THE METRICS OF STYLE: ADAM SMITH TEACHES EFFICIENT RHETORIC

Does style matter for economic writing? Several stylistic characteristics of ninety-seven AEA presidential addresses, including word length, sentence length and percent of sentences in the passive voice, were computed and used to explain citations to these economists' work. Avoidance of the passive is an old stylistic norm given by Adam Smith. Word length and sentence length serve as modern stylistic norms. Only the percent passive matters to explain citations. Perhaps not coincidentally, while writing clarity in our data set has declined over time when measured by the new norm, it has improved when measured by the old norm.     

Setting Up a Rural Private Practice*

This irreverent, somewhat breezy paper describes the experience of the author in establishing a private practice in an unusual setting and offers some observations for others. Editor.     

An examination of the relationship between child sexual offending and psychopathy

The participants in this study were adult males (N = 111) who were accused of various sexual crimes against children 16 years of age or younger, and who were evaluated at a state forensic facility in a large Midwestern state. This study examined the relationship of Psychopathy Checklist-Revised (PCL-R) scores to type of child sexual offender (same sex extrafamilial, opposite sex extrafamilial, and incest offenders), the presence of violence during the most recent child sexual offense, and criminal versatility. Results indicated that those sexual offenders who employed physical violence against the children they abused were significantly more psychopathic than those who did not. No significant differences were found between types of child sexual offenders or with general criminal versatility.     

A robust process capability index

The existing process capability indices (PCI's) assume that the distribution of the process being investigated is normal. For non-normal distributions, PCI's become unreliable in that PCI's may indicate the process is capable when in fact it is not. In this paper, we propose a new index which can be applied to any distribution. The proposed indexC_f:, is directly related to the probability of non-conformance of the process. For a given random sample, the estimation of C_f boils down to estimating non-parametrically the tail probabilities of an unknown distribution. The approach discussed in this paper is based on the works by Pickands (1975) and Smith (1987). We also discuss the construction of bootstrap confidence intervals of C_f: based on the so-called accelerated bias correction method (BC _a:). Several simulations are carried out to demonstrate the flexibility and applicability of C_f:. Two real life data sets are analyzed using the proposed index.