Mismanaging Diagnostic Accuracy Under Congestion

Diagnostic processes are difficult to manage because they require the decision maker (DM) dynamically balance benefit of acquiring more diagnostic information against cost doing so. When additional and unattended tasks build up over time, making this tradeoff becomes especially challenging. In their study “Mismanaging Accuracy Under Congestion,” Kremer de Véricourt uncover different biases which DMs subject when decisions while accumulate time. The authors find that, in experiments, overall insufficiently sensitive congestion. As a result, acquire too little at low congestion levels, but much high compared with an optimal normative benchmark. This fact increases both errors levels system. disentangle underlying mechanisms for these effects suggests approaches debias DMs.