Econometric Methods for Investigating Dynamics Indicators of the Resource Intensity in the Domestic Economy (Tools and Statistical Results)
The present paper is a continuation of theoretical and methodological issues concerning the construction of time series of indicators of the utilization of capital, labor, and material resources (or inverse indicators of resource intensity). The indicators were differentiated by the so-called “new” and “old” elements of the productive apparatus. The paper presents the approaches to practical implementation of the developed econometric methods and the results of construction of indicators of material resources use in physical terms for the reported balance sheets.
Econometric models of the dependence on various factors of the number of participants of the Unified State Examination, which have scored different points for certain subjects in 2012 and 2013, are considered. The analysis uses data on high and low scores for regions of Russia. Dependences of the number of good and bad Unified State Examination points on the number of students who took part in the exam in different regions are studied. It is shown that, the more the number of participants in the exam in each region, the greater the number of both good and bad ratings in the region. But, as a rule, the number of low grades in a discipline is a concave function, and the number of high grades is a convex function of the number of schoolchildren who took part in the exam.
This article analyzes some of the most common approaches to the heterogeneity of capital assets in macroeconomic models. According to the analysis results, a general statistical model is formulated that provides an opportunity to assess effectiveness coefficients (resource intensity) on the basis of empirical data. The coefficients are differentiated according to new and basic technologies with respect to particular industries of the real sector of the domestic economy.
Currently, the need for the real-time evaluation of the functioning effectiveness of the subjects of the Russian Federation is observed. To achieve this goal, the situation centers, able to perform the monitoring of the socio-economic indicators both at the federal and regional levels, are created in Russia. At the same time, it is necessary to implement the information-analytical system to make forecasts for the following periods, as well as to conduct a plan-fact analysis based on the available data, using various methods. In the framework of this study, the situation center of Federal State Budgetary Educational Institution of Higher Education "Plekhanov Russian University of Economics" (FSBEI HE "Plekhanov RUE") is considered. The development of the information-analytical system based on a hybrid forecasting model, integrated with the software of the center under consideration, is proposed by the authors. The examples of the calculations and the estimation of their accuracy and quality, obtained with the prototype of the system under development, are presented.
At the present time the problem of managing the cost of capital in conditions of external economic shocks is particularly relevant. This occurs because of implementation in 2014 by Bank of Russia new requirements for the structure and capital adequacy of Russian banks in accordance with the Basel 3 capital standards. In this paper we investigate the dependence between the total capital value of the Russian Federation banking sector and the main macroeconomic indicators. Also we assessed the extent and speed of their impact on capital, based on the vector autoregression model.
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.