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Estimating the Benefits of New Products

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  • Diewert, Erwin
  • Feenstra, Robert

Abstract

A major challenge facing statistical agencies is the problem of adjusting price and quantity indexes for changes in the availability of commodities. This problem arises in the scanner data context as products in a commodity stratum appear and disappear in retail outlets. Hicks suggested a reservation price methodology for dealing with this problem in the context of the economic approach to index number theory. Feenstra and Hausman suggested specific methods for implementing the Hicksian approach. The present paper evaluates these approaches and suggests some alternative approaches to the estimation of reservation prices. The various approaches are implemented using some scanner data on frozen juice products that are available online.

Suggested Citation

  • Diewert, Erwin & Feenstra, Robert, 2018. "Estimating the Benefits of New Products," Microeconomics.ca working papers erwin_diewert-2018-7, Vancouver School of Economics, revised 06 Sep 2018.
  • Handle: RePEc:ubc:pmicro:erwin_diewert-2018-7
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    References listed on IDEAS

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    1. 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.
    2. Hausman, Jerry A & Leonard, Gregory K, 2002. "The Competitive Effects of a New Product Introduction: A Case Study," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 237-263, September.
    3. E. Rothbarth, 1941. "The Measurement of Changes in Real Income under Conditions of Rationing," Review of Economic Studies, Oxford University Press, vol. 8(2), pages 100-107.
    4. Feenstra, Robert C, 1994. "New Product Varieties and the Measurement of International Prices," American Economic Review, American Economic Association, vol. 84(1), pages 157-177, March.
    5. Diewert, W. Erwin & Mizobuchi, Hideyuki, 2009. "Exact And Superlative Price And Quantity Indicators," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 335-380, September.
    6. A. Henderson, 1941. "Consumer's Surplus and the Compensating Variation," Review of Economic Studies, Oxford University Press, vol. 8(2), pages 117-121.
    7. Diewert, W. Erwin & Fox, Kevin J., 2017. "Substitution Bias in Multilateral Methods for CPI Construction using Scanner Data," Microeconomics.ca working papers erwin_diewert-2017-3, Vancouver School of Economics, revised 23 Mar 2017.
    8. Jerry A. Hausman, 1996. "Valuation of New Goods under Perfect and Imperfect Competition," NBER Chapters,in: The Economics of New Goods, pages 207-248 National Bureau of Economic Research, Inc.
    9. Diewert, W. E. & Wales, T. J., 1988. "A normalized quadratic semiflexible functional form," Journal of Econometrics, Elsevier, vol. 37(3), pages 327-342, March.
    10. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
    11. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    12. Hirofumi Uzawa, 1962. "Production Functions with Constant Elasticities of Substitution," Review of Economic Studies, Oxford University Press, vol. 29(4), pages 291-299.
    13. J. R. Hicks, 1945. "The Generalised Theory of Consumer's Surplus," Review of Economic Studies, Oxford University Press, vol. 13(2), pages 68-74.
    14. Hausman, Jerry, 1999. "Cellular Telephone, New Products, and the CPI," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 188-194, April.
    15. Diewert, W. Erwin, 1999. "Index Number Approaches To Seasonal Adjustment," Macroeconomic Dynamics, Cambridge University Press, vol. 3(01), pages 48-68, March.
    16. Jerry Hausman, 2003. "Sources of Bias and Solutions to Bias in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 23-44, Winter.
    17. W. Erwin Diewert, 1998. "Index Number Issues in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 47-58, Winter.
    18. Samuelson, Paul A, 1974. "Complementarity-An Essay on the 40th Anniversary of the Hicks-Allen Revolution in Demand Theory," Journal of Economic Literature, American Economic Association, vol. 12(4), pages 1255-1289, December.
    19. Sato, Kazuo, 1976. "The Ideal Log-Change Index Number," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 223-228, May.
    20. Hausman, Jerry A, 1981. "Exact Consumer's Surplus and Deadweight Loss," American Economic Review, American Economic Association, vol. 71(4), pages 662-676, September.
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    Cited by:

    1. Gabriel Ehrlich & John Haltiwanger & Ron Jarmin & David Johnson & Matthew D. Shapiro, 2019. "Re-Engineering Key National Economic Indicators," NBER Chapters,in: Big Data for 21st Century Economic Statistics National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Hicksian reservation prices; virtual prices; Laspeyres; Paasche; Fisher; Törnqvist and Sato-Vartia;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D60 - Microeconomics - - Welfare Economics - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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