. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models … of decision-making under uncertainty to account for the process of determining payoffs. We label this process of … on whether the improvements in prediction enable automated decision-making. We discuss the implications of improved …

analyze the dynamic effects of feedback on beliefs about own performance and decision-making across two different domains …

demand for decision-making and explores the consequences for life-cycle earnings. Career earnings growth in the U.S. more … substantial share of this shift is explained by increased employment in decision-intensive occupations, which have longer and more … gradual periods of earnings growth. To understand these patterns, I develop a model that nests decision-making in a standard …

consumer choice among complex financial products using data from a randomized, controlled trial of decision support software … to participate. A model of consumer decision-making suggests that our intervention affected consumers' signals about both …

-optimal. Our analysis leverages the large-scale implementation of an AI-based decision support tool in a private Medicare exchange … consumers $1260 on average. The addition of AI-based decision support improves outcomes by $278 on average and substantially … decision support associated with a 21% reduction in call time for enrollment …

Jobs increasingly require good decision-making. Workers are valued not only for how much they can do, but also for … conditional on IQ, numeracy, and education, and the return to allocative skill is greater in decision-intensive occupations …

A choice-theoretic model of household decision-making with respect to care-giving time allocations and the use of …