LEADER 01032nam0-22003371i-450- 001 990007787220403321 005 20151125094731.0 010 $a88-14-08782-2 035 $a000778722 035 $aFED01000778722 035 $a(Aleph)000778722FED01 035 $a000778722 100 $a20030814d2001----km-y0itay50------ba 101 0 $aita 200 1 $a<>nuova legge marchi$eCommento articolo per articolo della legge marchi e delle disposizioni transitorie del d.lgs.n.480/92$fAdriano Vanzetti, Cesare Galli 205 $a2. ed. aggiornata con i D.lgs.nn.198/96 e 447/99 210 $aMilano$cGiuffrè$d2001 215 $a435 p.$d22 cm 610 0 $aMarchio 676 $a346.07 700 1$aVanzetti,$bAdriano$0132947 701 1$aGalli,$bCesare$0237462 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007787220403321 952 $aDPR 19/B-308$b19202$fDEC 952 $a12-B-143$b12001/a$fDDCP 959 $aDEC 959 $aDDCP 996 $aNuova legge marchi$9662806 997 $aUNINA LEADER 04953oam 22012734 450 001 9910788226903321 005 20230721045721.0 010 $a1-4623-4466-6 010 $a1-4518-7349-2 010 $a9786612844096 010 $a1-4527-6923-0 010 $a1-282-84409-1 035 $a(CKB)3170000000055349 035 $a(SSID)ssj0000940071 035 $a(PQKBManifestationID)11491949 035 $a(PQKBTitleCode)TC0000940071 035 $a(PQKBWorkID)10946531 035 $a(PQKB)11326867 035 $a(OCoLC)648819742 035 $a(MiAaPQ)EBC1608830 035 $a(IMF)WPIEE2009202 035 $a(EXLCZ)993170000000055349 100 $a20020129d2009 uf 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBenchmark Priors Revisited : $eOn Adaptive Shrinkage and the Supermodel Effect in Bayesian Model Averaging /$fMartin Feldkircher, Stefan Zeugner 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2009. 215 $a39 p. $ccol. ill 225 1 $aIMF Working Papers 300 $a"September 2009." 311 $a1-4519-1771-6 320 $aIncludes bibliographical references. 330 3 $aDefault prior choices fixing Zellner's g are predominant in the Bayesian Model Averaging literature, but tend to concentrate posterior mass on a tiny set of models. The paper demonstrates this supermodel effect and proposes to address it by a hyper-g prior, whose data-dependent shrinkage adapts posterior model distributions to data quality. Analytically, existing work on the hyper-g-prior is complemented by posterior expressions essential to fully Bayesian analysis and to sound numerical implementation. A simulation experiment illustrates the implications for posterior inference. Furthermore, an application to determinants of economic growth identifies several covariates whose robustness differs considerably from previous results. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2009/202 606 $aBayesian statistical decision theory 606 $aEconomic development$xMathematical models 606 $aEconometrics$2imf 606 $aInflation$2imf 606 $aLabor$2imf 606 $aPublic Finance$2imf 606 $aData Processing$2imf 606 $aBayesian Analysis: General$2imf 606 $aData Collection and Data Estimation Methodology$2imf 606 $aComputer Programs: General$2imf 606 $aNational Government Expenditures and Related Policies: Infrastructures$2imf 606 $aOther Public Investment and Capital Stock$2imf 606 $aHuman Capital$2imf 606 $aSkills$2imf 606 $aOccupational Choice$2imf 606 $aLabor Productivity$2imf 606 $aPrice Level$2imf 606 $aDeflation$2imf 606 $aBayesian inference$2imf 606 $aData capture & analysis$2imf 606 $aPublic finance & taxation$2imf 606 $aLabour$2imf 606 $aincome economics$2imf 606 $aMacroeconomics$2imf 606 $aBayesian models$2imf 606 $aData processing$2imf 606 $aPublic investment and public-private partnerships (PPP)$2imf 606 $aHuman capital$2imf 606 $aEconometric models$2imf 606 $aElectronic data processing$2imf 606 $aPublic-private sector cooperation$2imf 606 $aPrices$2imf 615 0$aBayesian statistical decision theory. 615 0$aEconomic development$xMathematical models. 615 7$aEconometrics 615 7$aInflation 615 7$aLabor 615 7$aPublic Finance 615 7$aData Processing 615 7$aBayesian Analysis: General 615 7$aData Collection and Data Estimation Methodology 615 7$aComputer Programs: General 615 7$aNational Government Expenditures and Related Policies: Infrastructures 615 7$aOther Public Investment and Capital Stock 615 7$aHuman Capital 615 7$aSkills 615 7$aOccupational Choice 615 7$aLabor Productivity 615 7$aPrice Level 615 7$aDeflation 615 7$aBayesian inference 615 7$aData capture & analysis 615 7$aPublic finance & taxation 615 7$aLabour 615 7$aincome economics 615 7$aMacroeconomics 615 7$aBayesian models 615 7$aData processing 615 7$aPublic investment and public-private partnerships (PPP) 615 7$aHuman capital 615 7$aEconometric models 615 7$aElectronic data processing 615 7$aPublic-private sector cooperation 615 7$aPrices 700 $aFeldkircher$b Martin$01509596 701 $aZeugner$b Stefan$01509597 712 02$aInternational Monetary Fund.$bFinance Dept. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910788226903321 996 $aBenchmark Priors Revisited$93741573 997 $aUNINA