Eliciting Survival Expectations of the Elderly in Low-Income Countries: Evidence From India

We examine several methodological considerations when eliciting probabilistic expectations in a developing country context using the Longitudinal Ageing Study in India (LASI). We conclude that although, on average, individuals are able to understand the concept of probability, responses are sensitive to framing effects and to own versus hypothetical-person effects. We find that overall, people are pessimistic about their survival probabilities compared with state-specific life tables and that socioeconomic status does influence beliefs about own survival expectations as found in previous literature in other countries. Higher levels of education and income have a positive association with survival expectations, and these associations persist even when conditioning on self-reported health. The results remain robust to several alternative specifications. We then compare the survival measures with objective measures of health. We find that activities of daily life, height, and low hemoglobin levels covary with subjective expectations in expected directions.     

A residual-based test for autocorrelation in quantile regression models

Quantile regression (QR) models have been increasingly employed in many applied areas in economics. At the early stage, applications in the QR literature have usually used cross-sectional data, but the recent development has seen an increase in the use of QR in both time-series and panel data sets. However, testing for possible autocorrelation, especially in the context of time-series models, has received little attention. As a rule of thumb, one might attempt to apply the usual Breusch–Godfrey LM test to the residuals of a baseline QR. In this paper, we demonstrate analytically and by Monte Carlo simulations that such an application of the LM test can result in potentially large size distortions, especially in either low or high quantiles. We then propose a correct test (named the QF test) for autocorrelation in QR models, which does not suffer from size distortion. Monte Carlo simulations demonstrate that the proposed test performs fairly well in finite samples, across either different quantiles or different underlying error distributions.     

Examining Attachment Avoidance and Attachment Anxiety Across Eight Sessions of Couple Therapy

This study examined initial levels of attachment anxiety and avoidance, as well as their patterns of change, across eight sessions of couple therapy. Participants were 461 couples in a treatment‐as‐usual setting. Dyadic latent growth modeling was used to determine whether couples started therapy at similar levels of attachment anxiety and avoidance and whether attachment anxiety and avoidance changed. An actor partner interdependence model was used to see whether partner attachment anxiety was related to avoidance. Results showed relative stability of attachment anxiety and avoidance over the course of therapy, with the only change being a slight decline in attachment anxiety among women. Results showed that a person's attachment anxiety was not related to their partner's avoidance and vice versa.     

We're GRAND: a qualitative design and development pilot project addressing the needs and strengths of grandparents raising grandchildren

Custodial grandparents play a significant role in sustaining healthy families, but the caregiving is demanding. A social research design and development process informed a school district‐university partnership project responding to the needs of a group of custodial grandparents. Three phases of the project are described: (i) needs assessment; (ii) design and implementation of a psychoeducational group facilitated by social work faculty and a school district administrator; and (iii) evaluation of programme impact. Major themes from the needs assessment and evaluation are presented. Discussion highlights the need for school and family engagement, recognition of the significant changes in family role required for grandparents, and viewing custodial grandparents as leaders and engaged caregivers. The meaning of diversity in group intervention for this population is also explored.     

Is Dual Income Costly for Married Couples? An Analysis of Household Expenditures

This study analyzed annual household outlays in the recent Consumer Expenditure Survey to obtain the cost of dual income for married couples. Of the crude differences between two- and one-earner married households in payments and expenditures, the portion reflecting structural differences in demand was obtained through decomposition as the measure of the cost of dual income. We found dual-earner couples’ work-related expenditures diminished fulltime working wives’ net contribution by 1.7 % of their average earning. Greater tax burden and Social Security payments diminished fulltime working wives’ net contribution by additional 2.0 and 3.4 % of their average earnings, respectively. Dual-earner couples contributed more to private pension plans and experienced lower levels of current-period consumption including consumption of market substitutes for housework.     

Intergenerational Forum to Enhance Students’ Engagement and Learning Outcomes: A Community-Based Participatory Research Study

The Intergenerational Forum (IF) is an innovative intervention that engages students in conducting community-based participatory research (CBPR). This set of guided learning opportunities is designed to improve college students’ understanding of aging and health issues in their communities. In this study, a total of 252 mentoring hours were provided in kind by 78 students. The majority of these youth volunteers were aspiring health professionals who had received intensive academic and field training to strengthen their interpersonal skills and ability to build meaningful one-on-one relationships with vulnerable populations. Additionally, these student volunteers were at higher risk for mental health issues. Findings revealed that as a result of IF, students were able to improve their knowledge and attitudes toward working with older people. Students were able to combine ideas from courses when completing this IF assignment. Particularly, levels of active and collaborative learning were` enriched by engagement with people representing different economic backgrounds, political views, and religious beliefs. Major themes emerged in students’ narrative data revealed their learning outcomes in the areas of self-awareness, empathy, empowerment, and new perspectives about ageism.     

Examining the Structural Relationships Among Gambling Motivation,Passion, and Consequences of Internet Sports Betting

The rise in popularity of Internet gambling has led to new gambling controversies among researchers and policymakers alike. Opponents frequently point to the negative impacts of problem gambling, while advocates tend to view this form of gambling as relatively harmless and convenient entertainment for the vast majority of participants. Interestingly, in making their points, both sides cite empirical arguments about passion for the gambling act—with opponents arguing that Internet gambling enables unhealthy obsessions, and advocates pointing to the apparent intensive interest of large numbers of Internet players. As it turns out, both sides may have a point. In this paper, we examine whether types of passion were related to types of motivation and consequences. The data were collected through a sample from an online gambling website in South Korea. We rely upon Rousseau et al.’s (J Gambl Stud 18(1):45–66, 2002) seminal work on positive and negative aspects of passion, and in the process we develop a framework for understanding positive and negative consequences of this form of gambling. The results reveal that intrinsic gambling motivations (e.g., gambling for excitement) is related to harmonious passion, which in turn results in positive consequences. Meanwhile, extrinsic gambling motivations (e.g., money) is related to obsessive passion, which in turn results in negative consequences.     

Bayesian inference for Birnbaum–Saunders distribution and its generalization

We present a Bayesian approach for parameter inference of the Birnbaum–Saunders distribution [Birnbaum ZW, Saunders SC. A new family of life distributions. J Appl Probab. 1969;6:319–327], as well as the generalized Birnbaum–Saunders distribution developed by Owen [A new three-parameter extension to the Birnbaum–Saunders distribution. IEEE Trans Reliab. 2006;55:475–479], in the presence of random right-censored data. To handle the instance of commonly occurred censored observations, we utilize the data augmentation technique [Tanner MA, Wong WH. The calculation of posterior distributions by data augmentation. J Amer Statist Assoc. 1987;82(398):528–540] to circumvent the arduous expressions involving the censored data in posterior inferences. Simulation studies are carried out to assess performance of these methods under different parameter values, with small and large sample sizes, as well as various degrees of censoring. Two real data are analysed for illustrative purpose.