combines these methods by using observed decisions by experts to reduce the demensionality of the feature space and allow the … categorization of decisions by their propensity score. The fact that the human capital of experts is heterogeneous implies that … errors in decision making are inevitable. Moreover, under the appropriate conditions, these decisions are random conditional …

combines these methods by using observed decisions by experts to reduce the demensionality of the feature space and allow the … categorization of decisions by their propensity score. The fact that the human capital of experts is heterogeneous implies that … errors in decision making are inevitable. Moreover, under the appropriate conditions, these decisions are random conditional …

Causal inference methods are commonly used across domains to aid high-stakes decision-making. The validity of causal … enables decision-makers to reason about the validity of the estimation procedure by thinking carefully about the underlying …

risk, medical decision theory predicts lower treatment thresholds for risk-averse than for risk-neutral decision makers … frequency and intensity of second- and third-order risk preferences, as well as the effect of the medical decision context. Risk …-neutrality (from 50.0% to 29.3%). Risk aversion accounts for 3/4 of this effect, prudence for 1/4. Medical decision framing does not …