Безопасность личности и проблема противодействия преступности
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.
The dominating goal of the research is to analyze the factors, creating incentives to manipulate the economic and political environment to increase personal wealth. Empirical part of the research is mainly based on the data of the "Russia Longitudinal Monitoring survey, RLMS-HSE”-2006
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.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.