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摘要
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This article documents the economic relevance of measuring cognitive uncertainty: people's subjective uncertainty over their ex ante utility-maximizing decision. In a series of experiments on choice under risk, the formation of beliefs, and forecasts of economic variables, we show that cognitive uncertainty predicts various systematic biases in economic decisions. When people are cognitively uncertain-either endogenously or because the problem is designed to be complex-their decisions are heavily attenuated functions of objective probabilities, which gives rise to average behavior that is regressive to an intermediate option. This insight ties together a wide range of empirical regularities in behavioral economics that are typically viewed as distinct phenomena or even as reflecting preferences, including the probability weighting function in choice under risk; base rate insensitivity, conservatism, and sample size effects in belief updating; and predictable overoptimism and -pessimism in forecasts of economic variables. Our results offer a blueprint for how a simple measurement of cognitive uncertainty generates novel insights about what people find complex and how they respond to it.
Keyword:
BAYESIAN PERSPECTIVE
DESCRIPTIVE MODEL
EXPECTED UTILITY
PROSPECT-THEORY
RISK
CHOICE
PROBABILITY
PREFERENCES
JUDGMENT
CONFIDENCE
期刊
IF:
12.7
论文数:
1.2K
被引数:
4.1W
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