This paper accomplishes two objectives. First, this paper estimates a model for oil wells drilled in the Gulf of Mexico using specific time series models. In the second objective, the number of wells drilled are applied to the COMPAS model for Louisiana. Wells drilled are treated as final demand...

This paper accomplishes two objectives. First, this paper estimates a model for oil wells drilled in the Gulf of Mexico using specific time series models. In the second objective, the number of wells drilled are applied to the COMPAS model for Louisiana. Wells drilled are treated as final demand...

This study uses a mixed logit model to analyze monetary and nonmonetary factors that influence location choice behavior of the U.S. Gulf of Mexico shrimpers. Shrimpers’ responses to economic conditions are compared and contrasted for two periods related to changing economic conditions in...

In response to nutria-linked degradation of much of its coastal wetlands, Louisiana established the Coastwide Nutria Control Program (CNCP) in January 2002. CNCP instituted, among other things, an ‘‘economic incentive payment’’ of $4.00 per delivered nutria tail from...

Coastal wetland loss has been a major problem in Louisiana, exceeding 1.2 million acres over the last century alone. Although federal, state, and local efforts have attempted to combat this loss from a public perspective, little has been done to encourage private landowners to maintain and...

Location choice is one of the most important short-run decisions made by commercial fishermen. Previous studies of location choice by commercial fishermen have focused primarily on site fidelity, profit-maximization behavior, and risk attitudes as factors influencing their location choice...

Based on 1990-2004 quarterly data, U.S. and E.U. demand for imported shrimp by alternative supply sources was examined within an Almost Ideal Demand System framework. For the United States, supply sources included Central America, South America, and Asia. Supply sources for the European Union...