We run an experiment to elicit preferences over state-contingent timed payouts. We analyze the data using a new revealed preference method (building on Nishimura et al., 2017) that can test for consistency with utility functions that increase with a given preorder. We find that correlation neutrality, a property implied by discounted expected utility, is widely violated and there is, instead, strong evidence of intertemporal correlation averse behavior. Our results suggest that utility is not additive across both states and time and that credible models of choice need to allow people to prefer negative correlation in timed payouts.

We examine path dependency in physician decisions in an emergency department setting, and find that physicians’ treatment decisions for the current and previous patients are positively correlated. We show that the positive autocorrelation is higher when the current patient is of greater medical uncertainty or more similar to the previous patient in terms of observed characteristics and when the physician is less experienced or more fatigued. We then show that these patterns are highly consistent with the memory and attention model, whereby the physician’s current decision is anchored to her previous decision. The results from both reduced-form analyses and structural estimations provide further support for the importance of memory and attention in physician decision-making.