Southern culture and patterns of victim‐offender relationships in homicide: A study of primary and nonprimary homicide in Louisiana

This paper examines the relative influence of Southern culture versus social structural features on primary (dispute motivated) and nonprimary (crime motivated) homicide rates in Louisiana. Multiple regression analysis is used to compare the determinants of homicide in parishes ("counties") with typical Southern cultural heritage with those of parishes with French‐Catholic heritage. It was found that Southern culture exerted a greater positive influence on primary homicide rates than most structural variables, but was negative with respect to nonprimary rates. Implications for clarifying the debate concerning the existence of a Southern subculture of violence are discussed.     

A pilot study of CBT versus escitalopram combined with CBT in the treatment of pathological gamblers

We conducted a randomised controlled trial pilot study (N = 30) with two treatment groups: (1) Manualised cognitive behavioural therapy (CBT) (n = 15) and (2) escitalopram combined with CBT (n = 15). Treatment was administered individually and the CBT included weekly sessions for eight consecutive weeks. The treatment with escitalopram lasted for a minimum of 16 weeks (20 mg/day), with an optional continuation for a 6-month follow-up period. Repeated measures ANOVA with modified intent-to-treat analyses were conducted. Results showed significant time effects on all measures for both treatment conditions, although no significant group or time × group effects. The results indicated that both treatments were effective in the short term (effect sizes (ES) ranging from 0.45 to 0.91 for the CBT group and 0.27 to 0.72 for the escitalopram+CBT group), and that adding CBT to escitalopram had no additional statistically significant effect (between-group ES of 0.11 and 0.29 for primary outcome measures at 16-weeks post-treatment).     

The Earned Income Tax Credit and Rural Families: Differences Between Non-participants and Participants

Differences between rural low-income mothers who were non-participants and participants in the Earned Income Tax Credit (EITC) were examined. About one-third (35%) of the 224 eligible mothers in a multi-state USDA study, Rural Families Speak, did not claim the tax credit. The EITC non-participants were more likely to be Hispanic, be less educated, have larger families, perceive their income as being inadequate, live in more rural counties, and possess little understanding of the EITC. Participating mothers were more likely to be single, food secure, and satisfied with life. Analysis of qualitative data revealed that the mothers had many misconceptions about the EITC. These findings assist in formulating policies and outreach efforts that may increase rural low-income families’ EITC participation.     

Income inequality games

The paper explores different applications of the Shapley value for either inequality or poverty measures. We first investigate the problem of source decomposition of inequality measures, the so-called additive income sources inequality games, based on the Shapley value, introduced by Chantreuil and Trannoy (1999) and Shorrocks (1999). We show that multiplicative inequality games provide dual results compared with Chantreuil and Trannoy’s ones. We also investigate the case of multiplicative poverty games for which indices are non additively decomposable in order to capture contributions of sub-indices, which are multiplicatively connected with, as in the Sen-Shorrocks-Thon poverty index. We finally show, in the case of additive poverty indices, that the Shapley value may be equivalent to traditional methods of decomposition such as subgroup consistency and additive decomposition.     

Surveillance of the covariance matrix of multivariate nonlinear time series

In this paper, sequential procedures for the surveillance of the covariance matrices of multivariate nonlinear time series are introduced. Two different types of control charts are proposed. The first type is based on the exponential smoothing of each component of a local measure for the covariances. The control statistic is equal to the Mahalanobis distance of this quantity with its in-control mean. In our second approach, the Mahalanobis distance is first determined and after that it is exponentially smoothed. We discuss three examples of local measures.

Several properties of the proposed schemes are discussed assuming the target process to be generated by a multivariate GARCH(1, 1) model. The generalization to the family of spherical distributions allows the modelling of frequently observed fat tails in financial data. Some results of an extensive Monte Carlo simulation study are provided in order to judge the performance of the presented control schemes. As a performance measure we use the average run length. An empirical example illustrates the importance of the fast detection of the changes in the covariance structure of the returns of financial assets.