A foundational problem in marketing and economics involves accurately predicting purchase decisions at both individual and aggregate levels. Building on recent advances in neuroeconomic models of decision making, we investigate the possibility of improving upon the prediction accuracy of popular...

“Bottom-up” visual perception is fast, universal, and does not depend on personal goals or experience. Where exactly bottom-up attention is directed in a visual image-- usually based on contrast, color, feature orientation, and centrality-- can be accurately predicted by machine-learned...

We introduce a neureconomic "autopilot" model of habit, based on many studies of animal learning and human habituation. In this approach, there are two systems for valuation-- habit and goal-directed. The habitual system recalls the previous choice (which can be dependent on a contextual state),...

We integrate a neuroeconomic concept of habit into a structural consumer choice model. We propose that habit represents a distinct decision-making mode, in which past choices are automatically repeated, in contrast with state- dependent utility maximization. Transitions between these decision...