The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the "Bayesian implication" stands in conflict with the...

In an earlier paper [Rational choice andAGMbelief revision, Artificial Intelligence, 2009] a correspondence was established between the choice structures of revealed-preference theory (developed in economics) and the syntactic belief revision functions of the AGM theory (developed in philosophy...

Belief elicitation is central to inference on economic decision making. The recently introduced Binarized Scoring Rule (BSR) is heralded for its robustness to individuals holding risk averse preferences and for its superior performance when eliciting beliefs. Consequently, the BSR has become the...

According to the Description-Experience gap (DE gap), people act as if overweighting rare events when information about those events is derived from descriptions but as if underweighting rare events when they experience them through a sampling process. While the is now clear evidence that the DE...

This paper analyzes in a within-subjects experiment time preferences when peopledecide for themselves and on behalf of others. The data show that subjects becomemore impatient when making decisions, which affect the payoff of others. Thechange can be explained by altruistic subjects who increase...

We use a simple cost-benefit analysis to derive optimal similarity judgments - addressing the question: when should we expect a decision maker to distinguish between different time periods or different prizes? Our key premise is that cognitive resources are costly and are to be deployed only...

We characterize prior-by-prior Bayesian updating using a model proposed by Gilboa, Maccheroni, Marinacci and Schmeidler (2010) that jointly considers objective and subjective rationality. These rationality concepts are subject to the Bewley unanimity rule and maxmin expected utility,...

Two systems in the brain that are involved in emotional and economic decision-making are described. The first is an evolutionarily old emotion-based system that operates on rewards defined by the genes such as food, warmth, social reputation, and having children. Such decisions are often based...

The Savage and the Anscombe-Aumann frameworks are the two most popular approaches used when modeling ambiguity. The former is more flexible, but the latter is often preferred for its simplicity. We conduct an experiment where subjects place bets on the joint outcome of an ambiguous urn and a...

Uncertainty is a key contextual factor that affects the decision-making of multinational corporations on many types of international operation. However, the variety of ways in which uncertainty has been defined and studied in the international business literature, has contributed to a fragmented...

The Wald development of statistical decision theory addresses decision making with sample data. Wald's concept of a statistical decision function (SDF) embraces all mappings of the form [data → decision]. An SDF need not perform statistical inference; that is, it need not use data to draw...

Two systems in the brain that are involved in emotional and economic decision-making are described. The first is an evolutionarily old emotion-based system that operates on rewards defined by the genes such as food, warmth, social reputation, and having children. Such decisions are often based...

Group decision models that contemplate the particularities of the decision-making process help organizations pursue their strategic objectives. In the financial market, the primary interest of organizations consists in ensuring financial returns, which guarantee stability for the organization....

It is widely hypothesized that anxiety and worry about an uncertain future lead to the adoption of comforting beliefs or "wishful thinking". However, there is little direct causal evidence for this effect. In our experiment, participants perform a visual pattern recog- nition task where some...

There is a long ongoing debate on whether interaction in a market influences moral decisions of individuals. While some studies show that individuals tend to decide less morally when being exposed to a market environment, other studies argue that the experience of market interaction promotes...

Several decision making problems with multiple decision makers in a hierarchical decision making scenario can be best described using multilevel optimization problem. Different organizational structure adapt a hierarchical decision making system where each decision maker controls parts of the...

This paper presents four incentivised experiments analysing jointly the separate role of immediate integral emotions and knowledge in individual decision making under ambiguity. Reactions to a natural source of uncertainty (i.e., forthcoming real-world election results) were measured using both...

We study a model of task completion with the opportunity to learn about own self-control problems over time. While the agent is initially uncertain about her future self-control, in each period she can choose to learn about it by paying a non-negative learning cost and spending one period. If...

The increasing digitalization in the process and the end-result of public service, a phenomenon widely known as e-government, is changing the range and ways of collaboration among governments and their stakeholders. Especially with the pervasive use of social media for knowledge sharing,...