A NONPARAMETRIC TEST OF ADVERTISING'S EFFECTIVENESS

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.


Subject(s):
Issue Date:
2001
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/20529
Total Pages:
23
Series Statement:
Selected paper




 Record created 2017-04-01, last modified 2018-01-21

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