LEADER 03933oam 22010094 450 001 9910788411303321 005 20230828232556.0 010 $a1-4623-6090-4 010 $a1-4527-2592-6 010 $a1-283-07108-8 010 $a9786613823304 010 $a1-4519-8820-6 035 $a(CKB)3360000000443329 035 $a(EBL)3014428 035 $a(SSID)ssj0000943307 035 $a(PQKBManifestationID)11584502 035 $a(PQKBTitleCode)TC0000943307 035 $a(PQKBWorkID)10975622 035 $a(PQKB)11602801 035 $a(OCoLC)694141076 035 $a(MiAaPQ)EBC3014428 035 $a(IMF)WPIEE2006181 035 $a(EXLCZ)993360000000443329 100 $a20020129d2006 uf 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe Difference Between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes /$fSaeed Heravi, Mick Silver 210 1$aWashington, D.C. :$cInternational Monetary Fund,$d2006. 215 $a1 online resource (20 p.) 225 1 $aIMF Working Papers 300 $a"July 2006". 311 $a1-4518-6441-8 327 $a""Contents""; ""I. INTRODUCTION""; ""II. HEDONIC INDEXES""; ""III. WHY HEDONIC IMPUTATION AND DUMMY TIME HEDONIC INDEXES DIFFER""; ""IV. CHOICE BETWEEN HEDONIC INDEXES AND DUMMY TIME HEDONIC INDEXES""; ""V. CONCLUSIONS""; ""References"" 330 3 $aStatistical offices try to match item models when measuring inflation between two periods. For product areas with a high turnover of differentiated models, however, the use of hedonic indexes is more appropriate since they include the prices and quantities of unmatched new and old models. The two main approaches to hedonic indexes are hedonic imputation (HI) indexes and dummy time hedonic (DTH) indexes. This study provides a formal analysis of the difference between the two approaches for alternative implementations of the Törnqvist "superlative" index. It shows why the results may differ and discusses the issue of choice between these approaches. 410 0$aIMF Working Papers; Working Paper ;$vNo. 2006/181 606 $aInflation (Finance) 606 $aPrice indexes 606 $aInvestments: Metals$2imf 606 $aFinance: General$2imf 606 $aMacroeconomics$2imf 606 $aPrice Level$2imf 606 $aInflation$2imf 606 $aDeflation$2imf 606 $aMetals and Metal Products$2imf 606 $aCement$2imf 606 $aGlass$2imf 606 $aCeramics$2imf 606 $aGeneral Financial Markets: General (includes Measurement and Data)$2imf 606 $aInvestment & securities$2imf 606 $aFinance$2imf 606 $aConsumer price indexes$2imf 606 $aSilver$2imf 606 $aPrice indexes$2imf 606 $aCommodity markets$2imf 606 $aCommodity exchanges$2imf 607 $aUnited States$2imf 615 0$aInflation (Finance) 615 0$aPrice indexes. 615 7$aInvestments: Metals 615 7$aFinance: General 615 7$aMacroeconomics 615 7$aPrice Level 615 7$aInflation 615 7$aDeflation 615 7$aMetals and Metal Products 615 7$aCement 615 7$aGlass 615 7$aCeramics 615 7$aGeneral Financial Markets: General (includes Measurement and Data) 615 7$aInvestment & securities 615 7$aFinance 615 7$aConsumer price indexes 615 7$aSilver 615 7$aPrice indexes 615 7$aCommodity markets 615 7$aCommodity exchanges 700 $aHeravi$b Saeed$01462141 701 $aSilver$b Mick$01449453 712 02$aInternational Monetary Fund.$bStatistics Dept. 801 0$bDcWaIMF 906 $aBOOK 912 $a9910788411303321 996 $aThe Difference Between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes$93802249 997 $aUNINA