Conceptual model and map of financial exploitation of older adults

This article describes the processes and outcomes of three-dimensional concept mapping to conceptualize financial exploitation of older adults. Statements were generated from a literature review and by local and national panels consisting of 16 experts in the field of financial exploitation. These statements were sorted and rated using Concept Systems software, which grouped the statements into clusters and depicted them as a map. Statements were grouped into six clusters, and ranked by the experts as follows in descending severity: (a) theft and scams, (b) financial victimization, (c) financial entitlement, (d) coercion, (e) signs of possible financial exploitation, and (f) money management difficulties. The hierarchical model can be used to identify elder financial exploitation and differentiate it from related but distinct areas of victimization. The severity hierarchy may be used to develop measures that will enable more precise screening for triage of clients into appropriate interventions.     

The third birth in Sweden

This paper considers the formulation, estimation and interpretation of microdynamic models of fertility. Our model explains parity choices, sterility, childlessness, interbirth intervals and initiation of pregnancy within a unified framework. We develop a general methodology for estimating the determinants of transition times to births of different orders. Our procedure incorporates time-varying explanatory variables and unobservables. We present conditions that justify conventional formulae relating hazards to survivor functions when time-varying variables enter hazards. We also consider the validity of widely-used piecemeal estimation strategies that focus on one birth at a time. We consider methods for selecting a best model among a class of non-nested models. Two criteria are set forth and used to evaluate the detminants of third births in Sweden.We find that two models fit Swedish microdata equally well. One model is consistent with neoclassical economic theory. It assigns a central role to the wages of men and women in explaining the timing and spacing of births. The other model is purely demographic and excludes wages. Purely statistical criteria cannot distinguish these models although in other work we show that the economic models are more parsimonious in terms of the number of parameters that must be estimated and are better able to forecast aggregate time series.We demonstrate how to interpret the output of multistate fertility models. Wage effects on third births are decomposed into two components: (a) an in direct effect that determines whether a woman is at risk to have a third birth, and (b) a direct effect on the transition rate to the third birth given that a woman has had two births. We find that female wages play an important role in postponing first births but play only a minor role in explaining childlessness. Female wages substantially affect third births. Male wage effects are weaker. We find that female wage effects weaken for more recent cohorts of women. This evidence is consistent with the introduction of progressively more pronatal Swedish policies.This research was supported by NIH Grant No. HD-19226 to NORC. We have benefited from the comments of Elja Arjas and Ricardo Barros. This paper was presented at an IUSSP Conference in Paris, France, in March 1988, and as an invited lecture at the Fourth ESPE Meetings in Istanbul, Turkey, June, 1990. This paper is one part of a trilogy. Heckman and Walker (1990a) presents a succinct summary of the main economic results. Heckman and Walker (1990b) presents a more complete discussion of the empirical results. This paper presents a more purely demographic discussion.     

A strategy for active ageing

This article argues that a strategy of active ageing, by linking the key policy domains of employment, pensions, retirement, health and citizenship, provides a sound basis for industrialized countries to respond to the challenges presented by population ageing. The article outlines the genesis of the concept of active ageing and the principles that should be embodied in a modernized, comprehensive approach fit for the twenty-first century. It then considers the potential for active ageing to address problems in the five key policy domains. Finally the article sets out a strategy on active ageing and illustrates how it might be operationalized at different stages of the life cycle. In conclusion the potentially beneficial nature of a comprehensive strategy on active ageing is emphasized: it represents the unusual combination of a morally correct policy that also makes sound economic sense.     

Temperament and Social Problem Solving Competence in Preschool: Influences on Academic Skills in Early Elementary School

The goals of the current study were to examine whether children's social problem solving (SPS) skills are a mechanism through which temperament influences later academic achievement and whether sex moderates these associations. The participants included 1117 children enrolled in the National Institute of Child Health and Human Development Study of Early Child Care. During preschool, mothers and childcare providers rated children's temperamental shyness and inhibitory control, and SPS was assessed using a hypothetical–reflective measure during a laboratory visit. During kindergarten and first grade, teacher‐report of math and language skills was collected. The results indicated that high ratings of inhibitory control in preschool, but not shyness, predicted better kindergarten and first‐grade academic skills. Furthermore, children's SPS competence mediated the relations between both shyness and inhibitory control on later academic skills. The child's sex did not moderate these associations. The results suggest that preventative efforts targeting early SPS skills may buffer against later academic adjustment problems among temperamentally extreme children.     

