Econometric modeling is of great importance in ensuring the effective development of agroclusters and assessing their impact on economic processes. This article considers the theoretical and practical aspects of using panel data in analyzing and optimizing the activities of agroclusters. Since panel data takes into account time and territorial factors, it allows studying the short- and long-term dynamics of agroclusters. The article analyzes econometric approaches such as the use of simultaneous systematic models, solving the endogeneity problem using this modeling method, and applying cointegration methods. The research results serve as a scientific and practical basis for ensuring the sustainable development of agrocluster networks, making effective management decisions, and optimizing inter-cluster integration processes.

This study used econometric panel models to examine the influence of water shortage on economic growth in Central Asian countries. To evaluate long-term panel data, we used a pooled regression model, a fixed effect model, and a random effect model on annual data from 1990 to 2023 across five nations. After creating the models, we ran diagnostic tests using several statistical techniques. After analyzing the models listed above, we determined that the Pooled regression model is best suited to our panel data. Based on the indicators of this model, it was discovered that increased water shortage in Central Asian countries had a negative impact on economic growth. Each unit increase in water scarcity causes a 0.0166 unit loss in GDP. The findings suggest that countries experiencing severe water scarcity should prioritize water resource management and establish a water conservation program that includes the construction of infrastructure to alleviate the shortage.

This article examines the impact of agro-industrial integration on the economic efficiency of Uzbekistan’s agricultural sector using econometric methods based on panel data covering 13 regions. The main indices of agro-industrial integration are represented by the shares of farm households, dekhkan and subsidiary farms, and agricultural organizations in the total volume of agricultural output. Panel regression results confirm a positive and statistically significant effect of integration indicators on agricultural output growth rates. The findings suggest that institutional strengthening of agro-industrial integration creates opportunities to enhance agricultural sector efficiency, increase farmers’ incomes, and promote rural employment.

The dynamics of production of products based on panel data for 2010–2024 for 3 regions of the Republic of Uzbekistan are econometrically modeled. The study analyzes time-specific structural changes by region using Two-Way Fixed Effects (FE) and Log Trend Interaction models. According to the results of empirical analysis, it is possible to increase the rate of variation in fishery production by 78.8%. The increased econometric forecasts for 2025–2027 indicate that the sector's production will continue to grow and regional growth dynamics will develop.

This paper analyzes the structure of assets that ensure the stability of commercial banks and the factors affecting them using econometric methods. The main purpose of the study was to study such factors as the quality of banks' assets, liquidity indicators, the structure of the loan portfolio, as well as external economic factors. The results obtained using econometrics methods help commercial banks make important decisions to improve their sustainability. The practical significance of the research lies in the fact that it serves as a methodological basis for the formation of strategies aimed at the development of banking activities.

This article develops an econometric framework to formalize the determinants of consumer behavior and to quantify their effects on purchase decisions and consumption volumes. The analysis systematizes key drivers such as income and income uncertainty, prices and inflation expectations, household socio-demographic characteristics, access to information and digital channels, marketing exposure, and behavioral factors (trust and risk preferences). Methodologically, the study employs discrete-choice models (logit/probit) to estimate purchase probabilities, regression and panel data specifications (fixed/random effects) to model demand intensity, and strategies to mitigate endogeneity (instrumental variables and robustness checks). The proposed formalization supports evidence-based consumer policy design, market monitoring, and evaluation of interventions aimed at improving market transparency and consumer welfare.

The article examines in detail the trends in changes in the industrial sector of our country and the possibilities of increasing its contribution to the gross domestic product. At the same time, 6-year dynamics of 25 types of indicators affecting the growth rate of industrial production were selected as panel data, the values of the parameters were determined for 4 different models, and their economic content was explained

This article analysis the impact of global climate change on agricultural production based on international scientific research. The study explores how factors such as rising temperatures, changes in precipitation patterns, and water scarcity affect crop yields. In particular, it has been proven that shifts in heat and moisture balance directly influence the growth phases and yield levels of major crops such as wheat, cotton, and maize. Empirical studies conducted in various countries using panel regression, ARIMA, and GARCH models demonstrate that climate change significantly and negatively affects agricultural production. This article emphasizes the importance of conducting similar research under the specific climatic and agronomic conditions of Uzbekistan.

In this article, digitization of the payment sector has become a real need of the hour, because life in the digital world imposes various demands on financial processes, which innovative technologies, including distributed ledgers and smart contracts, are designed to meet.