Social Change and Social Policy in Japan

This paper aims to present and discuss social change and social policy in Japan after the mid-20th century from a sociological viewpoint. Japanese social change and social policy from the mid-20th century onward can be categorized into three models in chronological order: escape from mass poverty by means of industrialization, improvement of the social security system to establish a welfare state, and parallel progress of aspiration for a welfare society and workfare. Defined concretely, these are (1) the period that established and improved social security, which started immediately after the end of World War II and ended in 1973, when Japan began to suffer from low growth after enjoying high growth; (2) the period in which finance for social security was adjusted, halfway through which the country experienced a bubble economy; and (3) the period after the 1990s, in which the structural reform of social security went hand-in-hand with labor policy and the advent of globalization. In each of the three periods, the direction of social policy was affected by factors that caused changes in such areas as industrial structure (the decline of agriculture), demographic structure (an aging society), and family structure and work pattern (the growing trend of nuclear families, single-person households, and irregular employment). In Japan, life security now attracts increasing attention, and employment security rather than social security has been the central issue. As it is greatly affected by globalization, employment security grows less conspicuous and makes the vulnerability of social security grow more conspicuous. Social policy has the potential to become an area with which to struggle for national integration and fissures between social groups.     

Low‐Income Mothers’ Private Safety Nets and Children’s Socioemotional Well‐Being

Using longitudinal data from the Fragile Families and Child Well‐being Study (N = 1,162) and the National Evaluation of Welfare‐to‐Work Strategies (N = 1,308), we estimate associations between material and instrumental support available to low‐income mothers and young children’s socioemotional well‐being. In multivariate OLS models, we find mothers’ available support is negatively associated with children’s behavior problems and positively associated with prosocial behavior in both data sets; associations between available support and children’s internalizing and prosocial behaviors attenuate but remain robust in residualized change models. Overall, results support the hypothesis that the availability of a private safety net is positively associated with children’s socioemotional adjustment.     

除尘器区低温省煤器烟道数值模拟

为实现除尘器区低温省煤器的节能改造,基于FLUENT6.3软件,对除尘器区低温省煤器烟道的流场进行数值模拟研究。研究结果表明:除尘器前烟道内流场严重不均,转弯处有明显的高速区与漩涡区,局部速度高达32 m/s;加装低温省煤器后,两低温省煤器内流场不均,最大速度偏差系数达79.3%,严重影响低温省煤器的换热效果,同时会磨损、冲刷低温省煤器管路,危及低温省煤器的安全;除尘器入口处出现大面积的低速区域,导致进入除尘器后流场紊乱、除尘器电耗高、除尘效率低等现象,除尘器前烟道内整流消涡可以根治除尘器工作效率的问题。     

Robust test for independence in high dimensions

This article develops a new test based on Spearman’s rank correlation coefficients for total independence in high dimensions. The test is robust to the non normality and heavy tails of the data, which is a merit that is not shared by the existing tests in literature. Simulation results suggest that the new test performs well under several typical null and alternative hypotheses. Besides, we employ a real data set to illustrate the use of the new test.     

A Mann–Whitney type effect measure of interaction for factorial designs

We propose a measure for interaction for factorial designs that is formulated in terms of a probability similar to the effect size of the Mann–Whitney test. It is shown how asymptotic confidence intervals can be obtained for the effect size and how a statistical test can be constructed. We further show how the test is related to the test proposed by Bhapkar and Gore [Sankhya A, 36:261–272 (1974)]. The results of a simulation study indicate that the test has good power properties and illustrate when the asymptotic approximations are adequate. The effect size is demonstrated on an example dataset.     

“Why I Can't Stand Out in Front of My House?”: Street‐Identified Black Youth and Young Adult's Negative Encounters With Police

This street participatory action research (Street PAR) study organized 15 residents to document street‐identified Black youth and adult's negative experiences with police in Wilmington, Delaware. Data were collected on mostly street‐identified Black men and women aged 18–35 in the forms of (1) 520 surveys, (2) 24 individual interviews, (3) four dual interviews, (4) three group interviews, and (5) extensive field observations. Forty‐two percent of survey participants reported being stopped by police in the last year. However, with the exception of being “stopped,” participants overall reported little negative contact with police at least within the past year. Chi‐square and ANOVA analyses suggest an interactional relationship exists between race, gender, and age on experiences with police. Younger Black men (18–21) were found to have the most negative contact with police. Analysis suggests a smaller, more hardened mostly male variant of the larger street community has had repeated contact with police. Qualitative analysis reveals at least two major themes: (1) disrespect and disdain for residents and (2) low motivation for working with police. Street PAR methodology was also found to be instrumental in working with local residents and the Wilmington Police Department to improve conditions between residents and police.     

On analysis of binary response data in longitudinal factorial studies

Binary data are commonly used as responses to assess the effects of independent variables in longitudinal factorial studies. Such effects can be assessed in terms of the rate difference (RD), the odds ratio (OR), or the rate ratio (RR). Traditionally, the logistic regression seems always a recommended method with statistical comparisons made in terms of the OR. Statistical inference in terms of the RD and RR can then be derived using the delta method. However, this approach is hard to realize when repeated measures occur. To obtain statistical inference in longitudinal factorial studies, the current article shows that the mixed-effects model for repeated measures, the logistic regression for repeated measures, the log-transformed regression for repeated measures, and the rank-based methods are all valid methods that lead to inference in terms of the RD, OR, and RR, respectively. Asymptotic linear relationships between the estimators of the regression coefficients of these models are derived when the weight (working covariance) matrix is an identity matrix. Conditions for the Wald-type tests to be asymptotically equivalent in these models are provided and powers were compared using simulation studies. A phase III clinical trial is used to illustrate the investigated methods with corresponding SAS® code supplied.     

On the asymptotic normality of the R-estimators of the slope parameters of simple linear regression models with associated errors

ABSTRACT

The purpose of this paper is to prove, under mild conditions, the asymptotic normality of the rank estimator of the slope parameter of a simple linear regression model with stationary associated errors. This result follows from a uniform linearity property for linear rank statistics that we establish under general conditions on the dependence of the errors. We prove also a tightness criterion for weighted empirical process constructed from associated triangular arrays. This criterion is needed for the proofs which are based on that of Koul [Behavior of robust estimators in the regression model with dependent errors. Ann Stat. 1977;5(4):681–699] and of Louhichi [Louhichi S. Weak convergence for empirical processes of associated sequences. Ann Inst Henri Poincaré Probabilités Statist. 2000;36(5):547–567].     

Estimation of flood frequencies from data sets with outliers using mixed distribution functions

In this paper the estimation of high return period quantiles of the flood peak and volume in the Kolubara River basin are carried out. Estimation of flood frequencies is carried out on a data set containing high outliers which are identified by the Rosner’s test. Simultaneously, low outliers are determined by the multiple Grubbs–Beck. The next step involved the usage of the mixed distribution functions applied to a data set from three populations: floods with low outliers, normal floods and floods with high outliers. The contribution of the data set with low outliers is neglected, since it should underestimate the flood quantiles with large return periods. Consequently, the best fitted mixed distribution from the applied types (EV1, GEV, P3 and LP3) was determined by using the minimum standard error of fit.