Revenue forecasting is one of the most critical and often difficult tasks in governmental budgeting. It is critical because it determines the parameters upon which the budget is based. It is difficult because many outside influences can impact revenue results and cause variances with the...

"Institutional approaches to social dilemmas have so far focused on how to create incentive structures that channel individuals' behavior into socially desirable outcomes assuming that everyone is selfish. However, the presumption of universal selfishness is not only empirically invalid but may...

1. Introduction Power industry deregulation and electricity market restructuring, which began in Chile in the 1980s and then spread to Norway, New Zealand and the UK, were introduced in the United States with the passage of the Energy Policy Act (EPA) of 1992 (Jameson, 1997). The EPA and...

Regression analysis has shown that recovery rates are determined by a variety of conditions at the time of default. These conditions can be broken into five major categories: (1) a security's seniority within the capital structure of the defaulting firm, (2) the type of default event, (3)...

This study examines the relationship between movie budgeting and the creative process in Hollywood filmmaking. To understand the effects of this relationship on the creative product, several films are analyzed within the production process where conflicts between the investors and creators are...

In this paper, we explore empirically whether the USDA Forest Service's litigation success rate in each Forest Service region helps explain the persistent regional effects noted by Laband et al. (Laband, D.N., González-Cabán, A., and Hussain, A. (2006). “Factors That Influence...

We estimate a CBS system model of U.S. derived demand for meat. We use this model (1) to examine relationships between three quality categories of beef and three other meats and (2) to simulate how taste shifts have affected demands for meats over time. We extend previous studies by...

This paper presents a novel methodology for multi-scale and multi-type spatial data integration in support of insect pest risk/vulnerability assessment in the contiguous United States. Probability of gypsy moth (Lymantria dispar L.) establishment is used as a case study. A neural network...