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[null,"1.","Record Nr.",null,"UNINA9910155202503321"]
[null,null,"Autore",null,"Andrle Michal"]
[null,null,"Titolo",null,"System Priors for Econometric Time Series / / Michal Andrle, Miroslav Plašil"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : International Monetary Fund, , 2016"]
[null,null,"ISBN",null,"9781475555844"]
[{"$nulls":4},"1475555849"]
[{"$nulls":4},"9781475555912"]
[{"$nulls":4},"1475555911"]
[null,null,"Descrizione fisica",null,"1 online resource (19 pages) : illustrations"]
[null,null,"Collana",null,"IMF Working Papers"]
[null,null,"Soggetti",null,"Econometrics"]
[{"$nulls":4},"Macroeconomics"]
[{"$nulls":4},"Bayesian Analysis: General"]
[{"$nulls":4},"Model Construction and Estimation"]
[{"$nulls":4},"Methodological Issues: General"]
[{"$nulls":4},"Time-Series Models"]
[{"$nulls":4},"Dynamic Quantile Regressions"]
[{"$nulls":4},"Dynamic Treatment Effect Models"]
[{"$nulls":4},"Diffusion Processes"]
[{"$nulls":4},"Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)"]
[{"$nulls":4},"Economic growth"]
[{"$nulls":4},"Business cycles"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"its dynamics comes from business-cycle frequencies."]