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The use of indicators for unobservable product qualities: inferences based on consumer sorting

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  • Nagler, Matthew G.
  • Kronenberg, Fredi
  • Kennelly, Edward J.
  • Jiang, Bei
  • Ma, Chunhui

Abstract

Using the dietary supplement black cohosh to demonstrate our method, we employ data on a product characteristic unobservable to consumers to decompose the contribution to consumers’ valuations of observable characteristics into surrogate indicator and direct components. Because consumers are not all “expert appraisers” of the unobservable characteristic, the measured relationship of indicators to the unobservable quality is generally not the one consumers perceive. Consequently, biases that depend upon the nature of consumers’ ineptitude are introduced into the component estimation. The researcher’s inference problem is solved by recognizing that consumers with greater appraisal expertise sort disproportionately to higher quality products. This enables feasible measurement of inept consumers’ relative valuations and conjectures through separate hedonic estimation on high- and low-quality product subsamples. We find that, relative to experts, inept consumers likely underestimate the value of most observable characteristics in indicating black cohosh product authenticity; however they overweight online product ratings.

Suggested Citation

  • Nagler, Matthew G. & Kronenberg, Fredi & Kennelly, Edward J. & Jiang, Bei & Ma, Chunhui, 2010. "The use of indicators for unobservable product qualities: inferences based on consumer sorting," MPRA Paper 28409, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:28409
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    References listed on IDEAS

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    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    2. Mark Armstrong & Yongmin Chen, 2009. "Inattentive Consumers and Product Quality," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 411-422, 04-05.
    3. Steven Salop & Joseph Stiglitz, 1977. "Bargains and Ripoffs: A Model of Monopolistically Competitive Price Dispersion," Review of Economic Studies, Oxford University Press, vol. 44(3), pages 493-510.
    4. Franziska Völckner & Julian Hofmann, 2007. "The price-perceived quality relationship: A meta-analytic review and assessment of its determinants," Marketing Letters, Springer, vol. 18(3), pages 181-196, September.
    5. Abhijit V. Banerjee, 1993. "The Economics of Rumours," Review of Economic Studies, Oxford University Press, vol. 60(2), pages 309-327.
    6. Li, Jing, 2009. "Information structures with unawareness," Journal of Economic Theory, Elsevier, vol. 144(3), pages 977-993, May.
    7. Nagler, Matthew G., 1993. "Rather bait than switch : Deceptive advertising with bounded consumer rationality," Journal of Public Economics, Elsevier, vol. 51(3), pages 359-378, July.
    8. Xavier Gabaix & David Laibson, 2006. "Shrouded Attributes, Consumer Myopia, and Information Suppression in Competitive Markets," The Quarterly Journal of Economics, Oxford University Press, vol. 121(2), pages 505-540.
    9. Liu Zhen, 2008. "The Dirty Face Problem with Unawareness," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-20, December.
    10. Heifetz, Aviad & Meier, Martin & Schipper, Burkhard C., 2006. "Interactive unawareness," Journal of Economic Theory, Elsevier, vol. 130(1), pages 78-94, September.
    11. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 797-817.
    12. Tülin Erdem & Michael P. Keane & Baohong Sun, 2008. "A Dynamic Model of Brand Choice When Price and Advertising Signal Product Quality," Marketing Science, INFORMS, vol. 27(6), pages 1111-1125, 11-12.
    13. Darby, Michael R & Karni, Edi, 1973. "Free Competition and the Optimal Amount of Fraud," Journal of Law and Economics, University of Chicago Press, vol. 16(1), pages 67-88, April.
    14. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    15. Dina Mayzlin, 2006. "Promotional Chat on the Internet," Marketing Science, INFORMS, vol. 25(2), pages 155-163, 03-04.
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    More about this item

    Keywords

    hedonic analysis; surrogate indicators; asymmetric information; pricing strategy; product strategy;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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