Subject. The article deals with econometric analysis of retail turnover in Russia and its relationship with macroeconomic indicators, like real disposable household income, consumer prices, etc.
Objectives. The purpose is to create effective models to analyze the retail turnover in Russia and its relationship with other macroeconomic indicators, taking into account the existence of periods of economic instability.
Methods. I apply correlation and regression methods to analyze statistics. To quantify changes in the retail turnover of Russia during the periods of economic instability, I use dummy variables.
Results. The Russia’s retail trade turnover index had a reverse and moderate relationship with the consumer price index, direct and strong relationship with the indices of real disposable household income and imports, direct relationship with the manufacturing index. I offer statistically significant regression models of Russia’s retail turnover with the said macroeconomic indicators.
Conclusions. The main advantage of models of retail turnover that are built using a large number of observations is a greater number of simultaneously considered factors. The quantitative assessment of retail turnover elasticity by consumer prices confirms the need for inflation targeting by the Central Bank of the Russian Federation. The higher elasticity of retail turnover in manufacturing as compared with the imports denotes the importance of import substitution policy.
