Russian Mortality Crisis and the Quality of Vital Statistics

Mortality from ill-defined conditions in Russia has the fastest rate of increase compared to all other major causes of death. High proportion of deaths in this category is indicative for low quality of mortality statistics. This article examines the trends and possible causes of mortality from ill-defined conditions in Russia. During 1991–2005, mortality from ill-defined conditions in Russia increased in all age groups. The pace of increase was particularly high at working ages and the mean expected age at death from ill-defined conditions has shifted to younger ages, particularly for men. The analysis of individual medical death certificates issued in Kirov and Smolensk regions of Russia demonstrate that 89–100% of working-age deaths from ill-defined conditions correspond to human bodies found in a state of decomposition. Data from Smolensk region shows that over 60% of these decedents were unemployed. Temporal trends of mortality from ill-defined conditions and injuries of undetermined intent in Moscow city suggest that deaths from the latter cause were probably misclassified as ill-defined conditions. This practice can lead to underestimation of mortality from external causes. Growing number of socially isolated marginalized people in Russia and insufficient investigation of the circumstances of their death contribute to the observed trends in mortality from ill-defined conditions.     

Parenting with a Disability and Child Mental Health: A Propensity Score Analysis

Little research has examined the impact of having a parent with a disability on child mental health. This study used data from 7,116 families of children who participated in the 2006 National Health Interview Survey and propensity score matching (PSM) to investigate this question. Prior to PSM, differences in Child Mental Health Brief scores were significant with a moderate effect size. After PSM, differences in Child Mental Health Brief scores were still significant, but the effect size was small. Results indicate that much of the mental health risk for children of parents with disabilities is connected to related issues.     

The socioeconomic gradient in health: how important is material deprivation?

In this paper we use the Spanish Living Conditions Survey (2005–2008) to investigate the existence of a socioeconomic gradient in health when alternative measures of socioeconomic status, apart from income, are considered. In particular we construct a material deprivation index that reflects minimum standards of quality of life and that incorporates comparison effects with societal peers and we estimate health equations with probit adapted least squares, fixed effects and instrumental variables. Our results reveal that the relationship between health and income operates through comparison information with respect to societal peers. In contrast, material deprivation in terms of financial difficulties, basic necessities and housing conditions exerts a direct effect on individual health. Mixed evidence is found with respect to gender.     

Motivation vs. relevance: Using strong ties to find a job in Urban China

While the idea that contacts matter in finding a job is intuitively appealing, we still do not know—after decades of research—how and why strong ties benefit job seekers. To resolve this confusion, we need to theorize how specific characteristics of ties are related to the mechanisms that make job search through contacts effective. We have reasons to expect that, while a contact’s motivation influences the likelihood that a job seeker receives an offer, her homophily with the job seeker on occupation and other job-relevant attributes influences the quality of the offer. The use of strong ties among university students to find jobs in China provides a unique opportunity to empirically isolate the relationship between contact characteristics and the mechanisms through which contacts benefit the job seeker. I tested my hypotheses with data on both the successful and unsuccessful job searches of 478 graduates of China’s flagship universities, who, as first-time job seekers, primarily used strong ties. Survey results are consistent with my hypotheses: job seekers who used strong ties to look for jobs had more offers—but not better offers—than those who used only formal methods.     

Estimation of multivariate conditional-tail-expectation using Kendall's process

This paper deals with the problem of estimating the multivariate version of the Conditional-Tail-Expectation, proposed by Di Bernardino et al. [(2013), ‘Plug-in Estimation of Level Sets in a Non-Compact Setting with Applications in Multivariable Risk Theory’, ESAIM: Probability and Statistics, (17), 236–256]. We propose a new nonparametric estimator for this multivariate risk-measure, which is essentially based on Kendall's process [Genest and Rivest, (1993), ‘Statistical Inference Procedures for Bivariate Archimedean Copulas’, Journal of American Statistical Association, 88(423), 1034–1043]. Using the central limit theorem for Kendall's process, proved by Barbe et al. [(1996), ‘On Kendall's Process’, Journal of Multivariate Analysis, 58(2), 197–229], we provide a functional central limit theorem for our estimator. We illustrate the practical properties of our nonparametric estimator on simulations and on two real test cases. We also propose a comparison study with the level sets-based estimator introduced in Di Bernardino et al. [(2013), ‘Plug-In Estimation of Level Sets in A Non-Compact Setting with Applications in Multivariable Risk Theory’, ESAIM: Probability and Statistics, (17), 236–256] and with (semi-)parametric approaches.     

Using mixtures in seemingly unrelated linear regression models with non-normal errors

Seemingly unrelated linear regression models are introduced in which the distribution of the errors is a finite mixture of Gaussian distributions. Identifiability conditions are provided. The score vector and the Hessian matrix are derived. Parameter estimation is performed using the maximum likelihood method and an Expectation–Maximisation algorithm is developed. The usefulness of the proposed methods and a numerical evaluation of their properties are illustrated through the analysis of simulated and real datasets.     

Joint analysis of occurrence and time to stability after entrance into the Italian labour market: an approach based on a Bayesian cure model with structured stochastic search variable selection

Precarious employment is a serious social problem, especially in those countries, such as Italy, where there are limited benefits from social security. We investigate this phenomenon by analysing the initial part of the career of employees starting with unstable contracts for a panel of Italian workers. Our aim is to estimate the probability of getting a stable job and to detect factors influencing both this probability and the duration of precariousness. To answer these questions, we use an ad hoc mixture cure rate model in a Bayesian framework.     

On a goodness-of-fit test for normality with unknown parameters and type-II censored data

We propose a new goodness-of-fit test for normal and lognormal distributions with unknown parameters and type-II censored data. This test is a generalization of Michael's test for censored samples, which is based on the empirical distribution and a variance stabilizing transformation. We estimate the parameters of the model by using maximum likelihood and Gupta's methods. The quantiles of the distribution of the test statistic under the null hypothesis are obtained through Monte Carlo simulations. The power of the proposed test is estimated and compared to that of the Kolmogorov–Smirnov test also using simulations. The new test is more powerful than the Kolmogorov–Smirnov test in most of the studied cases. Acceptance regions for the PP, QQ and Michael's stabilized probability plots are derived, making it possible to visualize which data contribute to the decision of rejecting the null hypothesis. Finally, an illustrative example is presented.     

More Money,More Problems? Resource Dependence and Professionalization of Non-governmental Social Services Organizations in Southern Spain

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This study analyzes the strategies displayed by non-governmental organizations in the social services sector to face the...