Трансформационный спад и структурные изменения в российском промышленном производстве
Вып. 30. М.: Институт экономики переходного периода, 2001.
Замулин О. А., Стырин К. А. Вопросы экономики. 2012. № 1. С. 4-20.
Added: Aug 21, 2012
Added: Mar 19, 2013
Бессонов В. А., Гимпельсон В. Е., Ясин Е. Г. и др. В кн.: X Международная научная конференция по проблемам развития экономики и общества: В 3 кн.. Кн. 1. М.: Издательский дом ГУ-ВШЭ, 2010. С. 11-61.
Added: Dec 21, 2012
Моторин В. И. Количественный анализ в экономике. WP2. Высшая школа экономики, 2005. № 02.
The paper studies a new optimization-based approach to macroeconomic time-series analysis on the basis of additive representation of any initial time-series by the sum of calendar, seasonal, oscillating, irregular and trend components. The special attention is paid to prior component properties analysis and elaboration of sequential decomposition criteria that provide direct handling of formalized properties as constraints of mathematical programming problems. An illustrative example of structural dynamics model of domestic industrial production index in 19952004 is given.
Added: Apr 1, 2013
Шабанова М. А. М.: Экономика, 2012.
Added: Oct 25, 2012
Пути и опыт решения актуальных вопросов развития экономики и общества в России и Германии. Сборник докладов международной научно-практической конференции
Edited by: Л. Совершаева СПб.: ГУАП, 2011.
Added: Jan 18, 2013
Смирнов С. В. Количественный анализ в экономике. WP2. Высшая школа экономики, 2012. № WP2/2012/04.
The trajectory of the industrial output of the Russian empire – the USSR – the Russian Federation for more than 150 years has been carefully investigated through official statistics as well as dozens of alternative estimates made by Russian and foreign experts. Calculation of the aggregated “consensus” industrial production index has made it possible to date the cyclical turning points and to measure the depth and length of the main industrial recessions for the last century and a half. The most important causes of all these recessions are described. The cyclical volatility of Russian industry is compared with the cyclical volatility of American industry.
Added: Apr 12, 2013
Галанова А. В. В кн.: Инновационность экономики России и процессы глобализации. 21 ноября - 23 декабря 2011 г.: материалы интернет-конференции. М.: Российский экономический университет имени Г.В. Плеханова, 2012. С. 106-108.
Added: Nov 15, 2012
Плотников А. Т. 2. Саратов: Издательство ЦПМ «Академия Бизнеса», 2011.
Added: May 11, 2012
Трудовая мобильность и стабильность: насколько высока отдача от специфического человеческого капитала в России?
Мальцева И. О. Научные труды Лаборатории исследований рынка труда. WP15. НИУ ВШЭ, 2007. № 01.
The paper is devoted to the role of specific human capital in Russian economy. Using data from the Russian Longitudinal Monitoring Survey we analyze job tenure in Russia in 1990s and 2000s, estimate the return to specific human capital and labor mobility in terms of wage growth. Our findings show that patterns of growing magnitude of labor mobility are even more actual nowadays compared to transitional 1990s. It provides evidences of extremely low value of specific human capital which is accumulated during the long-term employment relationships with the same employer. Moreover, we have found that Russian workers have paid some “penalty” for specifity of their human capital. Current decline of demand on specific human capital can be explained as a result of economy globalization, Russia’s integration into the world economy processes and changes in business structure of modern firm and enterprises.
Added: Feb 26, 2013
Юрченко К. П. В кн.: Модернизация экономики и глобализация: В 3 кн. Кн. 3.. Кн. 3. М.: Издательский дом ГУ-ВШЭ, 2009. С. 476-486.
Added: Aug 20, 2013
Added: Sep 21, 2012
Экономика и управление: проблемы и перспективы развития. Сборник научных статей по итогам международной научно-практической конференции г.Волгоград 15-16 ноября 2010 г.
Ч. 1. Волгоград: Волгоградское научное издательство, 2010.
