The Impact of Emotional Disturbances on the Arrest Trajectories of Youth as They Transition into Young Adulthood

This article identifies the arrest trajectories of youth from ages 12 through 24 years old and tests hypotheses derived from Moffitt’s developmental taxonomic theory of crime concerning the impact of various emotional disturbances on the specific trajectories of the youth involved. The study uses exclusively administrative data sets and includes a gender and racially diverse sample of 10,360 youth (30.7 % females) who were arrested at least once between ages 12 and 24 in the early 2000s. Latent class growth analysis was employed in order to identify distinct arrest trajectories of youth in the sample. Multinomial logistic regression was used to identify diagnostic and other characteristics associated with membership in the specific trajectories predicted by Moffitt’s theory. Five trajectory classes were identified, 3 of which were consistent with taxonomic theory including high and classic adolescence limited trajectory classes and a “snared adolescence limited class” described more recently by Moffitt. The distribution of youth among the 5 classes was very different for those with and without emotional disturbances. Youth with emotional disturbances in their late adolescent years were more likely to fall into the high arrest trajectory class and much less likely to fall into the low arrest trajectory class. Compared to youth without an emotional disturbance, youth with psychotic disorders were more than twice as likely to fall into the high as into the low arrest trajectory class. Youth with disruptive behavior disorders were more than twice as likely to fall into the high and intermediate classes as into the low trajectory class. Anxiety and depressive disorders were not associated with significantly greater likelihood of falling into any one of the trajectory classes. Youth in the snared adolescence limited class were more likely than those in the classic adolescence limited class to be male, black versus white and in the foster care enrollment category lending some support to Moffitt’s conceptualization of this class as an adolescence limited class composed of youth who are snared by involvement in the criminal justice and or social services systems. Implications of these results for public policy and the study of adolescence are discussed.     

Political economy of crime and punishment under Stalin

Why do dictatorships favor harsher punishments than democracies? We use a rational choice approach to explain the stylized facts of Stalin’s dictatorship—preference for harsh sanctions, higher incarceration rates, greater use of capital punishment, low tolerance for theft of state property and workplace violations. They are shown to be explained by the preferences of a rational dictator, who does not internalize the social and private cost of punishment.     

Peer effects in private and public schools across countries

Many argue that the composition of a school or classroom‐that is, the characteristics of the students themselves‐affect the educational attainment of an individual student. This influence of the students in a classroom is often referred to as a peer effect. There have been few systematic studies that empirically examine the peer effect in the educational process. In this research, we examine the peer effect with a unique data set that includes individual student achievement scores and comprehensive characteristics of the students' families, teachers, other school characteristics, and peers for five countries. The data allow an examination of peer effects in both private and public schools in all countries. Our analysis indicates that peer effects are a significant determinant of educational achievement; the effects of peers appear to be greater for low‐ability students than for high‐ability students. The finding is robust across countries but not robust across school type. © 2000 by the Association for Public Policy Analysis and Management.     

Estimation of age-at-death for adult males using the acetabulum, applied to four Western European populations

Methods to estimate adult age from observations of skeletal elements are not very accurate and motivate the development of better methods. In this article, we test recently published method based on the acetabulum and Bayesian inference, developed using Coimbra collection (Portugal). In this study, to evaluate its utility in other populations, this methodology was applied to 394 specimens from four different documented Western European collections. Four strategies of analysis to estimate age were outlined: (a) each series separately; (b) on Lisbon collection, taken as a reference Coimbra collection; (c) on Barcelona collection, taken as a reference both Portuguese collections; and (d) on London collection taken as reference the three Iberian collections combined. Results indicate that estimates are accurate (83-100%). As might be expected, the least accurate estimates were obtained when the most distant collection was used as a reference. Observations of the fused acetabulum can be used to make accurate estimates of age for adults of any age, with less accurate estimates when a more distant reference collection is used.     

Elemental tests of the traditional rational voting model

A simple, robust, quasi-linear, structural general equilibrium rational voting model indicates turnout by voters motivated by the possibility of deciding the outcome is bell-curved in the ex-post winning margin and inversely proportional to electorate size. Applying this model to a large set of union certification elections, which often end in ties, yields exacting, lucid tests of the theory. Voter turnout is strongly related to election closeness, but not in the way predicted by the theory. Thus this relation is generated by some other mechanism, which is indeterminate, as no existing theory explains the nonlinear patterns of turnout in the data.