BSU bulletin. Economy and Management
Bibliographic description:
, , , ECONOMETRIC MODELING OF PEASANT (FARM) PRODUCTION // BSU bulletin. Economy and Management. - 2023. №2. . - С. 152-166.
Title:
ECONOMETRIC MODELING OF PEASANT (FARM) PRODUCTION
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Annotation:
The article shows that econometric methods are effective in describing and fore- casting real economic data. We have built various forecasting models: linear regressions, a linear paired regression model (for analyzing data relationships), exponential smoothing and mixed models, and neural network models. The results of their modeling testify to the indi- vidual advantages and disadvantages of each type of model. For the study, we have used the software product MS Excel. The results obtained indicate a further increase in the produc- tion of peasant farms. The models presented in the article are informative, widely applicable and universal, and can later be used to model various socio-economic data. In practice, it is advisable to use the results obtained when planning effective strategies for the development of agriculture, and they may be a guide for econometricians who want to study various approaches to econometric modeling using efficient tools.
Keywords:
econometric modeling, peasant (farm) economy, neural network.
List of references:
Article.pdf