We present an experiment where subjects sequentially receive signals about the true state of the world and need to form beliefs about which one is true, with payoffs related to reported beliefs. We attempt to control for risk aversion using the Offerman et al. (Rev Econ Stud 76(4):1461–1489, 2009) technique. Against the baseline of Bayesian updating, we test for belief adjustment underreaction and overreaction and model the decision making process of the agent as a double hurdle model where agents with inferential expectations first decide whether to adjust their beliefs and then, if so, decide by how much. We also test the effects of increased inattention and complexity on belief updating. We find evidence for periods of belief inertia int...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
Optimistic beliefs affect important areas of economic decision making, yet direct knowledge on how b...
Funding agency: Russell Sage FoundationBayesian updating remains the benchmark for dynamic modeling ...
We present an experiment where subjects sequentially receive signals about the true state of the wor...
International audienceWe conduct an experiment on individual choice under risk in which we study bel...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
International audienceWe conduct an experiment on individual choice under risk in which we study bel...
International audienceWe conduct an experiment on individual choice under risk in which we study bel...
Bayes’ statistical rule remains the status quo for modeling belief updating in both normative and d...
We conduct a laboratory experiment to shed light on the cognitive limitations that may affect the wa...
We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respon...
We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respon...
We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respon...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
Optimistic beliefs affect important areas of economic decision making, yet direct knowledge on how b...
Funding agency: Russell Sage FoundationBayesian updating remains the benchmark for dynamic modeling ...
We present an experiment where subjects sequentially receive signals about the true state of the wor...
International audienceWe conduct an experiment on individual choice under risk in which we study bel...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
International audienceWe conduct an experiment on individual choice under risk in which we study bel...
International audienceWe conduct an experiment on individual choice under risk in which we study bel...
Bayes’ statistical rule remains the status quo for modeling belief updating in both normative and d...
We conduct a laboratory experiment to shed light on the cognitive limitations that may affect the wa...
We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respon...
We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respon...
We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respon...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
Working paper GATE 2010-33This article analyses belief updating when agents receive a signal that re...
Optimistic beliefs affect important areas of economic decision making, yet direct knowledge on how b...
Funding agency: Russell Sage FoundationBayesian updating remains the benchmark for dynamic modeling ...