We examine how conditionality inherent to the real-life observable data influences our forecasting and decision … decision-making by analyzing examples ranging from logic puzzles to asset pricing and model-based forecasting. Across many … decision-making …

This paper presents a new approach to solve dynamic decision models in economics. The proposed procedure, called … solve dynamic decision problems in economics by means of numerical simulations for various examples, including stochastic …

, anticipated regret, and decision roles on vaccination willingness. In an online study, a sample of 187 participants (70.0% female … vaccine uptake compared to a control group. The anticipated regret people indicate to experience for getting side-effects and … for the child than the self-decision (p = 0.00 and p = 0.01, respectively). Finally, gender and willingness to take risks …

Several recent empirical papers assert that the decision to disclose an earnings forecast shortly before the actual … dynamic model of voluntary disclosure, we show that the decision to disclose a short-term earnings forecast reveals managers … decision to disclose a short-term earnings forecast predicts earnings three years beyond the forecasted period, and that the …

algorithms and, importantly, the basic structures of decision theory that it embeds. To make a problem amenable to algorithmic … application. We use decision theory, including behavioural economics, to highlight the choices embedded within this problem space … lockstep advancement in awareness and application of decision theory. Such awareness may help to mitigate some of the …