MODELING AND ASSESSMENT OF INTERRELATIONS IN THE DYNAMICS OF COST INDICATORS IN AGRICULTURE OF THE REGION (BASED ON THE MATERIALS OF THE REPUBLIC OF DAGESTAN FOR 2010–2016)
The aim of the study is to construct the equations of the dynamics series for estimating the trends in the costs in agriculture in the region and analyzing their parameters and characteristics. To achieve this goal, a number of tasks have been solved: initial information support has been formed cost indicators in agriculture of the Republic Dagestan for 2010-2016; different types of equations dynamics series are constructed that characterize the trends of interrelations between costs in agriculture in the region; The model-computer toolkit providing automation of all calculations and procedures of information processing is developed; A set of analytical tables has been created and conclusions have been formulated. Various types of regression equations, constructed for agriculture as a whole, for crop and livestock production, have been tested for acceptability. Based on the analysis of statistical characteristics, it is proved that various types of regression equations are acceptable for identifying, describing and analyzing trends in the dynamics of economic indicators of agriculture and in the dynamics of relationships between them. Identified and evaluated parameters for each pair of indicators and for two-factor relationships in agriculture using various methods. Graphical analysis conducted. The preference is given to the the linear and power-law equations by the economic meaning of their parameters as compared with other types of regression equations. A number of important economic indicators were analyzed, such as marginal effects and elasticity coefficients, determined on the basis of the equations of the pair regression, expressing the dependence of the total costs in the RD agriculture on material costs and on labor costs according to the data for 2010-2016. For two-factor regression equations, a number of additional characteristics have been determined and analyzed, in particular, isoquants and limit norms of interchangeability of indicators-factors.