JOURNAL OF THE JAPAN STATISTICAL SOCIETY
Online ISSN : 1348-6365
Print ISSN : 1882-2754
ISSN-L : 1348-6365
Articles
Likelihood-Based Specification Tests for Dynamic Factor Models
Masaru Chiba
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ジャーナル フリー

2013 年 43 巻 2 号 p. 91-125

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抄録
This paper proposes a series of specification tests of the dynamic factor model. The Granger non-causality, linear dependency, and omitted explanatory variables tests are presented. All of the tests can be constructed as a natural byproduct of the routine used to calculate the ``smoothed'' moments, and they do not require the estimation of additional parameters. The actual size and power of the tests are examined in Monte Carlo experiments. The tests are applied to the term structure model of a yield curve.
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© 2013 Japan Statistical Society
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