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Measuring Consumer Behavior Using Experimental Data

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  • Philippe Février
  • Michael Visser

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Abstract

The hypothesis that the preferences of an individual can be represented by a utility function is at the center of economic theory. However, the main restrictions of the theory (the Slutsky conditions) are often rejected by empirical studies on micro data. This paper uses experimental data to analyze the main explanations of this result. Using the Generalized Axiom of Revealed Preferences (GARP), the subjects of the experiment are divided in two groups: GARP-consistent and GARP-inconsistent individuals. Two models, the translog model and a PIGLOG model, are then estimated for both groups separately and for the total sample. We find that the estimated parameters of the demand equations and tests of the Slutsky restrictions are not influenced by the presence of GARP-inconsistent individuals. Furthermore, the Slutsky restrictions are accepted for the PIGLOG model but rejected for the translog model. The rejection of the Slutsky conditions seems therefore a consequence of a specification problem rather than an "irrationality" problem.

Suggested Citation

  • Philippe Février & Michael Visser, 2017. "Measuring Consumer Behavior Using Experimental Data," Annals of Economics and Statistics, GENES, issue 127, pages 9-31.
  • Handle: RePEc:adr:anecst:y:2017:i:127:p:9-31
    DOI: 10.15609/annaeconstat2009.127.0009
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    File URL: http://www.jstor.org/stable/10.15609/annaeconstat2009.127.0009
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    More about this item

    Keywords

    Consumer behavior; Experimental economics; GARP tests; Slutsky restrictions; Microeconometrics;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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