai–Ng estimator is applied to residuals obtained by projecting the observed data onto lagged values of principal-components estimates of the static factors. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Business & Economic Statistics Taylor & Francis

Consistent Estimation of the Number of Dynamic Factors in a Large N and T Panel

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References (17)

Publisher
Taylor & Francis
Copyright
© American Statistical Association
ISSN
1537-2707
eISSN
0735-0015
DOI
10.1198/073500106000000585
Publisher site
See Article on Publisher Site

Abstract

Bai and Ng proposed a consistent estimator for the number of static factors in a large N and T approximate factor model. This article shows how the Bai–Ng estimator can be modified to consistently estimate the number of dynamic factors in a restricted dynamic factor model. The modification is straightforward: The standard Bai–Ng estimator is applied to residuals obtained by projecting the observed data onto lagged values of principal-components estimates of the static factors.

Journal

Journal of Business & Economic StatisticsTaylor & Francis

Published: Jan 1, 2007

Keywords: Approximate factor model; Bai–Ng estimator; Dynamic factor model

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