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  • Search: subject:"maximum-likelihood estimation under"
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Subject
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business cycle 3 macroeconomic series decomposition 3 maximum-likelihood estimation under 2 maximum-likelihood estimation under constraints 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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research-article 1
Language
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Undetermined 2 English 1
Author
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Blyth, Conrad 2 Reeves, Jonathan 2 Small, John 2 Triggs, Christopher 2 Blyth, Conrad A. 1 Reeves, Jonathan J. 1 Small, John P. 1 Triggs, Christopher M. 1
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Studies in Nonlinear Dynamics & Econometrics 3
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RePEc 2 Other ZBW resources 1
Showing 1 - 3 of 3
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The Hodrick-Prescott Filter, a Generalization, and a New Procedure for Extracting an Empirical Cycle from a Series
Reeves, Jonathan; Blyth, Conrad; Triggs, Christopher; … - In: Studies in Nonlinear Dynamics & Econometrics 4 (2007) 1, pp. 1-16
This paper proposes a novel derivation of the Hodrick-Prescott (HP) minimization problem which leads to a generalization of the Hodrick-Prescott filter. The main result is the development of a new filter to extract a localized maximum-likelihood estimate of the cycle from a series. This new...
Persistent link: https://www.econbiz.de/10005007682
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Cover Image
The Hodrick-Prescott Filter, a Generalization, and a New Procedure for Extracting an Empirical Cycle from a Series
Reeves, Jonathan J.; Blyth, Conrad A.; Triggs, … - In: Studies in Nonlinear Dynamics & Econometrics 4 (2000) 1
This paper proposes a novel derivation of the Hodrick-Prescott (HP) minimization problem which leads to a generalization of the Hodrick-Prescott filter. The main result is the development of a new filter to extract a localized maximum-likelihood estimate of the cycle from a series. This new...
Persistent link: https://www.econbiz.de/10014620823
Saved in:
Cover Image
The Hodrick-Prescott Filter, a Generalization, and a New Procedure for Extracting an Empirical Cycle from a Series
Reeves, Jonathan; Blyth, Conrad; Triggs, Christopher; … - In: Studies in Nonlinear Dynamics & Econometrics 4 (2000) 1, pp. 1-16
This paper proposes a novel derivation of the Hodrick-Prescott (HP) minimization problem which leads to a generalization of the Hodrick-Prescott filter. The main result is the development of a new filter to extract a localized maximum-likelihood estimate of the cycle from a series. This new...
Persistent link: https://www.econbiz.de/10005579871
Saved in:
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