This paper studies optimal task assignments in a setting where agents are expectation-based loss averse according to KoszegiRabin (2006) and KoszegiRabin (2007) and are compensated according to an aggregated performance measure in which tasks are technologically independent. We show that the...

This paper studies optimal task assignments in a risk neutral principal-agent model in which agents are compensated according to an aggregated performance measure. The main trade-off involved is one in which specialization allows the implementation of any possible effort profile, while...

We scrutinize the conceptual framework commonly used in the incomplete contract literature. This literature usually assumes that contractual incompleteness is due to the transaction costs of describing - or of even foreseeing - the possible states of nature in advance. We argue, however, that...

Expected consumer's surplus rarely represents preferences over price lotteries. Still, I give sufficient conditions for policies which maximize aggregate expected surplus to be interim Pareto Optimal. Besides two standard partial equilibrium conditions, I assume that feasible prices satisfy a...

We propose robust optimization models and their tractable approximations that cater for ambiguity-averse decision makers whose underlying risk preferences are consistent with constant absolute risk aversion (CARA). Specifically, we focus on maximizing the worst-case expected exponential utility...