LEADER 03093nam 2200589Ia 450 001 9910809415903321 005 20200520144314.0 010 $a1-4623-6190-0 010 $a1-4527-1583-1 010 $a1-283-51769-8 010 $a9786613830142 010 $a1-4519-9202-5 035 $a(CKB)3360000000443939 035 $a(EBL)3014539 035 $a(SSID)ssj0000942124 035 $a(PQKBManifestationID)11582406 035 $a(PQKBTitleCode)TC0000942124 035 $a(PQKBWorkID)10971517 035 $a(PQKB)10551543 035 $a(OCoLC)694141244 035 $a(MiAaPQ)EBC3014539 035 $a(IMF)WPIEE2006197 035 $a(EXLCZ)993360000000443939 100 $a20060622d2006 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMeasures of underlying inflation in the Euro area $eassessment and role for informing monetary policy /$fprepared by Emil Stavrev 205 $a1st ed. 210 $a[Washington, D.C.] $cInternational Monetary Fund, Research Dept.$dc2006 215 $a1 online resource (37 p.) 225 1 $aIMF working paper ;$vWP/06/197 300 $a"August 2006." 311 $a1-4518-6457-4 320 $aIncludes bibliographical references. 327 $a""Contents""; ""I. INTRODUCTION""; ""II. TAXONOMY OF UNDERLYING INFLATION INDICATORS""; ""III. FEATURES OF THE INDICATORS""; ""IV. FORECASTING METHODOLOGY AND ASSESSMENT OF FORECASTING PERFORMANCE""; ""V. CONCLUDING REMARKS""; ""References"" 330 3 $aThe paper evaluates the 24-month ahead inflation forecasting performance of various indicators of underlying inflation and structural models. The inflation forecast errors resulting from model misspecification are larger than the errors resulting from forecasting of exogenous variables. Also, measures derived using the generalized dynamic factor model (GDFM) overperform other measures over the monetary policy horizon and are leading indicators of headline inflation. Trimmed means, although weaker than GDFM indicators, have good forecasting performance, while indicators by permanent exclusion underperform but provide useful information about short-term dynamics. The forecasting performance of theoretically-founded models that relate monetary aggregates, the output gap, and inflation improves with the time horizon but generally falls short of that of the GDFM. A composite measure of underlying inflation, derived by averaging the statistical indicators and the model-based estimates, improves forecast accuracy by eliminating bias and offers valuable insight about the distribution of risks. 410 0$aIMF working paper ;$vWP/06/197. 606 $aInflation (Finance)$zEurope 606 $aMonetary policy$zEurope 615 0$aInflation (Finance) 615 0$aMonetary policy 700 $aStavrev$b Emil$01594423 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910809415903321 996 $aMeasures of Underlying Inflation in the Euro Area$94127193 997 $aUNINA