Private Insurance,Selection, and Health Care Use

Observed differences in medical utilization between the privately insured and uninsured reflect the combined effects of self-selection and insurance incentives (moral hazard). This article provides a Bayesian framework for decomposing the disparity into incentive and selection components. The effect of self-selection in private insurance on the number of doctor visits is estimated using a multiyear sample of the U.S. adult non-Medicare population obtained from the Medical Expenditure Panel Survey. We use a flexible econometric framework based on the “Roy model” and develop a Markov chain Monte Carlo algorithm. We estimate the distribution of treatment effects and find strong evidence indicating selection, which accounts, on average, for 50% or more of the observed disparity in doctor visits.     

Asymptotic properties of approximate maximum quasi-likelihood estimator in quasi-likelihood nonlinear models with random effects

Quasi-likelihood nonlinear models with random effects (QLNMWRE) include generalized linear models with random effects and quasi-likelihood nonlinear models as special cases. In this paper, some regularity conditions analogous to those given by Breslow and Clatyton (1993) are proposed. On the basis of the proposed regularity conditions and Laplace approximation, the existence, the strong consistency and asymptotic normality of the approximate maximum quasi-likelihood estimation of the fixed effects are proved in QLNMWRE.     

Psychological Symptoms in a Sample of Latino Abused Children

SUMMARY

This study compared Latino children who were victims of child abuse with similar children who were not abused on measures of depression, anxiety, behavior problems, and dissociation. Abused children were found to have higher levels of symptoms on the majority of symptom measures. There were differences in the evaluation of distress levels on the self report versus parent/guardian report measures. Mean scores of the abused children on the self report measures were not in the clinical range, although a substantial number of children had high levels of distress. In contrast, the results of the parent/guardian measures revealed mean scores in the clinical range of problems. Implications for research and practice are included.     

情态混用的效果分析

对情态的研究通常集中在单一情态的运用及其语义语用分析上,对不同类型情态的混合运用的研究明显缺乏足够的重视。因此,作者拟通过实例对不同类型的情态的混合和交叉使用的效果进行分析。     

Learning effects in coders and their implications for managing content analyses

From the perspective of study management, research is surprisingly lacking on two of the major challenges for planning and performing content analysis: determining the sample size (i.e. number of objects to code) and the required number of coders to hire. The optimization of both of these numbers will ultimately determine how efficiently available resources are used. This study contributes to the methodological discussion on coding by identifying and conceptualizing the role of learning effects with respect to the coding task and by highlighting the importance of considering the coding process when managing a content analysis. We present empirical evidence for the existence and impact of learning effects on coders’ coding speed. Accordingly, study management should take account of learning effects when determining the sample size and number of coders. We also provide an illustrative example of how learning effects can impact the results of pretests.     

Fuzzy integrated QFD,FMEA framework for the selection of lean tools in a manufacturing organisation

Lean Manufacturing (LM) is a well-established system to improve performance of any manufacturing industry by eliminating wastes through globally accepted tools and techniques. Industries are trying to adapt lean principles in order to optimise the resources like people, equipment, material and schedule for being efficient in the competitive market. This paper proposes an integrated approach for selecting appropriate lean tools in reliable lean perspective to enhance these critical resources. The approach exercise a hybrid model which uses fuzzy QFD to prioritise the critical resources in relation with identified wastes and fuzzy FMEA to assess the risk associated with each sub elements to address lean implementation. For waste identification, plant layout and Value Stream Mapping are considered. The model is demonstrated based on the data collected from a manufacturing industry to illustrate the application. Significant improvements are quantified with the help of future state map and plant layout.     

A procedure for optimal augmentation of multidimensional designs

The augmentation of an existing multidimensional design is discussed from the point of view of estimability of certain two-factor interactions which are nonestimable from the original design. A general procedure is proposed which achieves this with a minimal number of additional assemblies and which is optimal in a certain sense. The individual steps in this procedure are described in detail and illustrated by an example.     

Nuclear Power‐Related Facilities and Neighboring Land Price: A Case Study on the Mutsu‐Ogawara Region,Japan

From the perspective of risk, nuclear‐power‐related facilities (NPRFs) are often regarded as locally undesirable land use. However, construction of NPRFs contributes to social infrastructural improvement and job creation in the host communities. This raises a question: How large are these positive and negative effects? To approach this question from an economic viewpoint, we estimated the hedonic land price function for the Mutsu‐Ogawara region of Japan from 1976 to 2004 and analyzed year‐by‐year fluctuations in land prices around the NPRFs located there. Land prices increased gradually in the neighborhood of the nuclear fuel cycle facilities (NFCFs) in Rokkasho Village, except for some falling (i) from 1982 to 1983 (the first official announcement of the project of construction came in 1983), (ii) from 1987 to 1988 (in 1988, the construction began and opposition movements against the project reached their peak), and (iii) from 1998 to 1999 (the pilot carry‐in of spent fuels into the reprocessing plant began in 1998). Land prices around the Higashidori Nuclear Power Plant decreased during the period 1981–1982, when the Tohoku Electric Power Corp. and Tokyo Electric Power Corp. announced their joint construction plan. On the other hand, we obtained some results, even though not significant, indicating that land prices around Ohminato and Sekinehama harbors changed with the arrival and departure of the nuclear ship Mutsu, which suffered a radiation leak in 1974.     

Six Distributional Effects of Environmental Policy

While prior literature has identified various effects of environmental policy, this note uses the example of a proposed carbon permit system to illustrate and discuss six different types of distributional effects: (1) higher prices of carbon‐intensive products, (2) changes in relative returns to factors like labor, capital, and resources, (3) allocation of scarcity rents from a restricted number of permits, (4) distribution of the benefits from improvements in environmental quality, (5) temporary effects during the transition, and (6) capitalization of all those effects into prices of land, corporate stock, or house values. The note also discusses whether all six effects could be regressive, that is, whether carbon policy could place disproportionate burden on the poor.     

The negative health effects of external whistleblowing: A study of some key factors

Blowing the whistle is a pro-social behaviour which can be highly effective if wrongdoing could be corrected without any adverse consequences for the person alleging or reporting it. However it is also risky and can cost whistleblowers their jobs and economic security as well as physical health and mental well-being. The purpose of this study was to identify the negative health effects—physical, behavioral, emotional, and mental—of whistleblowing and to examine the impact on these effects of dismissal, number of employees who blew the whistle in a group, income, and the passage of time. We statistically analysed survey data from external whistleblowers who had been identified by the news media in South Korea. This research differs from previous studies that explored the negative health effects of whistleblowing but did not distinguish between internal and external reporting. Our study contributes to the literature on the negative health effects experienced by whistleblowers and has implications for how to better protect them.