We show that grandfathering fishing rights to local users or recognizing first possessions is more dynamically efficient than auctions of such rights. It is often argued that auctions allocate rights to the highest-valued users and thereby maximize resource rents. We counter that rents are not...

We analyze a seldom used, but highly promising form of rights-based management over common pool resources that involves the self-selection of heterogeneous fishermen into sectors. The fishery management regime assigns one portion of an overall catch quota to a voluntary cooperative, with the...

Extending recent results in the industrial organization literature (Carvajal et al. 2013), we de-rive non-parametric tests of behavior consistent with the tragedy of the commons model. Our approach derives testable implications of such behavior under any arbitrarily concave, differentiable...

This study showcases the usefulness of field experiments to the study of environmental and resource economics. Our focus pertains to work related to field experiments in the area of 'behavioral' environmental and resource economics. Within this rubric, we discuss research in two areas: those...

We model the equilibrium price and quantity of risk transfer between firms and financial intermediaries. Value-maximizing firms have downward sloping demands to cede risk, while intermediaries, who assume risk, provide less-than-fully-elastic supply. We show that equilibrium required returns...

This paper examines the market for catastrophe event risk i.e., financial claims that are linked to losses associated with natural hazards, such as hurricanes and earthquakes. Risk management theory suggests protection by insurers and other corporations against the largest cat events is most...

Using a unique dataset of insurance decisions by over 1,800 large U.S. corporations, this study provides the first empirical analysis of firm behavior that compares corporate demand for property and catastrophe insurance (here, terrorism). We combine demand and supply data and apply a...