A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data
AbstractStatistical offices use the matched models method to compile consumer price indices (CPIs) to measure inflation. The prices of a sample of models are recorded, and then price collectors visit the same stores each subsequent month to record the prices of the same matched sample of models. The matched models method is designed to control for quality changes. But new, unmatched models launched in subsequent months have their prices ignored as do old unmatched models no longer available. The paper uses retailer's bar-code scanner data on several consumer durables to show that serious sample degradation can take place and that the quality-adjusted prices of unmatched items differ from those of matched ones, leading to substantial underestimates of inflation. Hedonic indices use the whole sample. They are argued to be more useful to price measurement in markets with a rapid turnover of models in order to avoid the demonstrated bias. JEL Classification: C43, E43, O47
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 23 (2005)
Issue (Month): (July)
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Other versions of this item:
- Silver, Mick & Heravi, Saeed, 2002. "A failure in the measurement of inflation: results from a hedonic and matched experiment using scanner data," Working Paper Series 0144, European Central Bank.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
- 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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