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Index Number Approaches To Seasonal Adjustment

Author

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  • Diewert, W. Erwin

Abstract

A seasonal commodity is one that either (1) is not available during certain seasons or (2) is always available but its prices or quantities fluctuate with the season or time of year. The existence of type-1 seasonal commodities in consumer preference functions means that the usual economic approach to index number theory cannot be applied to construct a short-term month-to-month or quarter-to-quarter consumer price index. We postulate various separability assumptions on intertemporal preferences that can be used to justify various seasonal index number formulas. One of our approaches leads to an index number solution to the problem of seasonal adjustment.

Suggested Citation

  • Diewert, W. Erwin, 1999. "Index Number Approaches To Seasonal Adjustment," Macroeconomic Dynamics, Cambridge University Press, vol. 3(1), pages 48-68, March.
    • Handle: RePEc:cup:macdyn:v:3:y:1999:i:01:p:48-68_01
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    Citations

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    Cited by:

    1. Robert C. Feenstra & Erwin W. Diewert, "undated". "Imputation and Price Indexes: Theory and Evidence from the International Price Program," Department of Economics 00-12, California Davis - Department of Economics.
    2. W. Erwin Diewert & Robert C. Feenstra, 2021. "Estimating the Benefits of New Products," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 437-473, National Bureau of Economic Research, Inc.
    3. François-Charles Wolff & Frédéric Salladarré, 2022. "A first-sale price index of seafood products," Post-Print hal-03913085, HAL.
    4. William Barnett & Jia Liu & Ryan Mattson & Jeff Noort, 2013. "The New CFS Divisia Monetary Aggregates: Design, Construction, and Data Sources," Open Economies Review, Springer, vol. 24(1), pages 101-124, February.
    5. Travis D. Nesmith, 2007. "Rational Seasonality," International Symposia in Economic Theory and Econometrics, in: Functional Structure Inference, pages 227-255, Emerald Group Publishing Limited.
    6. W. Erwin Diewert, 2003. "Measuring Capital," NBER Working Papers 9526, National Bureau of Economic Research, Inc.
    7. Diewert, Erwin & Feenstra, Robert, 2019. "Estimating the Benefits of New Products: Some Approximations," Microeconomics.ca working papers erwin_diewert-2019-3, Vancouver School of Economics, revised 13 Mar 2019.
    8. , & Diewert, Erwin, 2014. "An Empirical Illustration of Index Construction using Israeli Data on Vegetables," Economics working papers erwin_diewert-2014-11, Vancouver School of Economics, revised 11 Mar 2014.
    9. Robert C. Feenstra & Erwin W. Diewert, "undated". "Imputation and Price Indexes: Theory and Evidence from the International Price Program," Department of Economics 00-12, California Davis - Department of Economics.
    10. Carol Corrado & Wendy E. Dunn & Maria Ward Otoo, 2006. "Incentives and prices for motor vehicles: what has been happening in recent years?," Finance and Economics Discussion Series 2006-09, Board of Governors of the Federal Reserve System (U.S.).
    11. Adam Copeland, 2013. "Seasonality, consumer heterogeneity and price indexes: the case of prepackaged software," Journal of Productivity Analysis, Springer, vol. 39(1), pages 47-59, February.
    12. W. Diewert & Alice Nakamura, 2003. "Index Number Concepts, Measures and Decompositions of Productivity Growth," Journal of Productivity Analysis, Springer, vol. 19(2), pages 127-159, April.
    13. 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.

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