COMPARATIVE ANALYSIS OF THE DEVELOPMENT INDICES OF THE REGIONS OF THE RUSSIAN FEDERATION FOR 2024 COMPARED WITH 2023 USING MATHEMATICAL STATISTICS (CLUSTER AND FACTOR ANALYSES)

The past two years (2023 and 2024) have presen ted a huge challenge for our country, as despite the recorded economic growth in 2023, due to a fixed increase in inflation, the country’s monetary policy was changed in order to contain inflation and the so-called cooling of the economy. The relevance of the study is due to the contradictions between the accelerated economic development of the regions and the slowdown in key indicators of the quality of life of the population caused by the credit and economic policy of the state, such as the construction of residential buildings and prices in the primary and secondary housing markets. The scientific novelty of the study is the use of relative rather than absolute indicators of regional economic development for statistical processing using development indices for 2024 compared to 2023. The purpose of the study is to obtain the results of using a comparative analysis of individual regional relative macroeconomic indicators. These results can be the basis for strategic planning of regional policy. The practical significance of the results lies in their further use for structural modeling in order to identify dimensionless indicators of economic development that affect the quality of life of the population. The use of factor analysis made it possible to identify hidden relationships between the studied development indices, namely, two statistically significant factors were identified, the first being related to fixed asset investment indices, price indices in the primary housing market and the real income index of the population, the second to the consumer price index in the primary housing market, the consumer price index and the construction of residential buildings. This approach has never been used in data analysis before. The results obtained in the work can contribute to the development of measures aimed at more equitable and sustainable regional development.

key development index, indicator, confirmatory factor analysis, hierarchical dendrogram, Tucker-Lewis index, remains, statistics, regression, correlation, covariance

Borisova L. R., Kremer N. S., Postovalova G. A., Fridman M. N. Comparative analysis of the development indices of the regions of the Russian Federation for 2024 compared with 2023 using mathematical statistics (cluster and factor analyses). Biznes. Obrazovanie. Pravo = Business. Education. Law. 2025;3(72):101—107. DOI: 10.25683/VOLBI.2025.72.1388.