Researchers and practitioners who use Data Envelopment Analysis often want to incorporate several inputs and outputs in their model to consider as much relevant information as possible. However, too many inputs and outputs can result in the well-known dimensionality problem referred to as the...

In this paper the climate change effect is an unforeseen earth temperature level above which a negative externality on technology and hence on society's welfare is exerted. We use a dynamic overlapping generations model to develop a positive analysis of the growth path of an economy with the...

Discrete-time stochastic models of management of groundwater resources have been extensively used for understanding a variety of issues in groundwater management for agriculture. Most models used suffer from two drawbacks: relatively simplistic treatment of the cost of water extraction (remarked...

This article analyses management of hydropower dams within monopolistic and oligopolistic competition and when hydroelectricity producers are risk averse and face demand uncertainty. In each type of market structure we analytically determine the water release path in closed-loop equilibrium. We...

Discrete-time stochastic models of groundwater management have been extensively used for understanding a variety of issues in groundwater management for agriculture. Most models used suffer from two drawbacks: relatively simplistic treatment of extraction cost (remarked in many papers in the...

Governments face the daunting task of developing policies and making investment decisions for climate change adaptation in an environment that consist of complex, interlinked systems with manifold uncertainties. Instead of responding to surprises and making decisions on ad hoc basis, a...

Model uncertainty is inherent in the design of optimal environmental policy. We investigate the consequences in a simple linear model, where the aim of the policymaker is to stabilize the carbon content of the atmosphere. We study how decision-makers' concerns about robustness alter policy using...

Environmental managers face substantial uncertainty when deciding on management actions. To reduce this uncertainty prior to decision-making, collecting new data may help arrive at more informed decisions. Whether any resulting improvement in the decision will outweigh the cost of collecting the...

This paper analyzes sectoral transition risk in the US using a general equilibrium production network that captures the full supply chain. Unlike prior approaches, this model contains sufficient granularity to separate out key green and fossil-fuel sectors through its calibration on...

Standard portfolio construction models are based on the implicit assumption that all information relevant to making investment choices is probabilizable. However, both empirical behaviors of market participants and the increased success of approaches like risk parity underly an implicit...