Empiric Analysis of Entrepreneurial Action in Contemporary Russia

There is no common scientific definition of entrepreneurship. However all definitions of entrepreneurship can be classified with the view of the risk pole or the innovation pole. The framework presented in this thesis will be explore the entrepreneurship related to the risk pole in a greater degree. These research of self-employed people based on the RLMS database. The main goal of this research is to develop a full empiric analysis of an entrepreneurship activity of self-employed people in Russia since 2006 to 2014. The objectives of these research are to: 1. Reconstruct of the concepts of "entrepreneurship", "entrepreneur", "self-employment". 2. Define and demonstrate the current scientific approaches, methods and results of the study of the phenomenon of self-employment. 3. Define the hypothesis based on the above scientific approaches for further verification on the actual selection of Russian. 4. Conduct an empirical estimation of the study in accordance with the methodology (see below). Methodology: The main working tool for testing binary choice hypotheses is the logistic regression (the complementary log-log regression model) on cross-sections and panel effects (fixed effects model). The Anova model and T-test are used in order to verify the hypotheses of the influence of categorical data on quantitative data. In order to test the hypotheses of the relationship between categorical variables, the Pearson's agreement criterion and mosaic graphs are used. The programming language R is used for data processing (additional packages dplyr, psych, ggplot2, erer, np).