METHODS OF USING PANEL DATA IN MODELING THE ACTIVITY OF AGRICULTURAL CLUSTERS

Abstract

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.