How do people actually make decisions when faced with limited attention, costly search, or cognitive costs? Traditional economic models often assume that individuals weigh all options effortlessly and act optimally. But a growing body of theoretical experimental research reveals a more nuanced picture, whereby the process by which people gather and use information – on prices, the stock market, inflation, competitors, politicians, etc. – plays a central role in shaping their choices.
In this course, we focus on experiments that open up the black box of decision-making. We study how individuals explore alternatives, how time pressure affects behaviour, how attention is allocated, and how these frictions interact with incentives and beliefs. This line of research bridges several fields within economics and beyond (cognitive sciences and computer science) and draws on methods from decision theory, behavioural economics, and information theory. It has deep implications for policy and for theory alike: if people fail to learn optimally or ignore relevant information, how should we model their behaviour—and how should we design institutions in response?
Our aim is to understand the state of the art, examine key findings, critique methods, and develop research ideas that bring us closer to understanding how people actually choose.