The use of indicators for unobservable product qualities: inferences based on consumer sorting
AbstractUsing 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 28409.
Date of creation: 08 Oct 2010
Date of revision:
hedonic analysis; surrogate indicators; asymmetric information; pricing strategy; product strategy;
Find related papers by JEL classification:
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
This paper has been announced in the following NEP Reports:
- NEP-AGR-2011-02-05 (Agricultural Economics)
- NEP-ALL-2011-02-05 (All new papers)
- NEP-MKT-2011-02-05 (Marketing)
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