Self‐consistent estimation of mean response functions and their derivatives

Many methods have been developed for the nonparametric estimation of a mean response function, but most of these methods do not lend themselves to simultaneous estimation of the mean response function and its derivatives. Recovering derivatives is important for analyzing human growth data, studying physical systems described by differential equations, and characterizing nanoparticles from scattering data. In this article the authors propose a new compound estimator that synthesizes information from numerous pointwise estimators indexed by a discrete set. Unlike spline and kernel smooths, the compound estimator is infinitely differentiable; unlike local regression smooths, the compound estimator is self‐consistent in that its derivatives estimate the derivatives of the mean response function. The authors show that the compound estimator and its derivatives can attain essentially optimal convergence rates in consistency. The authors also provide a filtration and extrapolation enhancement for finite samples, and the authors assess the empirical performance of the compound estimator and its derivatives via a simulation study and an application to real data. The Canadian Journal of Statistics 39: 280–299; 2011 © 2011 Statistical Society of Canada     

基于G3指南的河北省煤矿企业社会责任评价体系的构建

评价一个煤矿企业履行社会责任好坏,需要有一套相对公平合理的评价体系.全球报告倡议组织发布的G3指南为建立煤矿企业社会责任体系提供了方向.本文对河北省煤矿企业社会责任现状进行了分析,指出基于G3指南的煤矿企业社会责任评价体系的构建还应考虑河北煤矿行业的特殊性,应建立员工、安全、经济、环境、社会五位一体的企业社会责任评价体系.     

基于CVaR风险度量的V2G备用合约优化与协调决策

针对单一风险中性电网公司与单一风险规避电动汽车用户所组成的渠道结构,基于考虑V2G备用的备用交易及实践中普通存在的"保底收购,随行就市"合约价格机制,在CVaR风险度量准则下,构建了具有风险规避特性的电动汽车用户电量预留决策模型,先后考察并比较了分散和集成决策下电网公司与电动汽车用户的最优决策行为。研究发现：电动汽车用户的风险规避特性降低了渠道绩效水平,传统的"保底收购,随行就市"价格机制并不能很好地协调此类V2G备用渠道。在此基础上,利用"回购补贴+市场保护价+保证金"联合契约使得合作系统达到完美协调,且渠道双方的利润均得到Pareto改进。算例分析表明了上述提出模型与方法的基本特征。     

The benefits of joint and separate financial management of couples

Financial management differs across households with consequences for financial outcomes and well-being of partners in households. A large-sample study has been performed, investigating the relationship between financial management of households and the occurrence of financial problems. To our knowledge, this is the first study on this relationship. Data from both partners was collected on having joint and separate bank accounts, on financial decision making, on drivers of financial management, and on financial outcomes. Based on the data, four financial management styles were derived: syncratic/joint, male-dominant, female-dominant, and autonomous financial management. In the syncratic style, partners have a joint bank account and take most financial decisions together. In the male/female-dominant styles, one partner (husband or wife) takes the main financial decisions. In the autonomous style, both partners have their own bank accounts and make their own decisions. As a conclusion, we find that syncratic financial management and having a joint instead of a separate bank account correlates with fewer financial problems, as compared with male-dominant money management and having separate bank accounts. Deciding together as partners is beneficial for the quality of financial management and for avoiding financial problems.     

Estimation for varying coefficient partially nonlinear models with distorted measurement errors

In this paper, we propose a new varying coefficient partially nonlinear model where both the response and predictors are not directly observed, but are observed by unknown distorting functions of a commonly observable covariate. Because of the complexity of the model, existing estimation methods cannot be directly employed. For this, we propose using an efficient nonparametric regression to estimate the unknown distortion functions concerning the covariates and response on the distorting variable, and further, we obtain the profile nonlinear least squares estimators for the parameters and the coefficient functions using the calibrated variables. Furthermore, we establish the asymptotic properties of the resulting estimators. To illustrate our proposed methodology, we carry out some simulated and real examples.     

Principal weighted logistic regression for sufficient dimension reduction in binary classification

Sufficient dimension reduction (SDR) is a popular supervised machine learning technique that reduces the predictor dimension and facilitates subsequent data analysis in practice. In this article, we propose principal weighted logistic regression (PWLR), an efficient SDR method in binary classification where inverse-regression-based SDR methods often suffer. We first develop linear PWLR for linear SDR and study its asymptotic properties. We then extend it to nonlinear SDR and propose the kernel PWLR. Evaluations with both simulated and real data show the promising performance of the PWLR for SDR in binary classification.     

Employer‐oriented labour market policies in Sweden: Creating jobs and the division of labour in the public sector

In many European countries, greater importance is accorded to labour market policies in which employers are involved in activating unemployed people. Such employer‐oriented policies target employers’ demand for labour and attempt to influence their willingness to hire, train or guide (often disadvantaged) unemployed groups. Using data from a qualitative interview study of an employer‐oriented programme in a medium‐size city in Sweden, the present article aims to develop knowledge about how these policies are used to influence employers to hire unemployed workers and how jobs created in this context differ from regular jobs. The article argues that creating jobs through new arrangements for the division of labour, with the promise of relieving regular staff of unskilled tasks, may influence employers’ willingness to hire the unemployed when used alongside other kinds of policy instruments. However, the article also shows that this new division of labour, with programme participants performing mainly unskilled tasks, has been difficult to realize, as new staff gradually come to perform an increasing number of regular working tasks.     

Adult women and ADHD: On the temporal dimensions of ADHD identities

This paper uses conceptual resources drawn from psychosocial process thinking (Brown & Reavey, 2015; Brown & Stenner, 2009; Stenner, 2017) and from G.H. Mead in particular, to contribute to an emerging body of work on the experiences of adult women with ADHD (Horton‐Salway & Davies, 2018; Quinn & Madhoo, 2014; Singh, 2002; Waite & Ivey, 2009). It has a particular focus on how ADHD features in the construction of women's identities and life‐stories and it draws upon findings from a qualitative investigation of adult women diagnosed or self‐diagnosed with Attention Deficit Hyperactivity Disorder (ADHD). A theoretically informed ‘thematic decomposition’ of 16 depth interviews reveals how complex processes of identity transformation are mediated by the social category of ADHD. Through this process, troubled pasts are reconstructed from the perspective of an ‘emergent’ identity that offers participants the potential for a more enabling and positive future.