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2016. vol. 20. No. 3
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377–414
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The aim of this paper is to reveal the main features of the bank lending channel in the Russian economy. Having the answer to this question is important for increasing the efficiency of monetary policy because it will allow to evaluate the extent to which monetary policy impulses affect bank loans that are one of the main source of investments in Russia. The methodology is based on [Kashyap, Stein, 2000]. We analyze monthly data on the individual Russian banks’ balance sheets over the period 2010–2014. In order to take into account considerable differences between different groups of the Russian banks we divide our sample into groups according to their ownership structure, value of net assets, and their main activities. We also address a heterogeneity in the period of time we study. It is shown that there exists a relationship between liquidity level of the Russian banks’ balance sheets, their lending policy and monetary policy impulses depending on the banks’ characteristics and the period of time. We find liquidity “anti-effect” for the big Russian banks during the structural liquidity deficit period: the more liquid their balance sheets, the more these banks substitute corporate loans with liquid assets purchases under conditions of contractionary monetary policy regime. For some groups of medium and small banks that prefer to maintain the volume of corporate loans by selling liquid assets we justify the “classical” Kashyap and Stein liquidity effect. We also find some groups of medium and small banks through which bank lending channel did not work during the period of time we analyze. |
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415–441
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The paper studies the evolution of inequality in the distribution of work between Russian households using data from RLMS HSE for 1994–2014. Following [Gregg, Wadsworth, 2008], I estimate disparities between individual and household-based measures of joblessness and compare actual household workless rates with counterfactuals based on a random distribution of work. My findings show that the Russian labor market is characterized by low extent of inequality between households in access to employment. There are fewer workless households than expected if employment were randomly allocated. Only 6–7 percent of working-age adults live in workless households. The workless household rate remained at approximately 10 percent for the whole period. Cyclical fluctuations are less pronounced for the household-based workless rates than for individual-based rates suggesting that households have internal resources to cope with macroeconomic shocks. Low inequality in distribution of work is explained largely by persistently high level of employment in two-adult households: the common pattern is that both adults work in such households and this household type makes up the largest share of households. The actual workless household rate hardly changed over the period, which masks various offsetting forces. Changes in the household structure (growing share of single-adult households) and labor market developments (increase in the individual workless rate) contributed to the rise of the predicted workless rate. This rise was offset by a falling polarization of work across Russian households. Expansion of higher education contributed to the concentration of employment in the better-educated households. |
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442–470
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In contrast to competition authorities in developed countries, Russian competition authority often applies price cap on domestic wholesale price for large exporting companies. Competition authority issues remedies under merger approval or as a part of infringement decisions. Until recently, remedies are considered almost exclusively as a sign of intention of Federal Antitrust Service, Russian Federation, to expand the influence on markets and to restore price regulation. In this context price remedies never have any positive effects. We suggest an alternative explanation. Large exporters of raw materials that obtain monopoly power due to mergers or protectionist policies exercise third-degree price discrimination. Prices for domestic customers, that are higher than export prices, decrease social welfare within the country. Price remedy is one of the ways to prevent price discrimination, together with import liberalization and sanctions for excessive prices. We analyze the impact of incremental market power due to mergers or protectionist trade policies as well as compensatory measures applied by Federal Antitrust Service, Russian Federation, on the markets of metals. As methods for empirical estimations financial event study and difference-in-differences method are applied. None of the instruments – including price remedies, antitrust investigations, the reduction of import tariffs – shows a clear advantage over others. With a reasonable degree of confidence we can only say that the lack of compensatory measures would be accompanied by higher prices in the domestic markets, up to several dozen percent. |
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471–499
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Physical inactivity is an important factor contributing to overweight and obesity in Russia and worldwide. The involvement in sports produces significant benefits in terms of better health and quality of life, making it an important research question. This paper aims to evaluate how income is associated with participation in sport and paying for sport among Russian adolescents. We do not study all sport expenditures (such as expenditures on sport clothes and equipment) but focus only on probability on paying for doing sport. We use the cross-section data from a survey on health behavior undertaken by the Levada-Center in November 2011. We use probit and heckprobit regressions to estimate the social and economic determinants of participation in sports (selection equation) and probability of paying for it (main equation). Our findings show that income is strongly associated with participation in sport but not with paying for sport. We also find that available at work/university sports infrastructure is among most important factors positively associated with involvement in sports. Males are more likely to participate in sport, but females are more inclined to pay for it (if choose participation in sport). High education and better health status are associated with higher probability of sport participation, while having children seem to be negatively associated with sport. Other significant factors are age, place of residence, beliefs about healthy lifestyle. |
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500–512
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I estimate the response of several variables representing business cycle activity to a restrictive shock of monetary policy within a Structural Vector Autoregression (SVAR) model using US quarterly data from 1967:Q1 to 2007:Q4. The monetary policy is measured by the Federal Funds rate, and the response to the Federal Funds rate shock is measured for the following variables: unemployment rate, capacity utilization rate, real GDP growth rate, GDP deflator-based inflation growth rate, commodity price growth rate, long-run interest rate, nominal personal consumption expenditures, gross private domestic investment, and change in private inventories. To identify the monetary policy rule and the monetary policy shock I use assumption that the lagged federal interest rate is included in the policy rule equation, and is excluded from each other equation of the structural model. I also use the usual for the SVAR literature assumption that the structural shocks are uncorrelated. If I include a sufficient variety of variables representing the state of the economic activity, these hypotheses suffice for the partial identification of the monetary policy rule and monetary policy shock, so the impulse response functions for the monetary policy shock can be estimated. I obtain relatively thin confidence intervals for the impulse response functions for the real sector variables, however, the impulse response functions for the inflation rate and for the commodity price growth rate are insignificant or weakly significant. All estimated impulse response functions are consistent with predictions of macroeconomic models with sticky prices. The maximum effect of the restrictive monetary policy shock is achieved 2–3 years after the shock, and the effect becomes insignificant after 4–6 years. |
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513–538
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The main investment strategy of the private equity funds includes the investment in the private companies, the value creation and selling it to the strategic investor, other private equity fund or the management. For the understanding of the value creation process, it is important to understand what is happening with companies during the period when they backed by the funds. The main objective of the article is analysis of the operational performance and capital structure of the Private Equity funds' portfolio companies. The main methods which were used in the paper were methods of mathematical, statistical and econometric analyses. The descriptive statistics was used for the analysis of the central tendency of the sample. Non-parametric Wilcoxon – Mann – Whitney test was used for mean difference test of operational performance and capital structure of the portfolio companies. Regression analysis was used to determine the factors which influence the operational performance of the portfolio companies.Sales, assets and debt of portfolio companies increased during the period under review. The difference in means of operational performance and capital structure ratios is statistically significant. The main factors which influenced the operational performance of portfolio companies are profitability, debt ratio and management turnover of the portfolio companies. Based on the econometric analysis we can say that the Private Equity funds make an influence on the operational performance of the portfolio companies in the Central Europe. In general, the operational performance of the Private Equity funds’ portfolio companies decreased after the buyout, but, interestingly, the operational performance of companies which had operational loss before the buyout increased. In general, conclusions of the study are in compliance with similar studies, while differences in macroeconomic and institutional environment of Central Europe impose limitations on analysis. |
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