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Becker Random Behavior and the As-If Defense of Rational Choice Theory in Demand Analysis


Ivan Moscati


Bocconi University - Department of Economics

Paola Tubaro


University of Greenwich; CNRS

June 15, 2011

Journal of Economic Methodology, Vol. 18, No. 2, pp. 107–128, June 2011

Abstract:     
In discussing rational choice theory (RCT) as an explanation of demand behavior, Becker (1962, Journal of Political Economy, 70, 1–13) proposed a model of random choice in which consumers pick a bundle on their budget line according to a uniform distribution. This model has then been used in various ways to assess the validity of RCT and to support as-if arguments in defense of it. This paper makes both historical and methodological contributions. Historically, it investigates how the interpretation of Becker random behavior evolved between the original 1962 article and the modern experimental literature on individual demand, and surveys six experiments in which it has been used as an alternative hypothesis to RCT. Methodologically, this paper conducts an assessment of the as-if defense of RCT from the standpoint of Becker’s model. It argues that this defense is ‘weak’ in a number of senses, and that it has negatively influenced the design of experiments about RCT.

Keywords: rational choice, random choice, as-if defense of scientific theories

JEL Classification: B41, C14, D11, D12

Accepted Paper Series


Date posted: July 18, 2011  

Suggested Citation

Moscati, Ivan and Tubaro, Paola, Becker Random Behavior and the As-If Defense of Rational Choice Theory in Demand Analysis (June 15, 2011). Journal of Economic Methodology, Vol. 18, No. 2, pp. 107–128, June 2011. Available at SSRN: http://ssrn.com/abstract=1886194

Contact Information

Ivan Moscati (Contact Author)
Bocconi University - Department of Economics ( email )
Via Gobbi 5
Milan, 20136
Italy
Paola Tubaro
University of Greenwich ( email )
Park Row, Greenwich
London, SE10 9LS
United Kingdom
HOME PAGE: http://paolatubaro.wordpress.com/
CNRS ( email )
Paris, 75014
France
Feedback to SSRN (Beta)


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