Hybrid decision model and the ranking of experiments

B-Tier
Journal: Journal of Mathematical Economics
Year: 2022
Volume: 101
Issue: C

Authors (2)

Karni, Edi (Johns Hopkins University) Safra, Zvi (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Departing from the reduction of compound lotteries axiom on multi-stage lotteries, this paper proposes a new hybrid model to analyze decision trees. Applied to multi-stage decision trees induced by experiments, Blackwell’s (1953) definition of the relation “more informative” on the set of information structures is equivalent to experiments being more valuable to a class of non-expected utility preferences. This result extends Blackwell’s theorem and provides new insights regarding the evaluation of information produced by experiments.

Technical Details

RePEc Handle
repec:eee:mateco:v:101:y:2022:i:c:s0304406822000489
Journal Field
Theory
Author Count
2
Added to Database
2026-01-25