Ginsburg and Wright on A Taxonomy of Behavioral Law and Economics Skepticism

The behavioral economics research agenda is an ambitious one for several reasons.  The first reason is that behavioral economics requires a theory “true” preferences aside from – and in opposition to — the “revealed” preferences of the decision maker.  A second reason is that while collecting and documenting individual biases in an ad hoc fashion can generate interesting results, policy relevance requires an integrative theory of errors that can predict the sufficient and necessary conditions under which cognitive biases will hamper the decision-making of economic agents.  A third is not unique to behavioral economics but is nonetheless significant: demonstrating that behavioral economics improves predictive power.  The core methodological commitment of the behavioral economics enterprise — as with economics generally at least since Friedman (1953) —  is an empirical one: predictive power.  Indeed, no less than  Christine Jolls, Cass Sunstein and Richard Thaler have described the behavioralist research program as the economic analysis of law “with a higher R-squared,” that is, “a greater power to explain the observed data.”

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