Application of Information Technologies for Solving Economic Problems: In-depth Analysis of Okun’s Law for Azerbaijan

W. Strielkowski, A. Guliyeva, U. Rzayeva, Aynur I. Jabbarova
{"title":"Application of Information Technologies for Solving Economic Problems: In-depth Analysis of Okun’s Law for Azerbaijan","authors":"W. Strielkowski, A. Guliyeva, U. Rzayeva, Aynur I. Jabbarova","doi":"10.1109/AICT55583.2022.10013648","DOIUrl":null,"url":null,"abstract":"This article discusses the advantages of modern computer technologies, as well as their use in assessing the applicability of Okun's law to describe short-term and long-term relationships between macroeconomic indicators. The article presents a computer implementation of research on the relationship between employment, unemployment, and production. We provide a comprehensive overview of the main theoretical approaches to the study of this interdependence and analyze the practical experience of assessing it. With the help of the SPSS software package, based on the generalization of the results of theoretical analysis, a conclusion is made about the most adequate models in modern socio-economic conditions. Furthermore, we test these models based on official statistics. One consequence of Okun's law is that a rise in labor productivity and an increase in the labor force can cause in production growth without reducing employment. Our findings obtained in the course of an in-depth analysis using the statistical data of Azerbaijan and due to the results of using the software product fully confirm this statement.","PeriodicalId":441475,"journal":{"name":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT55583.2022.10013648","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

This article discusses the advantages of modern computer technologies, as well as their use in assessing the applicability of Okun's law to describe short-term and long-term relationships between macroeconomic indicators. The article presents a computer implementation of research on the relationship between employment, unemployment, and production. We provide a comprehensive overview of the main theoretical approaches to the study of this interdependence and analyze the practical experience of assessing it. With the help of the SPSS software package, based on the generalization of the results of theoretical analysis, a conclusion is made about the most adequate models in modern socio-economic conditions. Furthermore, we test these models based on official statistics. One consequence of Okun's law is that a rise in labor productivity and an increase in the labor force can cause in production growth without reducing employment. Our findings obtained in the course of an in-depth analysis using the statistical data of Azerbaijan and due to the results of using the software product fully confirm this statement.
信息技术在解决经济问题中的应用:对阿塞拜疆的奥肯定律的深入分析
本文讨论了现代计算机技术的优势,以及它们在评估奥肯定律在描述宏观经济指标之间的短期和长期关系方面的适用性方面的应用。本文提出了一个研究就业、失业和生产之间关系的计算机实现。我们全面概述了研究这种相互依存关系的主要理论方法,并分析了评估这种相互依存关系的实践经验。借助SPSS软件包,在对理论分析结果进行归纳的基础上,得出了在现代社会经济条件下最合适的模型。此外,我们基于官方统计数据对这些模型进行了检验。奥肯定律的一个结果是,劳动生产率的提高和劳动力的增加可以在不减少就业的情况下导致生产增长。我们在使用阿塞拜疆统计数据进行深入分析的过程中获得的调查结果以及使用软件产品的结果充分证实了这一说法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信