A comprehensive study of regional processes implies a qualitative analysis of indicators over time, which is necessary not only to identify current trends, but also to make forecasts that are used in the development of regional development strategies and programs. In order to study the development of the city of Sevastopol on the basis of statistical data on the state of the economy in the Ukrainian and Russian periods, as well as determine the possibility of their use for making forecasts, it is necessary to solve the issue of homogeneity of the series of economic indicators. The existing criteria for verifying the homogeneity of data are not applicable to the solution of the issue of compatibility of multidimensional series belonging to different time intervals. The article proposes the use of exploratory factor analysis to solve this problem. However, the lack of statistical data leads to a degeneration of the matrix of pairwise correlations of economic indicators. To obtain estimates of the parameters of the factor model, a generalized inverse matrix is used, which is obtained as a result of a matrix iterative procedure. Exploratory factor models for the Ukrainian and Russian periods of Sevastopol have fundamental differences, and the corresponding multidimensional series cannot be combined for a holistic study of economic processes in the region.
The specificities of the research in the economics’ development of Sevastopol
