The article examines the issues of modeling the impact of property taxation on macroeconomic indicators. The characteristics of property tax modeling, methods for assessing tax potential, and their advantages and disadvantages have been analyzed. Foreign experience in examining the role of property taxes has been studied, and approaches divided into three groups have been systematized. Based on the results of research on the impact of property tax on macroeconomic indicators, proposals and recommendations have been developed.
In this article, the concepts of developing econometric skills in students using the Case-study method. Econometric skills, particularly the use of the case study method in the analysis of correlation and regression equations, are presented as a method for developing econometric skills in students. Also in this article, the author focused on the selection of statistical data and determining the relationship between them.
Purpose: This study aims to investigate the intricate relationship between the volume of exports (Y) and freight turnover on railways (X) through a paired linear regression model. The purpose is to discern the quantitative impact of railway freight turnover on a nation's export volumes and offer insights for policymakers and stakeholders in the transportation and trade sectors. Design/Methodology/Approach: A quantitative research design is employed, utilizing historical data spanning from 2000 to 2022. The chosen methodology involves the estimation of a paired linear regression model using the method of least squares. Statistical significance is tested through the coefficient of determination, Fisher's F-test, and an examination of heteroskedasticity. Elasticity analysis, rank correlation, and graphical assessments of residuals provide a comprehensive understanding of the relationship. Findings: The research reveals a strong and statistically significant positive correlation (r = 0.92) between export volumes and railway freight turnover. The regression model, validated through multiple tests, explains 84.72% of the variability in export volumes. Economic interpretation indicates that a one-unit increase in railway freight turnover leads to a substantial average increase of 1627720.728 units in export volumes. The absence of heteroskedasticity reinforces the robustness of the model.
In this article, in an econometric analysis of household income and demand for consumer goods, energy consumption per capita is assessed, the problems of ensuring energy savings are studied, the processes for eliminating them, as well as the efficient use of electrical energy resources have been studied. To assess the electricity consumption of the Republic of Uzbekistan, energy consumption in industries and sectors of the economy was compared and analyzed, and using elasticity coefficients it was studied how much electricity consumption will increase the income of the population by 1%.