We explore the relationship between attractiveness and risk taking in chess. We use a large international panel dataset on chess competitions which includes a control for the players' skill in chess. This data is combined with results from a survey on an online labor market where participants...

We examine rational learning among expert chess players and how they update their beliefs in repeated games with the same opponent. We present a model that explains how equilibrium play is affected when players change their choice of strategy when receiving additional information from each...

This paper aims to measure differences in risk behavior among expert chess players. The study employs a panel data set on international chess with 1.4 million games recorded over a period of 11 years. The structure of the data set allows us to use individual fixed-effect estimations to control...