Monetary policy-makers face various types of uncertainty and these uncertainties are exacerbated during episodes of a financial crisis. Blinder (2004) suggests that monetary policy committees help to make better decisions in the presence of uncertainty. In this paper, we explore monetary policy...

We introduce heterogeneity into a monetary policy committee by allowing the degree of model uncertainty to differ across members. It is shown that in this framework the stage at which members reach consensus matters. An aggregation protocol under which members only average policy deemed optimal...

Most monetary policy committees decide on interest rates using a simple majority voting rule. Given the inherent heterogeneity of committee members, this voting rule is suboptimal in terms of the quality of the interest rate decision, but popular for other (political) reasons. We show that a...

This paper studies how organizational design affects moral outcomes. Subjects face the decision to either kill mice for money or to save mice. We compare a Baseline treatment where subjects are fully pivotal to a Diffused-Pivotality treatment where subjects simultaneously choose in groups of...

Probabilistic dual hesitant fuzzy set (PDHFS), as a decision information preference combining membership degree (MD) and non-membership degree (NMD) and probability, is an important tool to express uncertain information powerfully. It is well known that distance measures are very useful tools in...

This study measures the differences in ambiguity attitudes of groups and individuals in the gain and loss domain. We elicit the ambiguity attitudes and ambiguity-generated insensitivity for natural temperature events. We do not find significant differences between individuals and groups in our...