A Comparison of Weighted Time-Product Dummy and Time Dummy Hedonic Indexes
This paper compares two model-based multilateral price indexes: the time- product dummy (TPD) index and the time dummy hedonic (TDH) index, both estimated by expenditure-share weighted least squares regression. The TPD model can be viewed as the saturated version of the underlying TDH model, and we argue that the regression residuals are ``distorted towards zero'' due to overfitting. We decompose the ratio of the two indexes in terms of average regression residuals of the new and disappearing items (plus a third component that depends on the change in the matched items' normalized expenditure shares). The decomposition explains under which conditions the TPD index suffers from quality-change bias or, more generally, lack-of-matching bias. An example using scanner data on men's t-shirts illustrates our theoretical framework.
|Date of creation:||Nov 2016|
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References listed on IDEAS
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- Mark Bils, 2009. "Do Higher Prices for New Goods Reflect Quality Growth or Inflation?," The Quarterly Journal of Economics, Oxford University Press, vol. 124(2), pages 637-675.
- Ivancic, Lorraine & Erwin Diewert, W. & Fox, Kevin J., 2011.
"Scanner data, time aggregation and the construction of price indexes,"
Journal of Econometrics,
Elsevier, vol. 161(1), pages 24-35, March.
- Diewert, Erwin & Fox, Kevin J. & Ivancic, Lorraine, 2009. "Scanner Data, Time Aggregation and the Construction of Price Indexes," Economics working papers erwin_diewert-2009-48, Vancouver School of Economics, revised 22 Sep 2009.
- Daniel Melser & Iqbal A. Syed, 2016. "Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 509-533, 09.
- Daniel Melser & Iqbal A. Syed, 2014. "Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation," Discussion Papers 2014-40, School of Economics, The University of New South Wales.
- Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.
- 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.
- Erwin Diewert, 2005. "Weighted Country Product Dummy Variable Regressions And Index Number Formulae," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 561-570, December.
- Kevin J. Fox & Daniel Melser, 2014. "Non-Linear Pricing and Price Indexes: Evidence and Implications from Scanner Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(2), pages 261-278, 06.
- Summers, Robert, 1973. "International Price Comparisons Based Upon Incomplete Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 19(1), pages 1-16, March.
- Reinsdorf, Marshall B, 1999. "Using Scanner Data to Construct CPI Basic Component Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 152-160, April.
- de Haan, Jan & van der Grient, Heymerik A., 2011. "Eliminating chain drift in price indexes based on scanner data," Journal of Econometrics, Elsevier, vol. 161(1), pages 36-46, March. Full references (including those not matched with items on IDEAS)
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