Hedonic Imputation versus Time Dummy Hedonic Indexes
In: Price Index Concepts and Measurement
AbstractStatistical 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.
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Other versions of this item:
- W. E. Diewert & Mick Silver & Saeed Heravi, 2007. "Hedonic Imputation Versus Time Dummy Hedonic Indexes," IMF Working Papers 07/234, International Monetary Fund.
- Erwin Diewert & Saeed Heravi & Mick Silver, 2008. "Hedonic Imputation versus Time Dummy Hedonic Indexes," NBER Working Papers 14018, National Bureau of Economic Research, Inc.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
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