‘We are not anything alike’: marginalization of health professionals with disabilities

Despite inclusive rhetoric, disabled peoples’ participation in the Health and Human Service (HHS) professions remains limited. This study explores the perspectives of individuals in the HHS sector regarding inclusion-related barriers and facilitators. We found three mechanisms that marginalize disabled people in HHS education and professions: dominant disabling discourses; discriminatory design within programmes and universities; and oppressive interactions. The inclusion of disabled individuals is vital for ensuring HHS professionals represent the populations they serve. By challenging the views of educators, professionals, and scholars, these findings may become part of the foundation upon which change can be created.     

High‐order Corrected Estimator of Asymptotic Variance with Optimal Bandwidth

Estimation of time‐average variance constant (TAVC), which is the asymptotic variance of the sample mean of a dependent process, is of fundamental importance in various fields of statistics. For frequentists, it is crucial for constructing confidence interval of mean and serving as a normalizing constant in various test statistics and so forth. For Bayesians, it is widely used for evaluating effective sample size and conducting convergence diagnosis in Markov chain Monte Carlo method. In this paper, by considering high‐order corrections to the asymptotic biases, we develop a new class of TAVC estimators that enjoys optimal ‐convergence rates under different degrees of the serial dependence of stochastic processes. The high‐order correction procedure is applicable to estimation of the so‐called smoothness parameter, which is essential in determining the optimal bandwidth. Comparisons with existing TAVC estimators are comprehensively investigated. In particular, the proposed optimal high‐order corrected estimator has the best performance in terms of mean squared error.     

Shareholders and managers: Who care more about corporate diversity and employee benefits?

We test two competing theories that explain a firm’s engagement in corporate diversity and employee benefits: socially responsible investment theory and management overinvestment theory. We find that publicly-traded companies with strong shareholder rights are more likely to promote women and/or minorities to the positions of CEO and board of directors in their organizations, conduct business with women- and/or minority-owned operations, and provide better family benefits to their employees than firms with strong management power. These findings indicate that the companies with strong shareholder rights engage more actively in internal aspects of CSR activities, which supports the socially responsible investment theory rather than the management overinvestment theory. Shareholders (i.e. institutional investors) tend to integrate their social goals (i.e. internal CSR issues) and financial goals into their investments. In response to these changes, managers should engage in the internal aspects of corporate social issues more aggressively as the agents of shareholders.     

Objective Bayesian hypothesis testing in regression models with first-order autoregressive residuals

This article considers the objective Bayesian testing in the normal regression models with first-order autoregressive residuals. We propose some solutions based on a Bayesian model selection procedure to this problem where no subjective input is considered. We construct the proper priors for testing the autocorrelation coefficient based on measures of divergence between competing models, which is called the divergence-based (DB) priors and then propose the objective Bayesian decision-theoretic rule, which is called the Bayesian reference criterion (BRC). Finally, we derive the intrinsic test statistic for testing the autocorrelation coefficient. The behavior of the Bayes factor-based DB priors is examined by comparing with the BRC in a simulation study and an example.     

平稳的平滑转移自回归过程之间的虚假回归问题研究

文章研究平稳的平滑转移自回归过程之间的虚假回归问题.通过推导最小二乘回归估计量及其对应的t统计量的极限分布,发现:标准的t检验流程中的t统计量并不趋于标准正态分布,其极限分布依赖于模型参数,从而导致了虚假回归的可能.采用蒙特卡洛模拟研究了有限样本下数据生成过程的各项参数对虚假回归的影响,研究表明:虚假回归现象也可能普遍存在于平稳变量之间,为此,在做统计推断时,考虑平稳变量的具体特征是必要的.     

Sharing personal information in the child protection context: Impediments in the Australian legal framework

Professionals, including social workers, in the child protection context are frequently required to make decisions on whether to share sensitive personal information about children, their families, and others with colleagues and across institutional and jurisdictional boundaries. Sharing information across agencies and organisations is essential to allow joined‐up service provision and to effectively protect and support children and their families. A legal framework that supports this decision making is a necessary, although not sufficient, condition for effective information sharing. This article examines the complex legal framework that governs information sharing across the Australian states and territories. It identifies a number of structural and regulatory elements that unnecessarily limit information sharing or have a tendency to create a culture that is risk averse, rather than proactive, in sharing information. The article suggests structural and regulatory reforms that would improve the legal framework for sharing information, while at the same time giving due recognition to the human rights that come into tension in this policy context: the right to privacy and the rights of the child.     

Demographic Change and Fiscal Sustainability in Asia

Changes in the population age structure can have significant effects on fiscal sustainability since they can affect both government revenue and expenditure. In this paper, we project government revenue, expenditure, and fiscal balance in developing Asia up to 2050 using a simple stylized model and the National Transfer Accounts data set. Rapidly aging countries are likely to suffer a tangible deterioration of fiscal sustainability under their current tax and expenditure system. On the other hand, rapid economic growth can improve fiscal health in poorer, relatively young countries with still-growing working-age populations. Overall, our results indicate that Asia’s population aging will adversely affect its fiscal sustainability, pointing to a need for Asian countries to further examine the impact of demographic shifts on their fiscal health.