ECONOMETRIC MODELING OF PANEL DATA COLLECTED BASED ON DRONE TECHNOLOGIES
Abstract
This article covers the development of agriculture in our country, the wide use of digital technologies in agriculture. In particular, the grains grown by the farms specializing in grain production and the factors affecting them were studied. Panel data, multifactor econometric models and their comparative analysis based on data obtained from farm operations using drone technologies are described. The article discusses the features of using panel data. It has been found that panel data can contain three dimensions: temporal, spatial and group information and should be used in econometric modeling. A step-by-step study of different models allows you to compare them with each other and determine the stability of the obtained estimates. The resulting estimates of model parameters can vary significantly depending on the constraints placed on the model. However, the parameters of the regression model may remain important when constructing panel data models. In the process of creating a multi-factor econometric model based on the panel data of Piskent district farms, descriptive statistics on the variables related to it are presented. A scientific proposal and practical recommendations regarding the use of a constant efficient model based on panel data in the study of grain grown by farms specializing in grain production and the factors influencing them are presented. Finally, the obtained results were interpreted, the presence or absence of direct and indirect side effects was concluded.