Subjective Probability Weighting and the Discovered Preference Hypothesis

Preference Anomalies, Preference Elicitation and the Discovered Preference Hypothesis

There is wide-ranging evidence, much of it deriving from economics experiments, of ‘anomalies’ in behaviour that challenge standard preference theories. This paper explores the implications of these anomalies for preference elicitation methods. Because methods that are used to inform public policy, such as contingent valuation, are based on standard preference theories, their validity may be ca...

Second-best Probability Weighting∗

Non-linear probability weighting is an integral part of descriptive theories of choice under risk such as prospect theory. But why do these objective errors in information processing exist? Should we try to help individuals overcome their mistake of overweighting small and underweighting large probabilities? In this paper, we argue that probability weighting can be seen as a compensation for pr...

Inverse probability weighting.

Statistical analysis usually treats all observations as equally important. In some circumstances, however, it is appropriate to vary the weight given to different observations. Well known examples are in meta-analysis, where the inverse variance (precision) weight given to each contributing study varies, and in the analysis of clustered data. Differential weighting is also used when different p...

Subjective Probability ∗

We provide an overview of the idea of subjective probability and its foundational role in decision making and modern management sciences. We highlight the role of Savage’s theory as an organizing methodology to guide and constrain our modeling of choice under uncertainty, rather than a substantive statement subject to refutations by experimental or psychological evidence. ∗Prepared for The Wile...

Subjective Probability