Tsypin  A. P.

The relevance of the topic. The need to track changes in the value of residential real estate and determine the best moment to purchase secondary real estate in Moscow is of particular importance in modern conditions. Goal. Creation of a model to describe the influence of factors on the variation in the value of real estate in the secondary housing market in Moscow. Methodology. Machine learning approaches were used to create the model, and the classical accuracy metric was used to evaluate its performance — the square root of the root-mean-square error between the test sample not participating in the training of the model and the prediction of the model. Results and conclusions. It is advisable to purchase real estate in June, since a sharp increase begins in July after a decline in the previous month. Prices are steadily rising every year, so real estate in Moscow is a good option for investment. Scope of application. The scope of regulation of the housing market at the national and local levels. Research in the field of modeling time series and complex economic systems. Directions for further research: work to improve the accuracy of the model through a functional design approach and the use of additional variables describing the filling of apartments for sale. Also adding adjustments to the model for the local location of the property in Moscow

Relevance of the topic. Small and medium-sized enterprises in the Russian economy occupy one of the leading positions, as they promptly respond to market requests and provide the population with jobs. Accordingly, studying the state and prospects for the development of this sector of the economy is an urgent task. Purpose. Economic and statistical analysis of the situation with the organization of small and medium-sized businesses in Russia and the peculiarities of its conduct. The objectives of the study are: consideration of theoretical and methodological approaches to economic and statistical analysis of small and medium-sized businesses; assessment of structural movements of key indicators; assessment of development prospects in an unstable macroeconomic environment. Methodology. General methods of scientific knowledge as - analysis, synthesis, analogy, comparison, comparison, generalization, classification. Statistical methods were also used, in particular the grouping method, tabular and graphical methods. Results and conclusions. Over the period 2010—2022, the number of small and medium-sized enterprises is increasing, while at the end of 2021 they employed 25 % of all employees of the Russian economy, this indicates the importance of the sector in the Russian economy; despite the covid crisis experienced in 2020—2021. small and medium-sized businesses have increased their turnover, which emphasizes their role in providing the population and business with goods and services. Scope. The sphere of government incentives and support for the small and medium-sized businesses sector. Researchers and scientists in regional and sectoral economics. Directions of further research. Studying the influence of macroeconomic factors on the results of small and medium-sized businesses in Russia.