Average life expectancy of the population of the USSR

Mortality trends in the USSR from the middle of the nineteenth century to the present day are analyzed, with a focus on changes in life expectancy. The authors note that life expectancy increased up to 1964-1965, declined subsequently, and stabilized during the 1980s. Life expectancy has again started to rise since 1985. More detailed analyses of mortality differentials by sex and age and for the rural and urban populations are included. (SUMMARY IN ENG)     

Recent Mortality Trend Reversal in Russia: Are Regions Following the Same Tempo?

After several decades of negative trends and short-term fluctuations, life expectancy has been increasing in Russia since 2004. Between 2003 and 2014, the length of life rose by 6.6 years among males and by 4.6 years among females. While positive trends in life expectancy are observed in all regions of Russia, these trends are unfolding differently in different regions. First, regions entered the phase of life expectancy growth at different points in time. Second, the age- and cause-specific components of the gains in life expectancy and the number of years added vary noticeably. In this paper, we apply decomposition techniques—specifically, the stepwise replacement algorithm—to examine the age- and cause-specific components of the changes in inter-regional disparities during the current period of health improvement. The absolute inter-regional disparities in length of life, measured by the population-weighted standard deviation, decreased slightly between 2003 and 2014, from 3.3 to 3.2 years for males, and from 2.0 to 1.8 years for females. The decomposition of these small changes by ages and causes of death shows that these shifts were the result of diverse effects of mortality convergence at young and middle ages, and of mortality divergence at older ages. With respect to causes of death, the convergence is mainly attributable to external causes, while the inter-regional divergence of trends is largely determined by cardiovascular diseases. The two major cities, Moscow and Saint Petersburg, are currently pioneering mortality improvements in Russia and are making the largest contributions to the inter-regional divergence.     

The Cultural Preferences of Today's Russian College Students

Cultural interests of young Russians are changing, interest in science and mathematics is less than it was for earlier generations, and universities in Russia are having to provide an education that is more compensatory as well as more elementary than was the case a few years ago.     

Acute Middle Ear Infection in Small Children: A Bayesian Analysis Using Multiple Time Scales

The study is based on a sample of 965 children living in Oulu region (Finland), who were monitored for acute middle ear infections from birth to the age of two years. We introduce a nonparametrically defined intensity model for ear infections, which involves both fixed and time dependent covariates, such as calendar time, current age, length of breast-feeding time until present, or current type of day care. Unmeasured heterogeneity, which manifests itself in frequent infections in some children and rare in others and which cannot be explained in terms of the known covariates, is modelled by using individual frailty parameters. A Bayesian approach is proposed to solve the inferential problem. The numerical work is carried out by Monte Carlo integration (Metropolis-Hastings algorithm).     

Role of social welfare in European suicide prevention

Yur'yev A, Värnik A, Värnik P, Sisask M, Leppik L. Role of social welfare in European suicide prevention The aims of this study were to assess the relationship between suicide mortality and social expenditure in 26 European countries, explore attitudes towards welfare systems and their relationship with suicide mortality, and compare attitudes towards welfare provision in Eastern and Western Europe. The World Health Organization suicide data and Organisation for Economic Co‐operation and Development social expenditure data for 1980–2005 were used. Data on attitudes towards welfare systems were taken from the European Social Survey. Differences between mean scores for attitudes in Western and Eastern European countries were calculated. Correlations between social expenditure and suicide trends were negative in most countries for both genders. Inverse correlations between attitudes towards welfare provision and suicide mortality rates were demonstrated for males only. Differences in attitudes were found between Eastern and Western European countries; for example, confidence in the welfare system was found to be stronger in Western Europe. Higher social expenditure and greater confidence in welfare provision appear to have suicide‐preventive effects.     

Inference in Dynamic Discrete Choice Models With Serially orrelated Unobserved State Variables

This paper develops a method for inference in dynamic discrete choice models with serially correlated unobserved state variables. Estimation of these models involves computing high‐dimensional integrals that are present in the solution to the dynamic program and in the likelihood function. First, the paper proposes a Bayesian Markov chain Monte Carlo estimation procedure that can handle the problem of multidimensional integration in the likelihood function. Second, the paper presents an efficient algorithm for solving the dynamic program suitable for use in conjunction with the proposed estimation procedure.     

Computational Examples of a New Method for Distribution Selection in the Pearson System

A considerable problem in statistics and risk management is finding distributions that capture the complex behaviour exhibited by financial data. The importance of higher order moments in decision making has been well recognized and there is increasing interest in modelling with distributions that are able to account for these effects. The Pearson system can be used to model a wide scale of distributions with various skewness and kurtosis. This paper provides computational examples of a new easily implemented method for selecting probability density functions from the Pearson family of distributions. We apply this method to daily, monthly, and annual series using a range of data from commodity markets to macroeconomic variables.