Influence of individual characteristics of president on the GDP growth
During the presidential elections in Ukraine 2010 voters have given preference to ideological and external characteristics of presidential nominees, but not to their abilities to manage. We propose to use new methodology for the estimation of presidential nominees from economic point for organization of pre-election campaigns and for better orientation of the electorate
This study is aimed to describe the current state of aff airs in teaching econometrics / applied economics in Russian regional universities. It is based on a survey of regional university teachers who were enrolled in training programs of the Yegor Gaidar Foundation in 2017–2019. This survey included questions related to the participants’ teaching experience as well as their own experience in studying econometrics that they had before the program and their research experience. Participants were also asked to formulate what they have learned during the program. The analysis of the answers received confi rms the well-known opinion that regional universities are lagging behind in training and qualifi cation in the fi eld of applied econometrics / economics from leading metropolitan universities, but this lag looks neither crucial nor chronic.
Professional scientific publication Collection of scientific articles and theses According to the results of International Scientific and Practical Congress of Economists and Lawyers.
http://The chapter provides methodological analysis of applied economic knowledge, and its relationships with theoretical knowledge. Stages in the history of these relationships, as well as specific features of applied economics are identified. A survey of international ex5 periences of the application of economic modeling in policy5making is added to exemplify organisational problems in the field of applied economics
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.