An Exploration of Family and Juvenile Justice Systems to Reduce Youth HIV/STI Risk

Using in‐depth interviews with 20 probation youth (60% female; 35% White; 30% Hispanic; mean age: 15 years, range = 13–17), their caregivers (100% female; mean age: 44 years, range = 34–71), and 12 female probation officers (100% White; mean age: 46 years, range = 34–57), we explored how family and probation systems exacerbate or mitigate sexual risk. We conducted thematic analyses of interviews, comparing narratives of families of sexually risky (n = 9) versus nonsexually risky (n = 11) youth. Family functioning differed by youth sexual risk behavior around quality of relationships, communication, and limit setting and monitoring. The involvement of families of sexually risky youth in probation positively influenced family functioning. Data suggest that these families are amenable to intervention and may benefit from family‐based HIV/STI interventions delivered in tandem with probation.     

How Selective Are Real Wage Cuts? A Micro‐analysis Using Linked Employer–Employee Data

Using linked employer–employee panel data for Germany, we investigate whether firms implement real wage reductions in a selective manner. In line with insider–outsider and several strands of efficiency wage theory, we find strong evidence for selective wage cuts with high‐productivity workers being spared even when controlling for permanent differences in firms' wage policies. In contrast to some recent contributions stressing fairness considerations, we also find that wage cuts increase wage dispersion among peers rather than narrowing it. Notably, the same selectivity pattern shows up when restricting our analysis to firms covered by collective agreements or having a works council.     

Student mental health needs: survey results and implications for service.

In preparation for planning counseling and mental health services at Columbia University, the authors conducted a mental health needs assessment survey that sampled representative numbers of students. Respondents were most concerned about academic and school-related issues, followed by concerns in the area of love relationships. Multiple regression analysis revealed certain subgroups that were more likely to have these concerns and certain health and mental health problems that were significantly associated with these concerns. The study identified serious psychological problems, including suicidal/homicidal thoughts and sexual abuse, and surveyed respondents' treatment preferences. Finally, the authors discuss how the study findings contributed to sharpening and expanding focus on different aspects of program development in the collaboration between mental health and health education.     

Survival analysis for a new compounded bivariate failure time distribution in shock and competing risk models via an EM algorithm

Abstract

In this paper, two bivariate models based on the proposed methods of Marshall and Olkin are introduced. In the first model, the new bivariate distribution is presented based on the proposed method of Marshall and Olkin (1967 Marshall, A. W., and I. Olkin. 1967. A multivariate exponential distribution. Journal of the American Statistical Association 62 (317):30–44. doi: 10.2307/2282907.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) which has natural interpretations, and it can be applied in fatal shock models or in competing risks models. In the second model, the proposed method of Marshall and Olkin (1997 Marshall, A. W., and I. Olkin. 1997. A new method of adding a parameter to a family of distributions with application to the exponential and weibull families. Biometrika 84 (3):641–52. doi: 10.1093/biomet/84.3.641.[Crossref], [Web of Science ®] , [Google Scholar]) is generalized to bivariate case and a new bivariate distribution is introduced. We call these new distributions as the bivariate Gompertz (BGP) distribution and bivariate Gompertz-geometric (BGPG) distribution, respectively. Moreover, the BGP model can be obtained as a special case of the BGPG model. Then, we present various properties of the new bivariate models. In this regard, the joint and conditional density functions, the joint cumulative distribution function can be obtained in compact forms. Also, the aging properties and the bivariate hazard gradient are discussed. This model has five unknown parameters and the maximum likelihood estimators cannot be obtained in explicit form. We propose to use the EM algorithm to compute the maximum likelihood estimators of the unknown parameters, and it is computationally quite tractable. Also, Monte Carlo simulations are performed to investigate the effectiveness of the proposed algorithm. Finally, we analyze three real data sets for illustrative purposes.     

Arbitration and the incentive to bargain: The role of expectations and costs

This study examines, within the context of a model developed recently by Farber and Katz, the role of expectations, uncertainty, and costs on the incentive to bargain. It is shown that experience with a compulsory arbitration process can best be viewed as creating opposing effects on the frequency of use. While decreased uncertainty will reduce incentives to bargain, the convergence of expectations can work either to increase or decrease arbitration usage over time. Empirical evidence, while suggestive, is found to be too limited to draw strong conclusions on the relative magnitude of these effects. In addition, the paper incorporates arbitration costs into the bargaining model, and the effects of costs on arbitration usage and on the outcomes of negotiated settlements are examined. Available evidence on the magnitude of direct arbitration costs is then summarized. Because these costs are often low and provide little incentive to bargain, the authors suggest a policy approach for levying costs on the parties. The authors thank Vincent Crawford, Henry Farber, Thomas Kochan, and James Bennett for helpful comments and Pamela Marett for research assistance.     

Implementation and results of the statewide ONHRSS

In response to increased consumer demand, state governments are publishing more detailed information about the quality of nursing homes. In 2002, Ohio legislation mandated the publication of a Long-Term Care Consumer Guide that included information on nursing home resident and family satisfaction surveys. Using the 2002 Ohio Nursing Home Resident Satisfaction Survey as an example, this article addresses two research questions: (1) how can statewide resident face-to-face satisfaction interviews be implemented to maximize participation of residents and facilities and produce reliable and valid results, and (2) how satisfied are residents with their nursing home experiences, overall and by level of cognitive function.     

WAGE DIFFERENTIALS ACROSS LABOR MARKETS AND WORKERS: DOES COST OF LIVING MATTER?

Wage differential studies rarely account for interarea differences in cost of living, owing both to data limitations and theoretical ambiguity. This study develops a price index for 185 metropolitan areas comprising about 70% of the U.S. labor force. Current Population Survey data for 1985–95 and data on site-specific amenities are used to estimate earnings differentials based on nominal wages, wages fully adjusted for measured cost of living, and a simple approximation of "real" wages with partial adjustment for price-level differences. Dispersion in approximate real wages across 185 labor markets and differentials by region and city size are substantially lower than dispersion in nominal or full adjustment wages. Estimates of racial and ethnic differentials display moderate sensitivity to choice of a wage measure, whereas other standard differentials do not. Both nominal wages and wages fully adjusted for cost of living may provide misleading estimates of real wage differentials. Absent data on interarea prices and amenities, researchers should include detailed controls for region and city size in nominal wage equations. ( JEL J31, R23)