The Impact of State Abortion Policies on Teen Pregnancy Rates

The availability of abortion provides insurance against unwanted pregnancies since abortion is the only birth control method which allows women to avoid an unwanted birth once they are pregnant. Restrictive state abortion policies, which increase the cost of obtaining an abortion, may increase women’s incentive to alter their pregnancy avoidance behavior, thereby reducing the likelihood of unwanted pregnancies. This study, using state-level data for the years 1982, 1992, and 2000, examines the impact of restrictive state abortion laws on teen pregnancy rates. The empirical results indicate that the price of an abortion, Medicaid funding restrictions, and informed consent laws reduce teen, minor teen and non-minor teen pregnancy rates. The empirical results suggest that these abortion policy restrictions affect the unprotected sexual activity of teens resulting in fewer unwanted teen pregnancies.     

Empirical null distribution-based modeling of multi-class differential gene expression detection

In this paper, we study the multi-class differential gene expression detection for microarray data. We propose a likelihood-based approach to estimating an empirical null distribution to incorporate gene interactions and provide a more accurate false-positive control than the commonly used permutation or theoretical null distribution-based approach. We propose to rank important genes by p-values or local false discovery rate based on the estimated empirical null distribution. Through simulations and application to lung transplant microarray data, we illustrate the competitive performance of the proposed method.     

The evolving market structures of gambling: case studies modelling the socioeconomic assignment of gaming machines in Melbourne and Sydney,Australia

The expansion of gambling industries worldwide is intertwined with the growing government dependence on gambling revenue for fiscal assignments. In Australia, electronic gaming machines (EGMs) have dominated recent gambling industry growth. As EGMs have proliferated, growing recognition has emerged that EGM distribution closely reflects levels of socioeconomic disadvantage. More machines are located in less advantaged regions. This paper analyses time-series socioeconomic distributions of EGMs in Melbourne, Australia, an immature EGM market, and then compares the findings with the mature market in Sydney. Similar findings in both cities suggest that market assignment of EGMs transcends differences in historical and legislative environments. This indicates that similar underlying structures are evident in both markets. Modelling the spatial structures of gambling markets provides an opportunity to identify regions most at risk of gambling related problems. Subsequently, policies can be formulated which ensure fiscal revenue from gambling can be better targeted towards regions likely to be most afflicted by excessive gambling-related problems.     

Acculturation, gender stereotypes, and attitudes about dating violence among Latino youth

This study examined the relationship between personal characteristics (gender, acculturation, belief in gender stereotypes, recent dating experiences), and attitudes and knowledge about dating violence in urban Latino youth (N = 678). All participants completed self-administered surveys at school. Relative to girls, boys held more problematic (proviolence) attitudes about dating violence and reported less knowledge about dating violence and its consequences. Teens who were more traditional (less acculturated), those who endorsed gender stereotypes, and those who reported recent fearful dating experiences tended to report less knowledge about abuse and lower endorsement of nonviolent attitudes. Multivariate analyses revealed that all four personal variables predicted dating violence knowledge. By contrast, attitudes were predicted by endorsement of gender stereotypes only, or gender stereotypes and gender. Implications for dating violence interventions and future directions for research are explored.     

Family Structure,Policy Shocks,and Family Business Adjustment Choices

This research used survey data collected between 2005 and 2006 in rural Kentucky to empirically investigate how different types of rural households in Kentucky cope with the changes in economic environment during the post-tobacco buyout by employing two different family business models, the Agricultural Household Model and the Sustainable Family Business Model. Data were analyzed using a multinomial probit model. The results indicate that multi-generational households were more likely to invest in low risk investments and less likely to employ a family member off-farm than couples with young children. Therefore, family structure plays an important part in the types of adjustment strategies chosen by farm families. The results also indicate that the Sustainable Family Business Model is a better predictor of the observed correlation between family structure and family farms’ choices of adaptation strategies.     

Framing the landscape: Discourses of woodland restoration and moorland management in Scotland

There is a long-standing debate in Scotland over the use of upland areas, as initiatives to restore the native Caledonian pine forest are vying with traditional moorland management for shooting.     

Infant Brain Responses to Object Weight: Exploring Goal‐Directed Actions and Self‐Experience

Recent work has suggested the value of electroencephalographic (EEG) measures in the study of infants' processing of human action. Studies in this area have investigated desynchronization of the sensorimotor mu rhythm during action execution and action observation in infancy. Untested but critical to theory is whether the mu rhythm shows a differential response to actions which share similar goals but have different motor requirements or sensory outcomes. By varying the invisible property of object weight, we controlled for the abstract goal (reach, grasp, and lift the object), while allowing other aspects of the action to vary. The mu response during 14‐month‐old infants' own executed actions showed a differential hemispheric response between acting on heavier and lighter objects. EEG responses also showed sensitivity to “expected object weight” when infants simply observed an experimenter reach for objects that the infants' prior experience indicated were heavier vs. lighter. Crucially, this neural reactivity was predictive—during the observation of the other reaching toward the object, before lifting occurred. This suggests that infants' own self‐experience with a particular object's weight influences their processing of others' actions on the object, with implications for developmental social‐cognitive neuroscience.