Post-graduate student in the direction of training 38.06.01 Economics, Saint- Petersburg State University of Economics 

The article analyzes wages in the Russian Federation using a multilevel approach. Wages are the central category of economic science and the determining component of the standard of living of the population, which reflects the relevance of its statistical study. The purpose of the article is to comprehensively analyze wages using panel data models and multi-level models. The main methods are hedonic indexes, panel data analysis and multilevel modeling. In order to assess the changes in the wages of an employee, taking into account its qualitative characteristics (gender, socio-professional group, type of economic activity, type of settlement, territorial affiliation), hedonic regression equations were constructed and hedonic indices for 2016 were calculated with respect to 2014. Statistically significant factors influencing wages have been determined through the analysis of panel data for 2014, 2015 and 2016. The analysis of wages is possible with the allocation of individual levels, which makes it possible to achieve the construction of hierarchical multi-level models. Based on the results of calculations, significant factors are identified, as well as possible levels for constructing multilevel models.

Keywords: wage, hedonic index, mincerian type equation, panel data analysis, multilevel models.

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