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Shrinkage Estimation of Price and Promotional Elasticities: Seemingly Unrelated Equations

In: Perspectives On Promotion And Database Marketing The Collected Works of Robert C Blattberg

Author

Listed:
  • ROBERT C. BLATTBERG

    (Graduate School of Business, University of Chicago, Chicago, IL 60637, USA)

  • EDWARD I. GEORGE

    (Graduate School of Business, University of Chicago, Chicago, IL 60637, USA)

Abstract

Consider the problem where a retailer or manufaturer wants to estimate product price and promotional elasticities based on supermarket scanner data. Classical linear modeling suffers from the following aggregation dilemma. Price and promotional elasticities appear to vary considerably among chains and brands so that one overall model is too restrictive. Alternatively, the use of a different model for each chain and brand leads to noisy and often nonsensical estimates of separate elasticities because of excessive data variation. To resolve this dilemma, shrinkage estimation procedures are proposed. By borrowing strenth across chains and brands, these procedures reduce variability while providing flexibility that allows for separate elasticity estimates. Application of these procedures to a large data set yields not only more reasonable model estimates but also improved predictive power.

Suggested Citation

  • Robert C. Blattberg & Edward I. George, 2010. "Shrinkage Estimation of Price and Promotional Elasticities: Seemingly Unrelated Equations," World Scientific Book Chapters, in: Greg M Allenby (ed.), Perspectives On Promotion And Database Marketing The Collected Works of Robert C Blattberg, chapter 9, pages 145-156, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789814287067_0009
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    More about this item

    Keywords

    Quantitative Marketing; Tracker Model; Customer Level Data; Marketing-Mix Modeling;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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