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System Priors for Econometric Time Series /

The paper introduces "system priors", their use in Bayesian analysis of econometric time series, and provides a simple and illustrative application. System priors were devised by Andrle and Benes (2013) as a tool to incorporate prior knowledge into an economic model. Unlike priors about in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Andrle, Michal (Autor), Plašil, Mirosla (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : International Monetary Fund, 2016.
Colección:IMF working paper ; WP/16/231.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a System Priors for Econometric Time Series /  |c by Michal Andrle and Miroslav Plašil. 
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300 |a 1 online resource (8 pages) 
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505 0 |a Cover; CONTENTS; Abstract; I. Introduction; II. System Priors; III. Example -- System Priors for an AR(2) Process; IV. Conclusion; V. Appendix: Pseudo Code for the Posterior Kernel; PSEUDO CODE:; FIGURES; 1. Parameter regions for different priors; 2. Model properties for admissible regions. 
520 3 |a The paper introduces "system priors", their use in Bayesian analysis of econometric time series, and provides a simple and illustrative application. System priors were devised by Andrle and Benes (2013) as a tool to incorporate prior knowledge into an economic model. Unlike priors about individual parameters, system priors offer a simple and efficient way of formulating well-defined and economically-meaningful priors about high-level model properties. The generality of system priors are illustrated using an AR(2) process with a prior that most of its dynamics comes from business-cycle frequencies 
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