Private Pensions — a Viable Alternative? Their Distributive Effects in a Comparative Perspective

Pension reforms have been on the political agenda of governments and international organizations like the OECD and the World Bank for some time. The strengthening of private elements in pension systems is often believed to intensify existing inequalities in the distribution of pensions among the population and to contribute to the marginalization of large groups of older people. This paper explores the distributive effects of private pensions on the basis of Luxembourg Income Study microdata for 12 industrialized welfare states. While confirming that private pensions indeed tend to produce specific inequalities, its results also emphasize the importance of policy factors in mitigating the distributive effects.     

Dempster's combination rule and sufficient statistics

In his articles (1966-1968) concerning statistical inference based on lower and upper probabilities, Dempster refers to the connection between Fisher's fiducial argument and his own ideas of statistical inference. Dempster's main concern however focuses on the “Bayesian” aspects of his theory and not on an elaboration of the relation between Fisher's and his ideas. This article attempts to work out the connection between those two approaches and focuses primarily on the question, whether Dempster's combination rule, his upper and lower probabilty based on sufficient statistics and inference based on sufficient statistics in Fisher's sense are consistent. To be adequate to Fisher's reasoning, we deal with absolutely continuous, one parametric families of distributions.This is certainly not the usual assumption in context with Dempster's theory and implies a normative but straightforward definition concerning the underlying conditional distribution; this definition however is done in Dempster's spirit as can be seen from his articles, (1966, 1968,a,b). Under those assumptions it can be shown that - similar to Lindley's results concerning consistency in fiducial reasoning (1958) - the combination rule, Dempster's procedure based on sufficient statistics and fiducial inference by sufficient statistics agree iff the parametric family under consideration can be transformed to location parameter form.     

Improving healthcare for children entering foster care

Despite the fact that children in foster care are, perhaps, the most vulnerable children, healthcare for them has been lacking woefully for many years. A growing body of research has documented the need for such care as well as the failure of child welfare agencies to make major improvements in providing healthcare to foster children. Nonetheless, current efforts are being made to change this situation. This article reports on one effort to improve the provision and timeliness of health exams for children entering care. One rural and one urban county served as project treatment sites, with two additional rural and urban counties serving as control sites. The treatment sites achieved a statistically significant improvement in their rate of exam completion as compared to the control sites. The study finds that despite an existing policy for healthcare for children entering foster care, legislation mandating additional efforts, shortened time frames, and provision for judicial oversight are needed for improvement.     

Reinvigorating the social contract and strengthening social cohesion: Social protection responses to COVID-19

The COVID-19 pandemic has exposed the vulnerability of those who are inadequately covered by social protection in more and less developed countries alike, and has exacerbated the fragility of a social contract that was already under strain in many countries. A weak social contract in the context of an exceptional crisis poses a very real risk to social cohesion. Nevertheless, many States have reasserted themselves as the guarantor of rights by protecting public health and incomes. By sustaining these measures, economic recovery will be supported which will help minimize risks that may weaken social cohesion. However, this is a fast-moving, inherently unstable and protracted crisis. Social protection stands at a critical juncture. Decisive policy action will be required to strengthen social protection systems, including floors, as one of the cornerstones of a reinvigorated social contract.     

Preregistration in infant research—A primer

Preregistration, the act of specifying a research plan in advance, is becoming more common in scientific research. Infant researchers contend with unique problems that might make preregistration particularly challenging. Infants are a hard‐to‐reach population, usually yielding small sample sizes, they can only complete a limited number of trials, and they can be excluded based on hard‐to‐predict complications (e.g., parental interference, fussiness). In addition, as effects themselves potentially change with age and population, it is hard to calculate an a priori effect size. At the same time, these very factors make preregistration in infant studies a valuable tool. A priori examination of the planned study, including the hypotheses, sample size, and resulting statistical power, increases the credibility of single studies and adds value to the field. Preregistration might also improve explicit decision making to create better studies. We present an in‐depth discussion of the issues uniquely relevant to infant researchers, and ways to contend with them in preregistration and study planning. We provide recommendations to researchers interested in following current best practices.     

Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion

Lifetime Data Analysis - This work was motivated by observational studies in pregnancy with spontaneous abortion (SAB) as outcome. Clearly some women experience the SAB event but the rest do not....     

If all you have is a hammer,everything looks like a nail: Operationalization matters

Operationalization has been the focus of less research than many other methodological topics. In this article, we argue that considering operational decisions is particularly critical for those who study stratification, because measures of inequality often involve multiple layers of operationalization: researchers first decide how to assign individuals to social groups (e.g., race), which are then themselves used to construct measures of group‐level differences and inequality (e.g., racial segregation). We provide examples of this by drawing on contemporary debates about how to operationalize social groups based on class, race, gender, and religion. Then we discuss three examples (religion, racial segregation, and family type) of second layer operationalization decisions, focusing on the consequences of operational decisions for research findings. We conclude by discussing the broader implications of operational decisions, focusing particularly on issues of power and applications for policy makers.     

Doing gender in the ‘new office’

This paper investigates how gender is performed in the context of an office setting designed to promote intensive, fluid networking. We draw on an ethnographically oriented study of the move of staff into a new office building constructed primarily from glass, and incorporating open plan offices, diverse collective areas and walking routes. Although the designers aimed to invoke changes in the behaviour of all staff, they conceptualized these changes in masculine terms. We therefore analyse the gender norms materialized by the workspaces of the ‘new office’ and how women responded to these. We suggest that the new office encourages an image of the ideal worker which brings together ways of acting and interacting that have been characterized as both masculine and feminine — active movement and spontaneous encounters, but also intensive face‐to‐face interaction and deep relationship‐building. Women are driven into this mode of working in an uncompromising, almost aggressive way, but a straightforward gender‐based dynamic does not emerge in their responses, with conventional gender characteristics being reshuffled and recombined.     

NDIS Self‐Management Approaches: Opportunities for choice and control or an Uber‐style wild west?

This article examines the emerging challenges and opportunities presented by self‐management options in Australia's National Disability Insurance Scheme (NDIS). We examine the three different ways in which NDIS participants can opt to self‐manage their funding and services, including direct employment and emerging Uber‐style online platforms, and explore the potential implications of these options for NDIS participants, service providers and the disability support workforce. In particular, we focus on these options in relation to the transition to a marketised services landscape being developed alongside the NDIS, and examine both the risks and opportunities for each stakeholder group. Through this analysis, we identify implications for policy and practice, in particular around regulatory mechanisms and the role of government within this emerging market economy and transforming service landscape.     

Loss aversion leading to advantageous selection

Some insurance markets are characterized by “advantageous selection”, that is, ex-post risk and coverage are negatively correlated. We show that expectation-based loss aversion as in K?szegi and Rabin (Quarterly Journal of Economics, 121(4), 1133–1165, 2006; The American Economic Review, 97(4), 1047–1073, 2007) provides a natural explanation for this phenomenon in environments in which risk aversion models do not, e.g., when agents face modest-scale risks and/or in absence of moral hazard. More exposure to risk has two competing effects on an agent’s willingness to pay for insurance: a positive effect, as in standard expected utility models; and a negative one, due to a reference effect. We determine conditions under which an insurance provider optimally sets a high price at which only low risk agents buy.