We examine the causes and policy consequences of strategic (willful) ignorance of risk as an excuse to overengage in risky health behavior. In an experiment on Copenhagen adults, we allow subjects to choose whether to learn the calorie content of a meal before consuming it, and measure their...

We explore the attitude towards risky career choices of young people in highly competitive environments. We empirically test which factors influence young elite athletes' tendency towards choosing a high-risk career option over a lower risk one; looking at the attitudes, of close to 1000 soccer...

In diesem Diskussionspapier werden die Ergebnisse einer im Mai/Juni 2007 durchgeführten Unternehmensbefragung im Raum Niedersachsen vorgestellt in Bezug auf die Fragestellung, ob sich Unternehmen, die Innovationsförderung erhalten, von nicht geförderten Unternehmen in Bezug auf generelle...

This paper proposes a new approach for modeling investor fear after rare disasters. The key element is to take into account that investors’ information about fundamentals driving rare downward jumps in the dividend process is not perfect. Bayesian learning implies that beliefs about the...

Based on OECD evidence, equity/housing-price busts and credit crunches are followed by substantial increases in public consumption. These increases in unproductive public spending lead to increases in distortionary marginal taxes, a policy in sharp contrast with presumably optimal Keynesian...

This paper uses the example of an exam to model multi-dimensional search under a deadline. When the dimension is two, an order-invariance property allows simple characterization of the optimal search policy. Behavior is shown to be highly sensitive to changes in the deadline, and a wide variety...

The goal programming (GP) is a well-known approach applied to multi-criteria decision making (M-DM). It has been used in many domains and the literature offers diverse extensions of this procedure. On the other hand, so far, some evident analogies between M-DM under certainty and scenario-based...

This paper studies sequential information acquisition by an ambiguity-averse decision maker (DM), who decides how long to collect information before taking an irreversible action. The agent optimizes against the worst-case belief and updates prior by prior. We show that the consideration of...

We study the effect of ambiguity on timing decisions. An agent faces a stopping problem with an uncertain stopping payoff and a stochastic time limit. The agent is unsure about the correct model quantifying the uncertainty and seeks to maximize her payoff guarantee over a set of plausible...

Existing long-term energy and climate scenarios are typically a rather simple extrapolation of past trends. Both qualitative and quantitative outlooks co-exist, but they often focus narrowly on individual perspectives, which is opposed to the interlinked and complex nature of energy and climate....