What makes us repeat behaviors compulsively that we ultimately regret? One intriguing behavior is that of binge eating—a pattern of food intake that is defined as recurring episodes of rapid, out-of-control overeating in which food is consumed in larger amounts than normal over a short period of time to the point of being uncomfortably full. Binge eating disorder (BED) has been accepted in The ...

Can simply changing the public definition of a normal retirement age impact retirement, without any associated financial incentive changes? We study reformulation system in Finland that relabeled ages with only modest and continuous changes incentives. find relabeling matters: both graphical evidence estimated hazard models reveal an enormous change when individuals face newly defined “normal r...

A new choice model is derived, rooted in the framework of Random Regret Minimization (RRM). The proposed model postulates that when choosing, people anticipate and aim to minimize regret. Whereas previous regret-based discrete choice-models assume that regret is experienced with respect to only the best of foregone alternatives, the proposed model assumes that regret is potentially experienced ...

Cognitive accounts of insomnia generally assume that excessive mental activity at bedtime constitutes a central impediment to the process of falling asleep, yet the affective aspects of this mental hyperactivity still remain largely unexplored. The present study explored whether failures in regret anticipation might lead to a rise of regret-related counterfactual thoughts and emotions at bedtim...

The mere act of choosing implies giving up possible alternatives and is therefore likely to generate a feeling of regret, which agents anticipate at the decision stage. In line with regret theory, I study the impact of anticipated regret on the decisionmaking process. The key feature of the model consists in considering biased regret anticipations. I thus describe the combined effect of cogniti...

No-regret algorithms are a popular class of learning rules which map a sequence of input vectors x1, x2 . . . to a sequence of predictions y1, y2, . . .. Unfortunately, most no-regret algorithms assume that the predictions yt are chosen from a small, discrete set. We consider instead prediction problems where yt has internal structure: yt might be a strategy in a game like poker, or a configura...