Hedonic Imputation Versus Time Dummy Hedonic Indexes:

Statistical offices try to match item models when measuring inflation between two periods. However, for product areas with a high turnover of differentiated models, the use of hedonic indexes is more appropriate since they include unmatched new and old models. There are two main competing approaches...

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Bibliographic Details
Main Author: Diewert, W. E. (Author)
Format: Electronic eBook
Language:English
Published: Washington, D.C International Monetary Fund 2007
Series:IMF Working Papers Working Paper No. 07/234
Online Access:UBW01
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Summary:Statistical offices try to match item models when measuring inflation between two periods. However, for product areas with a high turnover of differentiated models, the use of hedonic indexes is more appropriate since they include unmatched new and old models. There are two main competing approaches to hedonic indexes are hedonic imputation (HI) indexes and dummy time hedonic (HD) indexes. This study provides a formal analysis of exactly why the results from the two approaches may differ and discusses the issue of choice between these approaches. An illustrative study for desktop PCs is provided
Physical Description:1 Online-Ressource (36 p)
ISBN:1451867980
9781451867985

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