{"title":"Prospects for improving the forecasting of the gross domestic product of regions based on mathematical models","authors":"Z. Gaibnazarova","doi":"10.1109/ITNT57377.2023.10139074","DOIUrl":null,"url":null,"abstract":"Methods for choosing the prospects for improving the forecasting of the gross domestic product of regions based on mathematical models are considered. Econometric models are used in forecasting the gross domestic product of the regions. These methods will help to identify the factors influencing the improvement of the gross domestic product of the regions, and to assess their impact. In addition, when analyzing the gross domestic product of the regions, the degree of interrelationships of influencing factors was calculated using the statistical grouping method. At the same time, methods of economic and mathematical modeling and multivariate econometric analysis were used. Several econometric models have been developed to predict economic indicators using data that fully reflect the dynamics of the prospects for improving the production of the gross domestic product of the regions. For these purposes, we have analyzed the development of forecasting the regional economic system using econometric models. The interrelation of factors influencing the productivity of the gross domestic product of the regions has been studied.","PeriodicalId":296438,"journal":{"name":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IX International Conference on Information Technology and Nanotechnology (ITNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNT57377.2023.10139074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Methods for choosing the prospects for improving the forecasting of the gross domestic product of regions based on mathematical models are considered. Econometric models are used in forecasting the gross domestic product of the regions. These methods will help to identify the factors influencing the improvement of the gross domestic product of the regions, and to assess their impact. In addition, when analyzing the gross domestic product of the regions, the degree of interrelationships of influencing factors was calculated using the statistical grouping method. At the same time, methods of economic and mathematical modeling and multivariate econometric analysis were used. Several econometric models have been developed to predict economic indicators using data that fully reflect the dynamics of the prospects for improving the production of the gross domestic product of the regions. For these purposes, we have analyzed the development of forecasting the regional economic system using econometric models. The interrelation of factors influencing the productivity of the gross domestic product of the regions has been studied.