Added: Jan 18, 2013
Anisimova A. I., Muradyan P. A., Vernikov A. V. SSRN Working Paper Series. Social Science Research Network, 2011. No. 1919817.
This empirical paper adds to competition and industrial organization literature by exploring the interplay between industry structure and competitiveness on local, rather than nation-wide, markets. We use micro-level statistical data for banks in two Russian regions (Bashkortostan and Tatarstan) to estimate Herfindahl-Hirschman index, Lerner index, and Panzar-Rosse model. We estimate Panzar-Rosse model in two ways: via the widely used price-equation that accounts for scale effects and then via a revenue-equation that disregards scale effects as suggested by Bikker et al. (2009). We find both regional markets to be ruled by monopolistic competition, although estimation by revenue-equation does not reject monopoly hypothesis for Tatarstan. Existence of sizeable locally-owned and operated institutions does not necessarily lead to higher competitiveness of the given regional market, and the results from non-structural methods of estimation suggest that bank competition in Bashkortostan is stronger than in Tatarstan. Going further away from aggregated analysis we compute Lerner indices in two product segments of Tatarstan – retail and corporate loans – and find that retail segment is significantly more competitive. Local banks exert more market power in corporate loans, while federal branches – in retail loans.
Added: May 14, 2012
Added: Feb 22, 2013
Трунин П. В., Дробышевский С. М., Евдокимова Т. В. М.: Издательский дом «Дело» РАНХиГС, 2012.
Added: Mar 26, 2013
Яковлев А. А. Общественные науки и современность. 2008. № 4. С. 21-37.
Added: Sep 22, 2012
Penikas H. I. Financial Economics. FE. Высшая школа экономики, 2012. No. 03.
The Basel Committee of Banking Supervision initiated a discussion on the most efficient practices to prevent bank managers from excessive risk-taking. This paper proposes a game-theoretical approach, describing the decision-making process by a bank manager who chooses his own level of risk and effort. If the level of risk implies the variability of the future outcome, the amount of effort applied affects the probability of a positive outcome. Although effort is unobserved for the bank’s stakeholders, the risk level is under control, and is associated with certain indicators such as capital adequacy ratio or leverage level. The risk-neutral utility function of a bank manager and a binary game outcome of gaining profit or loss for a bank are assumed. Starting from the general incentive contract scheme having the fixed and variable parts of remuneration, it is proposed that differentiating the variable part of remuneration is sufficient to motivate bank managers to make fewer risky decisions. More precisely, the variable part of remuneration (e.g. the share of the bank’s profit) needs to be higher in proportion to the higher variance of outcome for the high -risk outcome case to stimulate a bank manager to opt for lower-risk decisions in place of higher-risk situations.
Added: May 3, 2012
Уринсон Я. М. Вестник Европы. 2014. № 38-39.
Added: Feb 5, 2018
Penikas H. I., Titova Y. Financial Economics. FE. Высшая школа экономики, 2012. No. 02.
In this paper we elaborate a simple model that allows for the predicting of possible reactions from financial institutions to more stringent regulatory measures introduced by the Basel Committee on Banking Supervision (BCBS) in regard to global systemically important banks (G-SIBs). The context is framed by a 2011 BCBS document that proposes higher capital requirements for global systemically important banks. We attempt to analyze bank interactions in an oligopolistic market that is subject to demand constraints on loan amounts and additional loss absorbency requirements introduced by the regulator. We distinguish between the bank’s announced funding cost that determines both the loan amount issued and the market interest rate, and the bank’s true funding cost that has a direct impact on retained earnings. We conclude that in a two-stage game both banks will announce the highest funding cost, thus reducing the amount of loans granted (in line with the regulator’s objective), but at the expense of a higher cost of borrowing established in the market. If the game is repeated, then both banks also choose lower loan amounts in the periods prior to the last one in which the declared funding cost is the lowest possible. It should be noted that the designated outcome also coincides with the findings of the Monetary Economic Department of the Basel Committee on Banking Supervision.
Added: May 3, 2012
Added: Jun 24, 2011