A criterion for the number of factors
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Authors
den Reijer, Ard H. J.
Jacobs, Jan P. A. M.
Otter, Pieter W.
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Taylor & Francis Group
Abstract
This note proposes a new criterion for the determination of the number of factors in an approximate static factor model. The criterion is strongly associated with the scree test and compares the differences between consecutive eigenvalues to a threshold. The size of the threshold is derived from a hyperbola and depends only on the sample size and the number of factors k. Monte Carlo simulations compare its properties with well-established estimators from the literature. Our criterion shows similar results as the standard implementations of these estimators, but is not prone to a lack of robustness against a too large a priori determined maximum number of factors kmax.
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Ard H. J. den Reijer, Jan P. A. M. Jacobs & Pieter W. Otter (2020): A criterion for the number of factors, Communications in Statistics - Theory and Methods, DOI: 10.1080/03610926.2020.1713376
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Communications in Statistics: Theory and Methods
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Open Access
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Commons Attribution-NonCommercial-NoDerivatives License