We show that continuous models of stimulus-driven attention can account for skewness-related puzzles in decision-making under risk. First,we delineate that these models provide awell-defined theory of choice under risk. We therefore prove that in continuous - in contrast to discrete - models of...

Whether people seek or avoid risks on gambling, insurance, asset, or labor markets crucially depends on the skewness of the underlying probability distribution. In fact, people typically seek positively skewed risks and avoid negatively skewed risks. We show that salience theory of choice under...

While many puzzles in static choices under risk can be explained by a preference for positive and an aversion toward negative skewness, little is known about the implications of such skewness preferences for decision making in dynamic problems. Indeed, skewness preferences might play an even...

While many puzzles in static choices under risk can be explained by a preference for positive and an aversion toward negative skewness, little is known about the implications of such skewness preferences for decision making in dynamic problems. Indeed, skewness preferences might play an even...

We show that continuous models of stimulus-driven attention can account for skewness-related puzzles in decision-making under risk. First,we delineate that these models provide awell-defined theory of choice under risk. We therefore prove that in continuous - in contrast to discrete - models of...

Whether people seek or avoid risks on gambling, insurance, asset, or labor markets crucially depends on the skewness of the underlying probability distribution. In fact, people typically seek positively skewed risks and avoid negatively skewed risks. We show that salience theory of choice under...