Year of Graduation
Modelling the Dynamics of Income Distribution in Russia
Economics and Statistics
In this paper, we use the parametric and nonparametric approaches to estimate the income distribution over Russian households. The underlying function for parametric estimation is four parameter generalized beta of the second kind, assessment of which is conducted via maximum pseudo-likelihood method using quarter household budget survey datasets from 2003 to 2015. We consider the evolution of kernel density estimates is considered along with the analysis of dynamics of estimated distributional parameters. The results of the research provide confirmatory evidence for the suggestion that generalized beta distribution of the second kind is a powerful tool for precise distributional analysis of income.