This paper examines the health performance rankings of the 50 U.S. state governments (SGs), and addresses the relationship between SG performance rankings and SG environmental health, economic prosperity, and state healthcare policy. We use the data envelopment analysis (DEA) to estimate and...

We model the super-replication of payoffs linked to a country's GDP as a stochastic linear program on a discrete time and state-space scenario tree to price GDP-linked bonds. As a byproduct of the model, we obtain a hedging portfolio. Using linear programming duality we also compute the risk...

We express the opinion that sovereign debt sustainability analysis must be augmented by stochastic correlated risk factors and a risk measure to capture tail effects. Crisis situations can thus be adequately specified and analyzed with sufficient accuracy to warrant the relevance of policy...

The expected penalty for drunk driving can and does vary by blood alcohol content. This paper outlines the quot;penalty structurequot; that does this optimally, using two different metrics, shows how the optimality conditions can be implemented with available data to analyze policy ex ante or ex...

Policy makers must often cope with circumstances where there is no consensual scientific model of the matter under consideration. We formally represent this situation as one of handling a robust optimization problem. This provides a framework to rigorously compare some commonly used approaches...

The accumulated evidence indicates that pure revenue models, such as free-access models (where the revenue is solely dependent on advertisements) or pure subscription fee based models (where the revenue is solely based on subscription fees, and advertisements are not shown to customers), are not...

We present a modification of the most commonly used integrated assessment model (IAM) of climate change (DICE-2016), AD-DICE2016, which is designed to address three key aspects of climateeconomy models: treatment of uncertainty, the use of more appropriate utility functions, and including...

Companies which wish to operate on the market must constantly discover and shape new potentials and abilities to create benefits that might ensure them long-term increase in efficiency and development. One of the ways to gain economic advantage is to reduce costs in all possible areas of their...

We study the optimal design of a queueing system when agents' arrival and servicing are governed by a general Markov process. The designer of the system chooses entry and exit rules for agents, their service priority---or queueing discipline---as well as their information, while ensuring that...

How does a private market influence the optimal design of a public program? In this paper, I study a designer who has preferences over how a public option and a private good are allocated. However, she can design only the public option. Her design affects the distribution of consumers who...