BELIEF MOVEMENT, UNCERTAINTY REDUCTION, AND RATIONAL UPDATING

成果类型:
Article
署名作者:
Augenblick, Ned; Rabin, Matthew
署名单位:
University of California System; University of California Berkeley; Harvard University
刊物名称:
QUARTERLY JOURNAL OF ECONOMICS
ISSN/ISSBN:
0033-5533
DOI:
10.1093/qje/qjaa043
发表日期:
2021
页码:
933-985
关键词:
BAYES RULE probability tests MODEL inequalities volatility frequency prices LAW
摘要:
When a Bayesian learns new information and changes her beliefs, she must on average become concomitantly more certain about the state of the world. Consequently, it is rare for a Bayesian to frequently shift beliefs substantially while remaining relatively uncertain, or, conversely, become very confident with relatively little belief movement. We formalize this intuition by developing specific measures of movement and uncertainty reduction given a Bayesian's changing beliefs over time, showing that these measures are equal in expectation and creating consequent statistical tests for Bayesianess. We then show connections between these two core concepts and four common psychological biases, suggesting that the test might be particularly good at detecting these biases. We provide support for this conclusion by simulating the performance of our test and other martingale tests. Finally, we apply our test to data sets of individual, algorithmic, and market beliefs.