Деловой климат в строительстве в IV квартале 2012 года
М.: Издательский дом НИУ ВШЭ, 2012.
Кудряшова Н. В., Пахомова О. П.
Leading author: Г. В. Остапкович
Research target: Economics and Management (including Public Administration)ConstructionMechanics and Mechanical EngineeringEffective Natural Resource Management
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Keywords: строительстводеловой климатиндекс предпринимательской уверенностиобобщенная конъюнктураобеспеченность заказамифизический объем работуровень загрузки производственных мощностейчисленность занятыхцены на строительные материалыцены на строительно-монтажные работыобеспеченность собственными финансовыми ресурсамифакторы, ограничивающие производственную деятельность строительных организацийприбыль
Publication based on the results of: Monitoring the Business Climate for Enterprises in the Real Sector and the Service Sector(2012)
Кечиев Л. Н., Лемешко Н. В. Технологии электромагнитной совместимости. 2010. № 2. С. 3-15.
Added: Apr 16, 2012
Новые информационные технологии. Тезисы докладов XIX международной студенческой конференции-школы-семинара
М.: МИЭМ, 2011.
Added: Apr 12, 2012
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Russian Firms: Business Environment, Internal Organization and Behavior // In «Russia e Europa dell’Est: Progetti e prospettive di crescite»
Dolgopyatova T. G. Serie di Studi Scentifici. University of Verona: Polo Scientifico Diddattico «Studi sull’ impresa» and Center for International Studies, 2012. No. 1.
The paper studies recent development in organization and behavior of Russian firms against the background of economic growth, the world crisis and post-crisis recovery. The main focus of the paper is a problem of investment, including foreign direct investment as a key determinant of Russian enterprises restructuring and modernization. In the context special attention was paid to description of external economic and institutional conditions for development of Russian firms, and their internal characteristics as stock ownership, corporate governance and behavior. The paper concludes with discussions of post-crisis prospects and economic policy matters.
Added: Jun 28, 2012
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Четверик Н. П. Механизация строительства. 2012. № 7. С. 38-39.
Added: Mar 5, 2013
Бирюкова О. В. В кн.: Конкурентоспособность национальных экономик в условиях глобализации мирового хозяйства: факторы, инструменты, модели. Ростов н/Д: СКАГС, 2012. С. 26-33.
Added: Sep 28, 2012
Тихонова А. С., Демешев Б. Б. Количественный анализ в экономике. WP2. Высшая школа экономики, 2014. № 4.
The primary aim of this research is to compare diverse statistical models to predict critical financial statefor Russian private small and medium-sized companies belonging to different sectors of economy. We use the following methods: Linear Discriminant Analysis, Quadratic Discriminant Analysis, Mixture Discriminant Analysis, Logistic Regression, Probit Regression, Tree and Random Forest.Our dataset consists of approximately 1,000,000 observations from the Ruslana database and covers the period from 2011 to 2012. Instead of standard definition of default we use the notion of critical financial state which means that we add companies liquidated as a result of legal bankruptcy to those liquidated voluntary. We study four industries in detail: construction, manufacturing, real estate activities, retail and wholesale trade. Comparing industries, we come up to several compelling conclusions. On the one hand, the difference between sectors is so significant that it cannot be overcome by including several dummy variables but by estimating separate models for each industry. On the other hand, sectors are similar in several ways. Firstly, importance ranking of regressors is stable among sectors that are analysed. This results in unique optimal set of variables chosen out of six possible alternatives. To add, inclusion of non-financial characteristics improves predictive power greatly. While age of a company and federal region are the key non-financial variables, size of a company is less important, and legal form is the weakest predictor. Secondly, Random Forest outperformed other statistical approaches on all data sets. For this method area under ROC-curve (the applied comparison criterion) reaches up to 3⁄4 which is the same for all industries. This research will be of vital importance especially to banks and other credit organisations providing loans to small and medium businesses as well as to state regulators.
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Макарова Л. Г. В кн.: Бухгалтерский финансовый учет. М.: Вузовский учебник , 2010. Гл. 15. С. 470-491.
Added: Jul 4, 2012
Баранов А. Ю. В кн.: Сборник лучших выпускных работ — 2011. М.: Издательский дом НИУ ВШЭ, 2012. С. 50-77.
Added: Oct 3, 2012
Баранов А. Ю., Долгопятова Т. Г. Институциональные проблемы российской экономики. WP1. НИУ ВШЭ, 2013. № WP1/2013/02.
The paper investigates innovation activities of enterprises, and the impact both of intra-firm features and external determinants of business climate on these activities in transitional economies. The main attention is focused on administrative barriers and accompanying corruption burden in the case of innovative fi rms. We use “Business Environment and Enterprise Performance Survey” (BEEPS – joint initiative of the European Bank for Reconstruction and Development and the World Bank) 2009 data base for the analysis. The binary logistic regression was implemented. Analysis revealed correlation between increase of administrative barriers and various types of innovations (product and organizational innovations, and R&D expenditures), and increase of corruption costs for product innovations.
Added: Apr 25, 2013
Гимпельсон В. Е. Проблемы рынка труда. WP3. Высшая школа экономики, 2002. № 01.
Added: Mar 26, 2013
Вишневская Н. Т. Проблемы рынка труда. WP3. Высшая школа экономики, 2005. № 03.
The paper examines the institute of minimum wage in developed and transition economies and in a number of the developing countries. First of all the institutional mechanism of minimum wage fixing is considered. One of the sections explores the dynamics of absolute and relative levels of minimum wage. The special attention is paid to the impact of the institute of minimum wage on the labour market. The author considers the mechanism of transmission of the minimum wage increases on the employment and unemployment dynamics. The paper also contains the result of the empirical research. The experience of many countries witnesses that large increases in minimum wage levels lead to the stagnation of the employ-ment, especially of the disadvantaged groups. The negative effect is larger for the companies with higher share of labour costs and more active use of unqualified labour, that is small businesses and agricultural enterprises. One of the main conclusions is that the minimum wage is not an effective tool of the poverty reduction as the majority of the recipients live in households of average and upper average income.
Added: Oct 13, 2012
Численность и состав российской бюрократии: между советской номенклатурой и госслужбой гражданского общества
Гимпельсон В. Е. Проблемы рынка труда. WP3. Высшая школа экономики, 2002. № 05.
Added: Mar 26, 2013