Private Information in Life Insurance,Annuity, and Health Insurance Markets

Economic theory predicts that private information on risks in insurance markets leads to adverse selection. To counterbalance private information, insurers collect and use information on applicants to assess their risk and to calculate premiums in an underwriting process. Using data from the English Longitudinal Study of Ageing (ELSA), this paper documents that differences in the information used in underwriting across life insurance, annuity, and health insurance markets attenuate private information to different extents. The results are in line with – and might help to reconcile – the mixed empirical evidence on adverse selection across these markets.     

Polanyi’s ‘substantive approach’ to the economy in action? Conceptualising social enterprise as a public health ‘intervention’

For several decades now, critical public health researchers have highlighted the deleterious effects that pursuing neoliberal policies can have on the ‘causes of the causes’ of poor health and upon growing health inequalities. This paper argues that the conceptual tools of Karl Polanyi can help lend particular insight into this issue. The specific example that this paper focuses upon is the ‘social enterprise’: a form of organisation that combines both social and business objectives. The paper explores, conceptually, whether social enterprises may have the potential to act as one component of a neo-Polanyian countermovement: helping to re-embed the economy back into society, and offering greater recognition for a more comprehensive and socially imbued concept of health. Importantly, this potential is critically examined in the context of neoliberal hegemony, where challenges to the status quo have regularly been met with assimilation, co-option and/or repression.     

Using partial identification methods to estimate the effect of violence against women on their children’s health outcomes

A growing literature in economics seeks to estimate the costs of violence against women by examining, for example, its impact on the health outcomes of their children. However, it is difficult to assign a causal interpretation to these nonexperimental studies due to the presence of unobservable characteristics affecting violence and health outcomes simultaneously. The lack of credible instrumental variables applicable in several countries further limits our knowledge. I address this gap by using new partial identification methods to estimate the relative size of the unobservables needed to eliminate the estimated effects in nonexperimental studies. I also expand the external validity of the analysis by using data from five standardized nationally representative household surveys in Latin America. Consistent with previous studies, cross-sectional estimates show large negative associations between violence against women and an array of child health outcomes. However, when accounting for omitted variable bias, at best, two-thirds of the estimates remain robust and they are concentrated on the outcomes with the largest cross-sectional estimated impacts.     

Fraudster’s and victims’ profiles and loss predictors’ hierarchy in the mental healthcare industry in the US

Abstract

Background

Fraud- or theft-related crimes account for the highest number of crimes in the mental health industry in the US.     

健康APP持续使用意愿研究——电子健康素养和确认度的影响

智能手机的普及促使健康APP得到普遍应用，但存在健康APP下载之后用户对其使用率低的普遍现象，为此分析健康APP持续使用意愿的影响因素十分有必要。在健康APP、信息系统持续使用等相关文献的研究基础之上，结合健康APP用户使用行为特征，在ECM-IS中引入电子健康素养，构建健康APP的持续使用意愿模型，主要分析电子健康素养和确认度对持续使用意愿的影响机制。另外给出模型中变量的定义和相关假设，为后续实证研究奠定理论基础。