The existence of base rate fallacy (BRF) bias is explored employing: (i) a context treatment with a narrative story applied to asset markets and (ii) an isomorphic abstract setting using balls-and-bingo cages. Probability estimates reflect a BRF bias in both treatments, but is stronger with context. Prices track highest expected dividend values (HEDVs) with context, resulting in strongly biased prices relative to the Bayesian norm when biased traders have HEDVs. In the abstract treatment prices do not track HEDVs nearly as closely, resulting in prices closer to the BRF bias only when most traders hold biased beliefs. Copyright Kluwer Academic Publishers 2000
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Nicholas Barberis & Andrei Shleifer & Robert W. Vishny, 1997.
"A Model of Investor Sentiment,"
NBER Working Papers
5926, National Bureau of Economic Research, Inc.
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