Socioeconomic status and the dynamics of preferences for income inequality in the United States, 1978–2016

Although considerable evidence indicates that public preferences for income inequality and redistribution vary across socioeconomic groups (i.e., occupation and income), much less is known about the temporal dynamics of these preferences. The purpose of this study is (a) to examine whether the attitudinal distance between managerial/professional workers and unskilled manual workers has changed (converged or diverged) over time and to (b) explore the reasons for and implications of the dynamics of preferences in the past several decades. Using data from the General Social Survey 1978–2016 (23 time‐points; N = 27,211), this study finds that the influence of occupational class has lost some of its significance in shaping public preferences for income inequality and that the declining effect of occupation can be explained in part by the attitudinal convergence between better‐ and less‐educated citizens. Findings suggest that proequality coalitions across educational boundaries play a remedial role in bridging the occupational divide over government redistribution in the United States.     

Interdependency among addictive behaviours and time/risk preferences: Discrete choice model analysis of smoking, drinking, and gambling

This paper simultaneously measures the rate of time preference and the coefficient of risk aversion, as well as investigates the interdependencies of four addictive behaviours: smoking, drinking, pachinko (a popular Japanese form of pinball gambling), and horse betting among a sample of the Japanese population. We reach two main conclusions. First, there are significant interdependencies among the four addictive behaviours, in particular between smoking and drinking and between gambling on pachinko and the horses. Second, we conclude that the higher the time preference rate and the lower the risk aversion coefficient becomes, the more likely individuals smoke, drink frequently, and gamble on pachinko and the horses.     

Restricted mean survival time as a summary measure of time‐to‐event outcome

Many clinical research studies evaluate a time‐to‐event outcome, illustrate survival functions, and conventionally report estimated hazard ratios to express the magnitude of the treatment effect when comparing between groups. However, it may not be straightforward to interpret the hazard ratio clinically and statistically when the proportional hazards assumption is invalid. In some recent papers published in clinical journals, the use of restricted mean survival time (RMST) or τ ‐year mean survival time is discussed as one of the alternative summary measures for the time‐to‐event outcome. The RMST is defined as the expected value of time to event limited to a specific time point corresponding to the area under the survival curve up to the specific time point. This article summarizes the necessary information to conduct statistical analysis using the RMST, including the definition and statistical properties of the RMST, adjusted analysis methods, sample size calculation, information fraction for the RMST difference, and clinical and statistical meaning and interpretation. Additionally, we discuss how to set the specific time point to define the RMST from two main points of view. We also provide developed SAS codes to determine the sample size required to detect an expected RMST difference with appropriate power and reconstruct individual survival data to estimate an RMST reference value from a reported survival curve.     

A Study of An Alternative School for Pregnant and/or Parenting Teens: Quantitative and Qualitative Evidence

In response to multiple problems faced by pregnant and parenting teens, many alternative school-based comprehensive programs have been established throughout the United States. By collecting data from a sample of enrollees of such a school-based comprehensive program and comparing them with data collected from a sample of non-enrollees, the present study systematically evaluates the program. The results of the study seem to suggest that the program participants were more likely to have higher educational aspiration, better reproductive health outcomes, higher contraceptive use, and more breast-feeding practice and intention than those of their non-participating counterparts. The implications of the study findings for comprehensive school-based program for pregnant and/or parenting teens are discussed.Ruhul Amin is a Senior Fellow at the Center for Health Disparities Solutions and Senior Research Scientist in the Institute for Urban Research, Morgan State University, Baltimore, MD 21239. Dorothy C. Browne is the Director of the Institute for Urban Research, Jamir Ahmed is a research assistant at the Center for Health Disparities Solutions and Takanori Sato is research assistants at the Institute for Urban Research, Morgan State University, Baltimore, MD 21239.     

Success through culture change in a Japanese brewery

The birth, growth and subsequent decline of Asahi Brewery is described up to the appointment of a new president of the company and the introduction of a new management concept. This brought a change in strategic direction and the development of new products. Changes in corporate culture at the top and middle level of management encouraged change in employee culture. Improvements of organizational structure and programmes are described and principles for change in corporate culture are extrapolated.     

Rates of convergence for the k-nearest neighbor estimators with smoother regression functions

Let (X, Y  ) be a R^d×R-valued${\mathbb{R}}^d\times \mathbb{R}\mathrm{-}\mathrm{valued}$ random vector. In regression analysis one wants to estimate the regression function m(x)?E(Y|X=x)$m(x)?\mathbf{E}(Y|X=x)$ from a data set. In this paper we consider the rate of convergence for the k-nearest neighbor estimators in case that X   is uniformly distributed on [0,1]^d$[\mathrm{0,1}{]}^d$, Var(Y|X=x)$\mathbf{Var}(Y|X=x)$ is bounded, and m is (p, C)-smooth. It is an open problem whether the optimal rate can be achieved by a k  -nearest neighbor estimator for 1<p≤1.5$1<p\le 1.5$. We solve the problem affirmatively. This is the main result of this paper. Throughout this paper, we assume that the data is independent and identically distributed and as an error criterion we use the expected L₂ error.     

Determination of hazard ratio for progression‐free survival considering the tumor assessment schedule in sample size calculation

Progression‐free survival is recognized as an important endpoint in oncology clinical trials. In clinical trials aimed at new drug development, the target population often comprises patients that are refractory to standard therapy with a tumor that shows rapid progression. This situation would increase the bias of the hazard ratio calculated for progression‐free survival, resulting in decreased power for such patients. Therefore, new measures are needed to prevent decreasing the power in advance when estimating the sample size. Here, I propose a novel calculation procedure to assume the hazard ratio for progression‐free survival using the Cox proportional hazards model, which can be applied in sample size calculation. The hazard ratios derived by the proposed procedure were almost identical to those obtained by simulation. The hazard ratio calculated by the proposed procedure is applicable to sample size calculation and coincides with the nominal power. Methods that compensate for the lack of power due to biases in the hazard ratio are also discussed from a practical point of view.     

Anomaly,impulsivity, and addiction

There are two behavioral approaches to addiction: rational and irrational. The rational approach assumes that addicts have higher time preference rates and lower risk-aversion coefficients—parameters that are interpreted as impulsive preferences. On the other hand, the irrational approach argues that addiction is a consequence of anomalies such as non-expected utility and hyperbolically discounted utility. This paper integrates these two approaches and concludes that anomaly and impulsivity complementarily account for addiction.