Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We study how a rationally inattentive decision maker chooses state-contingent actions under uncertainty in complex environments. We explore a series of decision problems by varying the number of states as well as incentive structures. We fully characterize the theoretical solutions and compare them to choices made by subjects facing those problems in a controlled laboratory experiment.