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- W2000317098 abstract "Matched-model price indexes generally overestimate quality-adjusted prices, because the price/performance ratio of models sold in consecutive periods is worse than that of new models. This “unrepresentativeness” of the sample potentially might be reduced by obtaining higher-frequency data, thus increasing the fraction of models that are matched. We propose a set of comformable indexes to test this hypothesis. Using computer prices from the Buy Direct press, we find, contrary to initial expectations, that the bias in the matched-model price index increases with the sampling frequency. The bias is reduced if the high-frequency index is constructed using only long-lived models. These results suggest that models that last for only a brief time are models for which the price/performance ratio has deteriorated very rapidly. Thus increasing the sampling frequency without purging short-lived models actually increases the selection bias." @default.
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- W2000317098 date "2004-01-01" @default.
- W2000317098 modified "2023-10-18" @default.
- W2000317098 title "Sampling Frequency and the Comparison Between Matched-Model and Hedonic Regression Price Indexes" @default.
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- W2000317098 doi "https://doi.org/10.1198/073500103288619421" @default.
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