Division of the Humanities and Social Sciences California Institute of Technology Pasadena, California 91125 Proper Scoring Rules for General Decision Models

Division of the Humanities and Social Sciences California Institute of Technology Pasadena, California 91125 the Fcc Rules for the 700mhz Auction: a Potential Disaster

Division of the Humanities and Social Sciences California Institute of Technology Pasadena, California 91125 on Incentives and Updating in Agent Based Models

Proper scoring rules for general decision models

On the domain of Choquet expected utility preferences with risk neutral lottery evaluation and totally monotone capacities, we demonstrate that proper scoring rules do not exist. This implies the non-existence of proper scoring rules for any larger class of preferences (CEU with convex capacities, multiple priors). We also show that if a decision maker whose behavior conforms to the multiple pr...

Nber Working Paper Series Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study

Measurement error is ubiquitous in experimental work. It leads to imperfect statistical controls, attenuated estimated effects of elicited behaviors, and biased correlations between characteristics. We develop simple statistical techniques for dealing with experimental measurement error. These techniques are applied to data from the Caltech Cohort Study, which conducts repeated incentivized sur...

Behavioral contagion during learning about another agent’s risk-preferences acts on the neural representation of decision-risk

Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125; Faculty of Business and Economics, The University of Melbourne, Carlton, VIC 3010, Australia; Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC 3052, Australia; and Computation and Neural Systems, California Institute of Technology, Pasadena, CA 9...