Previous studies apparently demonstrate that people systematically mispredict future tastes. This evidence, however, is also consistent with the idea that people understand, but do not approve of their future tastes. To disentangle both approaches, we conducted a framed field experiment with...

Many real life choices concern consumption in future periods. Previous studies apparently demonstrate that people systematically mispredict future tastes in such situations. This evidence, however, is also consistent with the idea that people understand, but do not approve of their future...

We investigate whether experimental participants follow their private information and contradict herds in situations where it is empirically optimal to do so. We consider two sequences of players, an observed and an unobserved sequence. Observed players sequentially predict which of two options...

Overconfidence is used to explain various instances of detrimental decision making. In behavioral economic and finance models, it is usually captured by misperceiving the reliability of signals and results in overweighting private information. Empirical tests of these models often fail to find...

We investigate the theoretically proposed link between judgmental overconfidence and trading activity. In addition to applying classical measures of miscalibration, we introduce a measure to capture misperception of signal reliability, which is the relevant bias in the theoretical overconfidence...

Weizsäcker (2010) estimates the payoff of actions to test rational expectations and to measure the success of social learning in information cascade experiments. He concludes that participants perform poorly when learning from others and that rational expectations are violated. We show that his...

We investigate whether experimental participants follow their private information and contradict herds in situations where it is empirically optimal to do so. We consider two sequences of players, an observed and an unobserved sequence. Observed players sequentially predict which of two options...