Subject. The article analyzes the mesodynamics of economic sectors in Russian regions. Objectives. The aim of the study is to undertake quantitative and qualitative monitoring of the components' evolution in twelve basic economic sectors from 2005 to 2017, to describe the regions' homogeneity, stability and balance, and their prospects for investment. Methods. We employ methods of identification, lowess smoothing, and the bootstrap approach to identify models of mesodynamics on 30–50-value samples, without a priori knowledge about the stochastic component distribution law. Results. The findings confirmed the possibility and adequacy of the econophysics paradigm for mesodynamic analysis. We justified and tested methods for general mesodynamic models' identification, using the R programming language. Conclusions. The offered methodology and tools will enable to develop a knowledge base for fundamental laws of mesodynamics. They will also help reveal spatial and temporal features of cyclical development of Russian regions; assess the level of balance and sustainability of regional development in the medium term period; group the regions by their cycle length and define the most promising ones for investment.
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