Ismikhаnov Z.N.Dagestan State University (DSU), Makhachkala, Republic of Dagestan, Russian Federation Zaur_7979@mail.ru ORCID id: not available
Subject. This article evaluates the quantitative relationships between agricultural development indicators based on identifiable econometric models. Objectives. The article aims to build identifiable structural econometric models of the relationships of key indicators of agricultural development in Russian regions in present-day conditions. Methods. For the study, I used econometric modeling and mathematical statistics techniques, and computer application programs. Results. The article substantiates the relevance of quantifying the relationship between key agricultural development indicators in Russian regions on the basis of identifiable econometric models, identifies major quantitative dependences, and presents statistically significant identifiable structural models of the relationship of agricultural development indicators. Conclusions. In today's environment, the possibilities for objective quantification of the relationship between agricultural development indicators are associated with the use of formalized quantitative methods. The statistical properties of identifiable structural models get improved as the number of observations increases. The best statistical properties are those obtained for the regions of the Southern Federal District.
Keywords: model identification, structural model, criterion, quantitative assessment, statistical significance
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