How do pandemics affect for-profit and not-for-profit organizations differently? To address this question, we analyze optimal lockdowns in a two-sector continuous-time individual-based mean-field epidemiological model. We uncover a unique solution that depends on network structure, lockdown...

How do pandemics affect for-profit and not-for-profit organizations differently? To address this question, we analyze optimal lockdowns in a two-sector continuous-time individual-based mean-field epidemiological model. We uncover a unique solution that depends on network structure, lockdown...

We develop an axiomatic foundation for the classical problem of paying workers in settings where their actions are not observed by the employer. The latter only observes the distribution of ability and demands fairness. First, we uniquely characterize workers’ expected pay thanks to a set of...

What pay can a worker expect when he is unsure about his ability (or effort supply) and that of his co-workers? Workers have varying (unobserved) abilities, but can observe their distributions in the population. We uncover four findings. First, we uniquely characterize workers' expected pay in a...

How do pandemics affect for-profit and not-for-profit organizations differently? To address this question, we analyze optimal lockdowns in a two-sector continuous-time individual-based mean-field epidemiological model. We uncover a unique solution that depends on network structure, lockdown...

Ranked voting is an election format in which each voter ranks candidates on a ballot, and individual rankings are aggregated using a general rule to produce a social ranking. This paper proposes a non-cooperative model of this electoral system. The setting allows for unequal voting rights,...

Do the effects of government policy response to health crises differ for for-profit and not-for-profit organizations? We address this question through the lens of a two-sector continuous-time individual-based mean-field theoretical model that incorporates a non-random social network. Using...