Current challenges related to the consumer price index (CPI) in Ukraine

Q4 Mathematics Statistics in Transition Pub Date : 2023-02-24 DOI:10.59170/stattrans-2023-007
O. Vasyechko
{"title":"Current challenges related to the consumer price index (CPI) in Ukraine","authors":"O. Vasyechko","doi":"10.59170/stattrans-2023-007","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to contribute to the maintenance and compilation of\n the consumer price index (CPI) in the current extreme situation caused by the Russian\n military aggression against Ukraine. In these extreme conditions, official statistics is\n faced with the task of maintaining the regularity, completeness and quality of the\n production of statistical information, including the CPI, which is one of the key\n economic indicators. The interaction between the ideal and conditional concepts of the\n index and their practical implementation is considered as a potential source of\n compilation improvement. The author argues that the main factor of the modern criticism\n of the CPI is the systematic deviation of the practical form of the index from its\n theoretical foundations. One way to solve this problem is to use new sources of\n information, especially big data cash registers. In today's extreme conditions, cash\n data can extensively address the issue of limited and untimely access to primary data\n sources needed to compile the CPI, as well as promptly take into account the changes in\n consumption patterns caused by significant migratory flows from the dangerous areas, and\n changes in the supply offer due to the rupture of supply chains.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59170/stattrans-2023-007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

The purpose of this study is to contribute to the maintenance and compilation of the consumer price index (CPI) in the current extreme situation caused by the Russian military aggression against Ukraine. In these extreme conditions, official statistics is faced with the task of maintaining the regularity, completeness and quality of the production of statistical information, including the CPI, which is one of the key economic indicators. The interaction between the ideal and conditional concepts of the index and their practical implementation is considered as a potential source of compilation improvement. The author argues that the main factor of the modern criticism of the CPI is the systematic deviation of the practical form of the index from its theoretical foundations. One way to solve this problem is to use new sources of information, especially big data cash registers. In today's extreme conditions, cash data can extensively address the issue of limited and untimely access to primary data sources needed to compile the CPI, as well as promptly take into account the changes in consumption patterns caused by significant migratory flows from the dangerous areas, and changes in the supply offer due to the rupture of supply chains.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
当前的挑战与乌克兰的消费者价格指数(CPI)有关
本研究的目的是在俄罗斯对乌克兰的军事侵略造成的当前极端局势下,为维护和编制消费者价格指数(CPI)做出贡献。在这些极端条件下,官方统计面临着保持统计信息生产的规律性、完整性和质量的任务,包括作为关键经济指标之一的CPI。索引的理想概念和条件概念及其实际实现之间的相互作用被认为是编译改进的潜在来源。笔者认为,现代对CPI的批评主要是CPI的实际形式与其理论基础的系统性偏离。解决这个问题的一种方法是使用新的信息来源,尤其是大数据收银机。在当今的极端条件下,现金数据可以广泛解决编制CPI所需的初级数据来源有限且不及时的问题,并及时考虑到来自危险地区的大量移民流动导致的消费模式变化,以及供应链断裂导致的供应变化。
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 去求助
来源期刊
Statistics in Transition
Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.00
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
期刊最新文献
Estimating the probability of leaving unemployment for older people in Poland using survival models with censored data Does economic freedom promote financial development? Evidence from EU countries Rotation schemes and Chebyshev polynomials A nonparametric analysis of discrete time competing risks data: a comparison of the cause-specific-hazards approach and the vertical approach Comments on „Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day” by Graham Kalton
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1