Resolving mobility constraints impeding rural seniors' access to regionalized services

Rural and small town places in developed economies are aging. While attention has been paid to the local transportation needs of rural seniors, fewer researchers have explored their regional transportation needs. This is important given policies that have reduced and regionalized many services and supports. This article explores mobility constraints impeding rural seniors' access to regionalized services using the example of northern British Columbia. Drawing upon several qualitative studies, we explore geographical, maintenance, organizational, communication, human resources, infrastructure, and financial constraints that affect seniors' regional mobility. Our findings indicate that greater coordination across multiple government agencies and jurisdictions is needed and more supportive policies and resources must be in place to facilitate a comprehensive regional transportation strategy. In addition to discussing the complexities of these geographies, the article identifies innovative solutions that have been deployed in northern British Columbia to support an aging population. This research provides a foundation for developing a comprehensive understanding of the key issues that need to be addressed to inform strategic investments in infrastructure and programs that support the regional mobility and, hence, healthy aging of rural seniors.     

Young Mothers’ Experiences of Receiving the Baby Bonus: A Qualitative Study

The year 2014 marked the abolition of the Baby Bonus and its replacement with a substantially reduced parenting payment. While often criticised as “middle-class welfare,” or publicly denounced due to its purported misuse by disadvantaged mothers, this paper argues that the Baby Bonus provided valuable financial assistance to families experiencing high financial stress. To investigate young women's experience of receiving the Baby Bonus, 19 semistructured interviews were conducted with young mothers in Melbourne who had recently had babies. Many were experiencing financial stress and this payment provided much needed financial support for the basic costs arising from having a baby. Several mothers perceived work as a luxury that was out of reach due to high childcare costs relative to their earning capacity and therefore saw Paid Parental Leave as a further privilege unavailable to them. Our results suggest that while the concerns of policymakers to achieve the best use of scarce resources are critical, it should also be acknowledged that the policy change may have serious implications for many young mothers and may exacerbate disadvantage, and young mothers’ sense of alienation, ultimately leading to greater inequalities.     

The practice of principles: an examination of CED groups in Vancouver, BC

The community economic development (CED) framework has its rootsat the margins of society but has gained a broader interest.This paper examines some key principles associated with theCED framework. Interviews with practitioners within three CEDorganizations in Vancouver resulted in themes that link CEDas a strategy for sustaining a broader vision of the organizations.CED ventures provide opportunities that enhance the connectionfor marginalized peoples to participate in local community organizations.Yet, there are challenges around delivering services withinan alternative framework operationalized within a market-basedparadigm. Nevertheless, CED initiatives can have far reachingimpacts beyond the individual and the organization. Indeed,CED is about networks of communities within communities.     

DNA COLLECTION IN A RANDOMIZED SOCIAL SCIENCE STUDY OF COLLEGE PEER EFFECTS

We describe the DNA collection processes of an initial pilot and full study, which is designed to investigate joint peer and genetic effects on health behaviors and attitudes in a college campus setting. In the main study, 2664 (79.5%) students completed a Web survey and 2080 (78.7% of the survey completers after adjusting for the ineligible) provided a saliva DNA sample. The response rate for completing both the survey and the DNA portion of the study is 62.5%. Our DNA yields are of high quality. Overall, our experiences and results demonstrate that genetic data can be successfully collected as a part of traditional social science survey research projects. To aid others in doing so, we provide extensive details of our data collection experiences and offer recommendations to future researchers seeking to do or evaluate similar work.     

Childhood family structure and young adult behaviors

This paper examines a wide variety of forms, and full histories, of family structure to test existing theories of family influences and identify needs for new theories. The focus is on links between childhood family structure and both completed schooling and risk of a nonmarital birth. Using a 27-year span of panel (PSID) data for U.S. children, we find that: (a) change is stressful, (b) timing during childhood is relevant, (c) adults other than parents are important, and (d) two more recently studied family structures (mother-with-grandparent(s) and mother-with-stepfather) do not fit the molds of existing theories. The findings suggest that new theories should consider allocation of resources and reasons people group into family structures. Received: 11 September 1998/Accepted: 27 March 2000     

Impact of the National Minimum Wage on Disabled People

The survey reported here found disparities in the impact of the introduction of the National Minimum Wage on disabled people. These were associated with age, gender, impairment and type of employment setting. The main determinant of whether individuals gained from the NMW was their status as claimants of welfare benefits. We also found evidence that paid hours had been reduced to implement the NMW with no net increase in earnings, possibly to enable people to retain benefits entitlements. We make recommendations about how the anomalies can be tackled. It may be unrealistic to expect the Act to have been implemented fully so soon after it became law and some of the anomalies found may eventually disappear. However, many of the inequalities uncovered by this survey are not addressed by the NMW, specifically those inequalities associated with impairment and gender.     

Simultaneous confidence band for the difference of segmented linear models

Consider comparing between two treatments a response variable, whose expectation depends on the value of a continuous covariate in some nonlinear fashion. We fit separate segmented linear models to each treatment to approximate the nonlinear relationship. For this setting, we provide a simultaneous confidence band for the difference between treatments of the expected value functions. The treatments are said to differ significantly on intervals of the covariate where the simultaneous confidence band does not contain zero. We consider segmented linear models where the locations of the changepoints are both known and unknown. The band is obtained from asymptotic results.     

Quantile Regression Methods for Longitudinal Data with Drop-outs: Application to CD4 Cell Counts of Patients Infected with the Human Immunodeficiency Virus

Patients infected with the human immunodeficiency virus (HIV) generally experience a decline in their CD4 cell count (a count of certain white blood cells). We describe the use of quantile regression methods to analyse longitudinal data on CD4 cell counts from 1300 patients who participated in clinical trials that compared two therapeutic treatments: zidovudine and didanosine. It is of scientific interest to determine any treatment differences in the CD4 cell counts over a short treatment period. However, the analysis of the CD4 data is complicated by drop-outs: patients with lower CD4 cell counts at the base-line appear more likely to drop out at later measurement occasions. Motivated by this example, we describe the use of `weighted' estimating equations in quantile regression models for longitudinal data with drop-outs. In particular, the conventional estimating equations for the quantile regression parameters are weighted inversely proportionally to the probability of drop-out. This approach requires the process generating the missing data to be estimable but makes no assumptions about the distribution of the responses other than those imposed by the quantile regression model. This method yields consistent estimates of the quantile regression parameters provided that the model for drop-out has been correctly specified. The methodology proposed is applied to the CD4 cell count data and the results are compared with those obtained from an `unweighted' analysis. These results demonstrate how an analysis that fails to account for drop-outs can mislead.