We address the problem of finding the optimal lockdown and reopening policy during a pandemic like COVID-19 for a social planner who prioritizes health over the economy. Agents are connected through a fuzzy network of contacts, and the planner's objective is to determine the policy that contains...

Frequent violations of fair principles in real-life settings raise the fundamental question of whether such principles can guarantee the existence of a self-enforcing equilibrium in a free economy. We show that elementary principles of distributive justice guarantee that a pure-strategy Nash...

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...

This study develops an economic model for a social planner who prioritizes health over short- term wealth accumulation during a pandemic. Agents are connected through a weighted undirected network of contacts, and the planner's objective is to determine the policy that contains the spread of...

This study presents a three-stage game demonstrating how consumer demands for products and trees and net-zero emission requirements can affect a firm's incentive to undertake carbon capture, utilization, and storage technology (CCUS) efforts. On the policy front, the regulator sets a combination...

This study presents a three-stage game demonstrating how consumer demands for products and trees and net-zero emission requirements can affect a firm's incentive to undertake carbon capture, utilization, and storage technology (CCUS) efforts. On the policy front, the regulator sets a combination...

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 consider the problem of valuing inputs in a production environment in which input supply is uncertain. Inputs can be workers in a firm, risk factors for a disease, securities in a financial market, or nodes in a networked economy. Each input takes its values from a finite set, and uncertainty...

We study the Shapley wage function, a wage scheme in which a worker's pay depends both on the number of hours worked and on the output of the firm. We then provide a way to measure the distance of an arbitrary wage scheme to this function in limited datasets. In particular, for a fixed...

Aguiar, Pongou, and Tondji (2018) propose the Shapley distance as a measure of the extent to which output sharing among the stakeholders of an organization can be considered unfair. It measures the distance between an arbitrary pay profile and the Shapley pay profile under a given technology,...