{"title":"当前的挑战与乌克兰的消费者价格指数(CPI)有关","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":"{\"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}","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}
Current challenges related to the consumer price index (CPI) in Ukraine
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.
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.