RAILROAD POLICY AND INTERMODALISM: Policy Choices after Deregulation

Intermodalism is widely viewed as a promising recent development in transportation. This article examines the role played by railroads in intermodal freight transportation and the framework of public policies around whic intermodal freight movement has evolved. Intermodalism emerged because of technological, organizational, and public policy developments that contributed to its rapid growth. Deregulation of the rail industry since 1980 has led to significant restructuring through mergers and direct contracts between railroads and customers. As intermodal shipments become more important to the overall transportation system in the United States, attention will need to be given to ways in which intermodal concerns are addressed in surface transportation programs.     

A multinominal logit analysis of the influence of policy variables and board experience on FOMC voting behavior

Previous studies have used probit or logit models to analyze two states of monetary policy (tighter or looser). In this paper we employ multinominal logit to permit Federal Reserve monetary policy to assume one of three alternative states (tighter, looser, or no change) as a function of three independent economic variables (unemployment, real growth, and inflation) and the amount of experience of the Board of Governors. The results indicate that the Federal Reserve reacted differently under Burns, Miller and Volcker and between Volcker's two operating procedures in the formulation of monetary policy.     

A coffee can, factor analysis, and prediction of antisocial behavior: the structure of criminal risk

The predictive accuracy of the Psychopathy Checklist-Revised, Level of Service Inventory-Revised, Violence Risk Appraisal Guide, and the General Statistical Information on Recidivism were compared to four instruments randomly generated from the total pool of original items. None of the four original instruments better predicted post-release failure than the four randomly generated instruments. These results suggest two conclusions: (a) the instruments are only measuring criminal risk, and (b) no single instrument has captured sufficient risk assessment theory to result in better prediction than randomly derived instruments measuring criminal risk. A two-stage factor analysis was completed on 1614 cases. This analysis of the risk items indicated a 4-factor solution and all 4 factors were equal to the original instruments in predicting post-release failure. Thus, the original instruments did not improve prediction over randomly structured scales, nor did the restructuring of items improve risk assessment, suggesting substantial deficiencies in the conceptualization of risk assessment and instrumentation. We argue that developing a risk-based construct, which involves hypothesis testing and an explanation of behavior, is the optimal method to advance risk assessment within the criminal justice and mental health systems. Such an approach would provide targeted areas for clinical intervention that are salient to risk.     

From animal cruelty to serial murder: applying the graduation hypothesis

Although serial murder has been recorded for centuries, limited academic attention has been given to this important topic. Scholars have attempted to examine the causality and motivations behind the rare phenomenon of serial murder. However, scant research exists which delves into the childhood characteristics of serial murderers. Using social learning theory, some of these studies present supporting evidence for a link between childhood animal cruelty and adult aggression toward humans. Based on five case studies of serial murderers, we contribute to the existing literature by exploring the possible link between childhood cruelty toward animals and serial murder with the application of the graduation hypothesis.