The collection contains research papers prepared based on research works of students Natsionalnoogo Research University Higher School of Economics in Nizhny Novgorod, participating in 2013 in the HSE - Nizhny Novgorod for the best research work . Results of the work were presented April 18 2013g.na XI scientific practical conference of students and teachers ' Current issues in economics, management , business informatics , law and social sciences and humanities . "
This research is focused on the system of evaluating students’ scientific and research work written in French for Russian and francophone experts at the Higher School of Economics International scientific conference for graduate and postgraduate students “La France et la Francophonie d’aujourd’hui” in the years 2017 and 2018. The authors analyze the current evaluation system of students’ scientific and research work, assess every criteria and scale. The authors hypothesized the necessity of renewing the evaluation system. Surveys among students and experts about the relevance of the current criteria and necessity of evaluating students’ scientific and research work were carried out to corroborate the hypothesis. Upon the research a renewed evaluation system was proposed, which will be approbated at the Higher School of Economics International scientific conference for graduate and postgraduate students “La France et la Francophonie d’aujourd’hui” 2020. The renewed system includes detailed comments for the experts and higher grades are given to the criteria of a hugher importance, e.g. structure and content, presentation skills, and language fluency and accuracy.
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.