Achilov Uygunjon Ulug’bekovich,

Scientific researcher of Tashkent Institute of Finance

Tashkent, Uzbekistan. gmail:

ORCID: 0000-0001-6991-5629

Abstract: In this article, econometric modeling is carried out, which evaluates the impact of macroeconomic factors on the changes in the income of the pension fund in Uzbekistan. The article focuses on the problematic aspects of the pension system, the reasons for the increase in pension amounts, and the need to increase and expand the income of Pension Funds. Currently, the relevance of the topic is highlighted through the problems arising in the pension system in the countries of the world. Scientific works of economists related to the field were studied. Generalization, grouping, logical and comparative methods of analysis, comparative analysis, statistics, forward-looking forecasting and grouping methods of scientific methods of studying the processes of economic reality are widely used in the research. The factors influencing the changes in the pension fund’s income have been identified and their statistical indicators have been studied. Based on the studies, a number of theoretical views have been put forward. As factors influencing the size of pension fund income, the number of items in the economy and the base calculation amount were taken in the research. The correlation coefficient indicating the degree of dependence of these two factors on the Pension Fund’s income was calculated using the Pearson and Spearman formulas. Econometric modeling analyzes were performed in the Stata software package. The influence of the factors was evaluated and an appropriate econometric model was built. The statistical significance of the model was assessed by Fisher’s F-test and Student’s t-test. Appropriate inductive analysis of the model was carried out and conclusions were drawn.

Key words: pension, pension fund, social tax, financial stability, voluntary contribution, national economy, gross domestic product, econometric model, pension system, basic calculation amount, people employed in the economy, correlation coefficient.

Leave a Reply

Your email address will not be published. Required fields are marked *