We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on inflation and growth. We find that the Least Squares with constant gains adjusted to match (past) survey forecasts provides the best overall performance both in terms of forecasting...

People have the natural tendency to be optimistic and believe that good outcomes in the future are more likely, but also want to avoid overestimation that could result in bad decision-making. Brunnermeier, Brunnermeier and Parker (2005) and Brunnermeier et al. (2007) established an optimal...

Subjects who overestimate their performance in experimental tasks unrelated to travel are less willing to insure against failing in the task and also less inclined to buy travel insurance. This suggests intrinsic optimism influences insurance demand and diminishes adverse selection.

How do people react to a mix of good deeds to a third party and bad deeds against them? A modified ultimatum game shows that previous good deeds make responders substantially more tolerant to unfair proposals.