A NONPARAMETRIC TEST OF ADVERTISING'S EFFECTIVENESS

James Chalfant () and Dafna M. Disegni Eshel

No 20529, 2001 Annual meeting, August 5-8, Chicago, IL from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: Nonparametric demand analysis uses axioms of revealed preference to test a data set for compatibility with the hypothesis of stable preferences. Previous applications have tested for the presence of structural change using this approach. This paper shows how to include demand shifters such as advertising in the analysis. It is shown that the implied results for changes in tastes depend on restrictions on advertising's effects.

Keywords: Marketing (search for similar items in EconPapers)
Pages: 23
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea01:20529

DOI: 10.22004/ag.econ.20529

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