Psychosocial Intervention and Clinical/Educational Outcomes for Students with Emotional and Behavioral Disorders: An Evaluation of the Astor Transitions Program

The Astor Transitions Program (ATP) was developed to assist youth with emotional and behavioral disorders moving into a new educational environment where the services would often be less integrated. A research/evaluation consultant was hired to conduct a program evaluation of the ATP. The study sample consists of the charts of 150 consecutive students admitted to ATP between April 2010 and March 2013. The following hypothesis was tested: the ATP service in terms of caseworkers’ contacts will be associated with better clinical and educational outcomes. The major findings were the impact of caseworker contacts on clinical outcomes was indirect and greatest on type of placement; caseworker contacts had no effect on school attendance, yet ATP students were present about 85% of the time; and casework activity increased for chronic cases in placement but decreased after hospitalization. Recommendations were made to program staff on how to improve ATP services.     

Determinants of Volunteering Within a Social Housing Community

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - In general, research demonstrates that deprivation, education, health, and well-being are determinants of volunteering,...     

Neoliberalism and the reform of regulation policy in the Australian trucking sector: policy innovation or a repeat of known pitfalls?

This study explores the influences of neoliberalism on the design and operation of regulation policy in the Australian trucking sector. It examines the introduction of a programme of voluntary self-regulation and considers why despite known weaknesses, regulators persist with such policy reforms. The study draws on qualitative research involving representatives of policy and regulatory agencies as well as industry participants. The analysis examines the role of markets in directing truck operator interest towards public policy compliance objectives. This generates a diversity of responses from firms ranging from willing compliance to deceptive ritualism. The findings reveal how voluntary self-regulation appeals to some segments of industry and how in this case it also signals a shift in regulatory culture, facilitating a new and more engaging dialogue between industry and regulators around compliance and safety concerns. This study shows that advances in industry-regulator engagement help explain why neoliberal policy influences are often readily embraced by regulatory agencies. Here, we see how programmes of voluntary self-regulation present both symbolic and substantive value for key policy actors.     

Univariate Bayesian nonparametric mixture modeling with unimodal kernels

Within the context of mixture modeling, the normal distribution is typically used as the components distribution. However, if a cluster is skewed or heavy tailed, then the normal distribution will be inefficient and many may be needed to model a single cluster. In this paper, we present an attempt to solve this problem. We define a cluster, in the absence of further information, to be a group of data which can be modeled by a unimodal density function. Hence, our intention is to use a family of univariate distribution functions, to replace the normal, for which the only constraint is unimodality. With this aim, we devise a new family of nonparametric unimodal distributions, which has large support over the space of univariate unimodal distributions. The difficult aspect of the Bayesian model is to construct a suitable MCMC algorithm to sample from the correct posterior distribution. The key will be the introduction of strategic latent variables and the use of the Product Space view of Reversible Jump methodology.     

A Note on Whittle's Likelihood

The approximate likelihood function introduced by Whittle has been used to estimate the spectral density and certain parameters of a variety of time series models. In this note we attempt to empirically quantify the loss of efficiency of Whittle's method in nonstandard settings. A recently developed representation of some first-order non-Gaussian stationary autoregressive process allows a direct comparison of the true likelihood function with that of Whittle. The conclusion is that Whittle's likelihood can produce unreliable estimates in the non-Gaussian case, even for moderate sample sizes. Moreover, for small samples, and if the autocorrelation of the process is high, Whittle's approximation is not efficient even in the Gaussian case. While these facts are known to some extent, the present study sheds more light on the degree of efficiency loss incurred by using Whittle's likelihood, in both Gaussian and non-Gaussian cases.     

Posterior Sampling When the Normalizing Constant is Unknown

This article describes a means by which to undertake Bayesian posterior inference via sampling techniques when the normalizing constant is not computable and hence unavailable. The strategy relies on the introduction of latent variables which removes any integrals associated with the inaccessibility of the normalizing constant.