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Erscheinungsjahr: 
2019
Quellenangabe: 
[Journal:] Quantitative Economics [ISSN:] 1759-7331 [Volume:] 10 [Issue:] 3 [Publisher:] The Econometric Society [Place:] New Haven, CT [Year:] 2019 [Pages:] 981-1017
Verlag: 
The Econometric Society, New Haven, CT
Zusammenfassung: 
We exploit the rationale behind the Expectation Maximization algorithm to derive simple to implement and interpret LM normality tests for the innovations of the latent variables in linear state space models against generalized hyperbolic alternatives, including symmetric and asymmetric Student ts. We decompose our tests into third and fourth moment components, and obtain one-sided likelihood ratio analogues, whose asymptotic distribution we provide. When we apply our tests to a common trend model which combines the expenditure and income versions of US aggregate real output to improve its measurement, we reject normality if the sample period extends beyond the Great Moderation.
Schlagwörter: 
Cointegration
gross domestic product
gross domestic income
kurtosis
Kuhn-Tucker test
skewness
supremum test
Wiener-Kolmogorov-Kalman smoother
JEL: 
C32
C52
E01
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