LEADER 02868oam 22006614 450 001 9910155202503321 005 20230808200829.0 010 $a1-4755-5584-9 010 $a1-4755-5591-1 035 $a(CKB)3710000000973900 035 $a(MiAaPQ)EBC4771896 035 $a(IMF)WPIEA2016231 035 $a(EXLCZ)993710000000973900 100 $a20020129d2016 uf 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSystem Priors for Econometric Time Series /$fMichal Andrle, Miroslav Pla?il 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2016. 215 $a1 online resource (19 pages) $cillustrations 225 1 $aIMF Working Papers 311 $a1-4755-5582-2 320 $aIncludes bibliographical references. 330 3 $aThe paper introduces ?system priors?, their use in Bayesian analysis of econometric time series, and provides a simple and illustrative application. System priors were devised by Andrle and Benes (2013) as a tool to incorporate prior knowledge into an economic model. Unlike priors about individual parameters, system priors offer a simple and efficient way of formulating well-defined and economically-meaningful priors about high-level model properties. The generality of system priors are illustrated using an AR(2) process with a prior that most of its dynamics comes from business-cycle frequencies. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2016/231 606 $aEconometrics 606 $aMacroeconomics$2imf 606 $aBayesian Analysis: General$2imf 606 $aModel Construction and Estimation$2imf 606 $aMethodological Issues: General$2imf 606 $aTime-Series Models$2imf 606 $aDynamic Quantile Regressions$2imf 606 $aDynamic Treatment Effect Models$2imf 606 $aDiffusion Processes$2imf 606 $aPrices, Business Fluctuations, and Cycles: General (includes Measurement and Data)$2imf 606 $aEconomic growth$2imf 606 $aBusiness cycles$2imf 615 0$aEconometrics. 615 7$aMacroeconomics 615 7$aBayesian Analysis: General 615 7$aModel Construction and Estimation 615 7$aMethodological Issues: General 615 7$aTime-Series Models 615 7$aDynamic Quantile Regressions 615 7$aDynamic Treatment Effect Models 615 7$aDiffusion Processes 615 7$aPrices, Business Fluctuations, and Cycles: General (includes Measurement and Data) 615 7$aEconomic growth 615 7$aBusiness cycles 700 $aAndrle$b Michal$01197035 701 $aPla?il$b Miroslav$01450549 801 0$bDcWaIMF 906 $aBOOK 912 $a9910155202503321 996 $aSystem Priors for Econometric Time Series$93649968 997 $aUNINA