Determinants of the timing of social insurance legislation among 18 OECD countries

The purpose of this paper is to determine which theory best explains the development of social insurance programs. The survival analyses of 4 social insurance programs in 18 OECD countries present mixed results. The adoption of each social insurance program is developed and related to a combination of industrialism, modernization, left-wing participation, state autonomy, and international environment. Based on these findings, it is concluded that no single paradigm adequately explains the adoption of each of the social insurance programs. However, the combination of two society-centered approaches – namely, logic of industrialism and political conflict explanation – and a state-centered approach better explains the origin and development of modern social policy than does the international diffusion theory.     

Examining the Relationship between Domestic Violence and Depression among Koreans: The Role of Self‐esteem and Social Support as Mediators

Domestic violence is a prevalent social issue in Korea affecting a significant number of people every day. It is thus important to examine how the experience of domestic violence affects their mental health to better address their needs. Using stress‐coping theory as a theoretical framework, this study examines the domestic violence and depression relationship among Korean men and women. Two aspects of self‐esteem and informal and formal social support are examined as potential mediators of this relationship. The data was the first wave of Korean Welfare Panel Study data including 2477 individuals with experiences of abuse. Structural equation modeling procedures were used for analyses. Domestic violence was significantly associated with self‐worth, self‐deprecation, and depression. The experiences of violence eroded self‐worth while reinforcing self‐deprecation and those with more exposure to violence showed a higher level of depression. Self‐deprecation played a significant role in mediating the effect of domestic violence on depression. However, different findings were yielded for social support. While informal social support was significantly associated with domestic violence, formal social support was not associated with domestic violence. Findings suggest for mental health interventions targeting self‐esteem, particularly the diminution of self‐deprecation in working with the victims. Suggestions for future research and implications for social work are also discussed.     

Interaction Effects of the Amount of Practice, Preferred Cane Technique, and Type of Cane Technique Used on Drop-off Detection Performance

This study examined the interaction effects of the amount of practice and the cane technique used in drop-off detection with a sample of 32 adults who were blind. The advantage of the constant contact technique over the two-point touch technique was significantly greater for the less experienced cane users than for the more experienced ones.     

Stochastic comparisons of order statistics,with applications in relibility

This paper reviews recent developments in the stochastic comparison of order statistics. The results discussed are basically: (l) Stochastic comparisons of linear combinations of order statistics from distributions F and G where G^?1 F is convex or starshaped. (2) Stochastic comparisons of individual order statistics and of vectors of order statistics from underlying heterogeneous distributions by the use of majorization and Schur function theory. (3) Stochastic comparison of random processes. Applications to reliability problems are presented illustrating the use and value of the theoretical results described     

Passenger Rail Security,Planning, and Resilience: Application of Network,Plume, and Economic Simulation Models as Decision Support Tools

We built three simulation models that can assist rail transit planners and operators to evaluate high and low probability rail‐centered hazard events that could lead to serious consequences for rail‐centered networks and their surrounding regions. Our key objective is to provide these models to users who, through planning with these models, can prevent events or more effectively react to them. The first of the three models is an industrial systems simulation tool that closely replicates rail passenger traffic flows between New York Penn Station and Trenton, New Jersey. Second, we built and used a line source plume model to trace chemical plumes released by a slow‐moving freight train that could impact rail passengers, as well as people in surrounding areas. Third, we crafted an economic simulation model that estimates the regional economic consequences of a variety of rail‐related hazard events through the year 2020. Each model can work independently of the others. However, used together they help provide a coherent story about what could happen and set the stage for planning that should make rail‐centered transport systems more resistant and resilient to hazard events. We highlight the limitations and opportunities presented by using these models individually or in sequence.     

紧缩时代的新极端主义和干扰政治

美国主流媒体有关财政悬崖危机等孤立议题的辩论,是一种转移公众注意力的干扰性话语政治学,它旨在强化去政治化和威权主义的新模式,割裂人们对个体困境与公共利益考虑之间的联系。在民主共和两党尤其是共和党极端主义对福利国家、公共利益和责任政府的大肆攻击之下,美国已经变成精神上的威权国家,市场极端主义和极端个人主义甚嚣尘上,想象力、能动性和希望被窒息。在此情况下,批判教育学成为正义、社会责任和民主意义的核心,帮助人们争取集体夺回民主斗争的胜利。     

Bounding the resampling risk for sequential Monte Carlo implementation of hypothesis tests

Sequential designs can be used to save computation time in implementing Monte Carlo hypothesis tests. The motivation is to stop resampling if the early resamples provide enough information on the significance of the p-value of the original Monte Carlo test. In this paper, we consider a sequential design called the B-value design proposed by Lan and Wittes and construct the sequential design bounding the resampling risk, the probability that the accept/reject decision is different from the decision from complete enumeration. For the B-value design whose exact implementation can be done by using the algorithm proposed in Fay, Kim and Hachey, we first compare the expected resample size for different designs with comparable resampling risk. We show that the B-value design has considerable savings in expected resample size compared to a fixed resample or simple curtailed design, and comparable expected resample size to the iterative push out design of Fay and Follmann. The B-value design is more practical than the iterative push out design in that it is tractable even for small values of resampling risk, which was a challenge with the iterative push out design. We also propose an approximate B-value design that can be constructed without using a specially developed software and provides analytic insights on the choice of parameter values in constructing the exact B-value design.     

Noninformative priors for the normal variance ratio

In this paper, we consider noninformative priors for the ratio of variances in two normal populations. We develop first and second order matching priors. We find that the second order matching prior matches alternative coverage probabilities up to the second order and is also a HPD matching prior. It turns out that among the reference priors, only one-at-a-time reference prior satisfies a second order matching criterion. Our simulation study indicates that the one-at-a-time reference prior performs better than other reference priors in terms of matching the target coverage probabilities in a frequentist sense. This work is supported by Korea Research Foundation Grant (KRF-2004-002-C00041).     

Directional mixture models and optimal estimation of the mixing density

The authors develop consistent nonparametric estimation techniques for the directional mixing density. Classical spherical harmonics are used to adapt Euclidean techniques to this directional environment. Minimax rates of convergence are obtained for rotation ally invariant densities verifying various smoothness conditions. It is found that the differences in smoothness between the Laplace, the Gaussian and the von Mises‐Fisher distributions lead to contrasting inferential conclusions.