A NONPARAMETRIC TEST OF ADVERTISING'S EFFECTIVENESS
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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.