With qualitative AI advice and an unknown DGP, belief updates show confirmation inertia at extremes, large reaction to contradiction, and weaker intermediate moves, better fit by CR/wIU than quasi-Bayes.
Title resolution pending
1 Pith paper cite this work, alongside 1 external citations. Polarity classification is still indexing.
1
Pith paper citing it
1
external citations · OpenAlex
fields
econ.GN 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning from an Unknown DGP: Experimental Evidence on Belief Updating with AI Recommendations
With qualitative AI advice and an unknown DGP, belief updates show confirmation inertia at extremes, large reaction to contradiction, and weaker intermediate moves, better fit by CR/wIU than quasi-Bayes.