Оценки неравенства в здоровье россиян
The paper analyses income-related health inequality in Russia using empirical estimates of mean values of several health indicators and related cumulative curves and concentration indices estimates made on the RLMS-HSE 2018 data. The study has revealed that (1) the proportion of people with poor health is higher in the groups of respondents with low income; (2) having a higher education impacts on self-assessed but not on the other more objective health indicators; (3) inequality in health, measured in terms of individual income, is higher among men than among women, and, conversely, inequality in access to health services is higher among women; (4) continuous/ordered health indicators produce lower inequality values compared with dichotomized indicators. The methodology and estimates presented in the paper can be recommended as controls for health and related programs results.
According to the common definition of unemployment, the unemployed are those who are not in paid employment or self-employment, are seeking work and are available for work. А job search model is estimated from a sample of the unemployed and from some extended samples of the jobless, obtained by loosening that definition gradually. Revealed similarities and differences constitute the result of the research.
This paper is devoted to the rational behavior in the sense of the educational level choice. The theoretical model is based on the discounted flow of personal’s utility function covered the period of the education and future work. Maximizing the flow under the budget constraint we received differential equation included the rate of income grow after the acquisition of education. The solution is the Mincerian type equation. The main result of the model is that the persons with rapid growth of their earnings profile should have the smaller slope coefficients of schooling in the earnings equation. The empirical part of the research is based on the Russian Longitudinal Monitoring Survey (RLMS) data set. The theoretical results have been confirmed by the regression analysis. Splitting the RLMS sample according to the respondents’ wage profiles we received that highly educated agents unlike the unskilled workers have higher income but slighter slope earnings profiles. It means that the workers expected the high growth of their incomes after the schooling are less inclined to receive higher level of education. Otherwise the persons who expected high income on the job start justify their hopes, but come across the low growth of the incomes.
In this paper the public-private wage gap is estimated by means both of the OLS and the quantile regression, which will provide a more complex picture of the distribution of the public-private sector wage gap. The author finds the existence of significant public-private wage gap (about 30%) considering both observable and unobservable characteristics of workers and jobs. Using the decomposition based on quantile regression helps to answer the question about the nature of the wage differences. The author comes to the conclusion that the main reason for the gap is the institutional mechanisms of public sector wages in Russia. The analysis is based on the data from Russian Longitudinal Monitoring Survey (RLMS-HSE) 2000-2010.
The paper observes the main patterns of youth consumption and leisure in contemporary Russia. It relies on the Russian Longitudinal Monitoring Survey of HSE, a set of nationally representative household-based surveys which includes data collected from 1994 to 2013. The data shows that by 2010 the level of youth consumption has risen along with the households’ overall income and expenditure. Since financial problems were alleviated, there was a redistribution of time between work and leisure, so youth turned to the active cultural consumption, including non-entertainment services. However, the total increase in products and services consumed went hand in hand with the rise of differentiation in the availability of durables, patterns of consumption and leisure practices.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.