Local linear estimation of a generalized regression function with functional dependent data

This work deals with a local linear non parametric estimation of the generalized regression function in the case of a scalar response variable given a random variable taking values in a semimetric space. The rates of pointwise and uniform almost complete convergence are established for the studied estimator when the sample is an α-mixing sequence. Two real datasets are used to illustrate the performance of a studied estimator with respect to the kernel method.     

Varying levels of anomie in Europe: a multilevel analysis based on multidimensional IRT models

Recent years have seen increased attention paid to monitoring social anomie and its dependency on micro- and macro-factors. In this paper, we endorse the theorisation of social anomie as a complex, multidimensional and multilevel phenomenon. To ensure a rigorous measurement of the varying levels of social anomie in the European countries, the current study relies on a multilevel multidimensional item response theory model which explicitly accounts for the presence of a non-ignorable missing data mechanism. This unified approach makes it possible to specify an analytical model of links between anomie features and their determinants and to explore how the latent traits of interest are influenced by individual-level factors, as well as by country-level indicators. Additionally, to avoid misleading inferential conclusions, the proposed model takes into account the respondent’s omitting behaviour, assuming that the missingness mechanism is driven by a latent propensity to respond. Data used in this study have been collected in the 2010 wave of the European Social Survey. To reduce the computational complexities, a Bayesian specification of the MIRT model is provided and the parameter model estimates are obtained through MCMC algorithms.     

Robust parameter estimation of regression model with AR(p) error terms

In this article, we consider a linear regression model with AR(p) error terms with the assumption that the error terms have a t distribution as a heavy-tailed alternative to the normal distribution. We obtain the estimators for the model parameters by using the conditional maximum likelihood (CML) method. We conduct an iteratively reweighting algorithm (IRA) to find the estimates for the parameters of interest. We provide a simulation study and three real data examples to illustrate the performance of the proposed robust estimators based on t distribution.     

Optimal number of components in a load-sharing system for maximizing reliability

A $k$-out-of-$n$:G load sharing system is a cluster of $n$ components designed to withstand a certain amount of load in field operation, working only if no fewer than $k$ components work. Previous research on a load sharing system has focused on predicting the time-independent reliability from the stress–strength model or estimating the unknown parameters of the time-dependent reliability for a given load sharing rule. Differently, in this paper, we consider the problem of determining the optimal $n$ to maximize the reliability of both $n$-out-of-$n$:G and ($n$–$1$)-out-of-$n$:G load sharing systems. Since the load of each component decreases in $n$, the proportional hazard model is employed to relate the component failure rate with the load, assuming that the components, which have exponential distributions for given loads, are independent of each other. We then derive a sufficient condition under which a smaller number of components each withstanding a high load is preferred to a larger number of components each withstanding a small load. A numerical example is given for the rocket propulsion system to illustrate the result.     

Linkage leverage democratization and liberalization: is promoting democracy the same as promoting human rights?

Research on transnational human rights promotion and democratization often assumes that human rights promotion and democratization promotion are the same. But evidences from recent studies give reasons to question this assumption. This article compares the EU’s influence on democratization and human rights reforms in 29 countries in East-Europe West-Asia, the Middle East, and North-Africa. The results indicate that the impact of the EU on human rights protection is more notable than its impact on democracy levels. The article explains these results based on the lower level of threat to regime survival as a result of human rights reform, compared to democratization; the transmission of a clear message regarding the importance of the issue of human rights to the EU and to the member states; and the strong economic leverage the EU possess. The article draws policy implications including matching each policy goal with the most effective instruments to achieve it. The most effective human rights promotion instrument is economic pressure whereas democratization is more influenced by emulation processes than by economic pressure.     

Boomer Matters: Responding to Emotional Health Needs in an Aging Society

This study explores baby boomer-aged adults’ experiences accessing an emotional health program (EHP) in a community-based seniors’ center, examining differences between it and an older cohort of users. Data generation includes client-based surveys (n=118), in-depth qualitative interviews (n=20) with client users and professionally-trained counselors (n=2), and a focus group with peer support service worker (n=14). Key findings suggest EHPs as a preventative strategy to address familial abuse, the need for education and support on sexual health and dating, and the need to combat ageism to improve access. Community-based seniors’ centers as a cost-effective approach to health promotion is also highlighted.     

Resident interaction and social well-being in an oil boomtown in western North Dakota

Previous studies on the social well-being of residents living in energy boomtowns focus primarily on demographic characteristics of residents. These studies do not consider that there could be a relationship between residents’ social well-being and whether they interact with new residents moving into their community. The current study includes a measure of interaction with new residents as it examines five dimensions of the social well-being of residents living in an oil boomtown in western North Dakota. Surveys were distributed door-to-door to residents living in Williston North Dakota during the fall of 2015. Research findings show that people who reported that they interact with new residents moving into their community felt safe from crime and violence in their community; felt more socially integrated in their community; had high levels of community trust and community satisfaction, and believed that they could count on their neighbors. These findings are important because they highlight the significance of social interaction in communities that experience rapid population growth resulting from increased energy production.     

Discounting health and money: New evidence using a more robust method

This study compares discounting for money and health in a field study. We applied the direct method, which measures discounting independent of utility, in a representative French sample, interviewed at home by professional interviewers. We found more discounting for money than for health. The median discount rates (6.5% for money and 2.2% for health) were close to market interest rates, suggesting that at the aggregate level the direct method solves the puzzle of unrealistically high discount rates typically observed in applied economics. Constant discounting fitted the data better than the hyperbolic discounting models that we considered. The substantial individual heterogeneity in discounting was correlated with age and occupation.     

Can Reporting Heterogeneity Explain Differences in Depressive Symptoms Across Europe?

Depression is one of the leading causes of disability in the developed world. Previous studies have shown varying depression prevalence rates between European countries, and also within countries, between socioeconomic groups. However, it is unclear whether these differences reflect true variations in prevalence or whether they are attributable to systematic differences in reporting styles (reporting heterogeneity) between countries and socioeconomic groups. In this study, we examine the prevalence of three depressive symptoms (mood, sleeping and concentration problems) and their association with educational level in 10 European countries, and examine whether these differences can be explained by differences in reporting styles. We use data from the first and second waves of the COMPARE study, comprising a sub-sample of 9,409 adults aged 50 and over in 10 European countries covered by the Survey of Health, Ageing and Retirement in Europe. We first use ordered probit models to estimate differences in the prevalence of self-reported depressive symptoms by country and education. We then use hierarchical ordered probit models to assess differences controlling for reporting heterogeneity. We find that depressive symptoms are most prevalent in Mediterranean and Eastern European countries, whereas Sweden and Denmark have the lowest prevalence. Lower educational level is associated with higher prevalence of depressive symptoms in all European regions, but this association is weaker in Northern European countries, and strong in Eastern European countries. Reporting heterogeneity does not explain these cross-national differences. Likewise, differences in depressive symptoms by educational level remain and in some regions increase after controlling for reporting heterogeneity. Our findings suggest that variations in depressive symptoms in Europe are not attributable to differences in reporting styles, but are instead likely to result from variations in the causes of depressive symptoms between countries and educational groups.