乌克兰劳动力市场的身份间流动

Yaryna Yuryk
{"title":"乌克兰劳动力市场的身份间流动","authors":"Yaryna Yuryk","doi":"10.15407/econforecast2022.04.054","DOIUrl":null,"url":null,"abstract":"The article studies the functioning of Ukraine's labor market in 2019–2021 through the prism of the status flows of labor force, for which various methodological techniques of analytical research are consistently applied, which, complementing each other, allow analyzing the flows from different angles of view. So, using micro data on labor force indicators and their characteristics, probabilistic matrices of transitions of Ukraine's population between employment, unemployment and economic inactivity are constructed, assuming that such transitions occur according to the Markov process. As a result, the scope, nature and dominant vectors of the movements of Ukrainians between the three main statuses on the labor market are revealed. Based on the algorithms for calculating Shorrock's indices – proxy indices of mobility, the author carries out an integral assessment of the intensity of inter-status movement in Ukraine's labor market. A similar assessment for a number of European countries makes it possible to propose a basis for cross-country comparison of the level of mobility in Ukraine. Using economic-mathematical modeling of multiple choice, the author reveals socio-demographic factors determining the individual's status on Ukraine's labor market, and in so doing also answers the question of stability of the observed status. It is shown that the analysis of inter-status mobility of labor force provides a powerful basis for better understanding of the functioning of the labor market, characterizes the mechanisms of adaptation of the latter and allows observing the direction and intensity of flows behind any specific change in gross employment, unemployment or economic inactivity, which makes relevant policy measures on the labor market more targeted. In particular, since the analyzed period was marked by increased unemployment in Ukraine, the author establishes the role of flows in the above mentioned dynamics and in the distribution of the risk of job loss, taking into account such socio-demographic characteristics of individuals as gender, age and education level. Understanding such connections is important for developing high quality solutions aimed at reducing unemployment in the country.","PeriodicalId":500930,"journal":{"name":"Economy and forecasting","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inter-status mobility in Ukraine’s labor market\",\"authors\":\"Yaryna Yuryk\",\"doi\":\"10.15407/econforecast2022.04.054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article studies the functioning of Ukraine's labor market in 2019–2021 through the prism of the status flows of labor force, for which various methodological techniques of analytical research are consistently applied, which, complementing each other, allow analyzing the flows from different angles of view. So, using micro data on labor force indicators and their characteristics, probabilistic matrices of transitions of Ukraine's population between employment, unemployment and economic inactivity are constructed, assuming that such transitions occur according to the Markov process. As a result, the scope, nature and dominant vectors of the movements of Ukrainians between the three main statuses on the labor market are revealed. Based on the algorithms for calculating Shorrock's indices – proxy indices of mobility, the author carries out an integral assessment of the intensity of inter-status movement in Ukraine's labor market. A similar assessment for a number of European countries makes it possible to propose a basis for cross-country comparison of the level of mobility in Ukraine. Using economic-mathematical modeling of multiple choice, the author reveals socio-demographic factors determining the individual's status on Ukraine's labor market, and in so doing also answers the question of stability of the observed status. It is shown that the analysis of inter-status mobility of labor force provides a powerful basis for better understanding of the functioning of the labor market, characterizes the mechanisms of adaptation of the latter and allows observing the direction and intensity of flows behind any specific change in gross employment, unemployment or economic inactivity, which makes relevant policy measures on the labor market more targeted. In particular, since the analyzed period was marked by increased unemployment in Ukraine, the author establishes the role of flows in the above mentioned dynamics and in the distribution of the risk of job loss, taking into account such socio-demographic characteristics of individuals as gender, age and education level. Understanding such connections is important for developing high quality solutions aimed at reducing unemployment in the country.\",\"PeriodicalId\":500930,\"journal\":{\"name\":\"Economy and forecasting\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economy and forecasting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15407/econforecast2022.04.054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economy and forecasting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15407/econforecast2022.04.054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文通过劳动力状态流动的棱镜研究了2019-2021年乌克兰劳动力市场的运作,其中各种分析研究的方法技术一直被应用,这些方法技术相互补充,可以从不同的角度分析流动。因此,利用劳动力指标及其特征的微观数据,构建乌克兰人口在就业、失业和经济不活跃之间转换的概率矩阵,假设这种转换按照马尔可夫过程发生。从而揭示了乌克兰人在劳动力市场上三种主要地位之间流动的范围、性质和主导向量。基于计算肖洛克指数的算法——流动性的代理指数,作者对乌克兰劳动力市场的身份间流动强度进行了整体评估。对一些欧洲国家进行的类似评估使我们有可能提出一个基础,以便对乌克兰的跨国流动水平进行比较。使用多项选择的经济数学模型,作者揭示了决定个人在乌克兰劳动力市场上地位的社会人口因素,这样做也回答了观察到的地位的稳定性问题。研究表明,对劳动力身份间流动的分析为更好地理解劳动力市场的运作提供了强有力的基础,表征了劳动力市场的适应机制,并可以观察到总就业、失业或经济不活跃的任何具体变化背后的流动方向和强度,从而使劳动力市场的相关政策措施更具针对性。特别是,由于所分析的期间乌克兰的失业率增加,作者确定了流动在上述动态和失业风险分布中的作用,同时考虑到个人的社会人口特征,如性别、年龄和教育水平。了解这种联系对于制定旨在减少该国失业的高质量解决方案非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Inter-status mobility in Ukraine’s labor market
The article studies the functioning of Ukraine's labor market in 2019–2021 through the prism of the status flows of labor force, for which various methodological techniques of analytical research are consistently applied, which, complementing each other, allow analyzing the flows from different angles of view. So, using micro data on labor force indicators and their characteristics, probabilistic matrices of transitions of Ukraine's population between employment, unemployment and economic inactivity are constructed, assuming that such transitions occur according to the Markov process. As a result, the scope, nature and dominant vectors of the movements of Ukrainians between the three main statuses on the labor market are revealed. Based on the algorithms for calculating Shorrock's indices – proxy indices of mobility, the author carries out an integral assessment of the intensity of inter-status movement in Ukraine's labor market. A similar assessment for a number of European countries makes it possible to propose a basis for cross-country comparison of the level of mobility in Ukraine. Using economic-mathematical modeling of multiple choice, the author reveals socio-demographic factors determining the individual's status on Ukraine's labor market, and in so doing also answers the question of stability of the observed status. It is shown that the analysis of inter-status mobility of labor force provides a powerful basis for better understanding of the functioning of the labor market, characterizes the mechanisms of adaptation of the latter and allows observing the direction and intensity of flows behind any specific change in gross employment, unemployment or economic inactivity, which makes relevant policy measures on the labor market more targeted. In particular, since the analyzed period was marked by increased unemployment in Ukraine, the author establishes the role of flows in the above mentioned dynamics and in the distribution of the risk of job loss, taking into account such socio-demographic characteristics of individuals as gender, age and education level. Understanding such connections is important for developing high quality solutions aimed at reducing unemployment in the country.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An assessment of Ukraine’s financial security: sectoral breakdown and general level Post-war economic recovery policy: experience of the Republic of Korea Factors of monetary and credit policy: world and Ukraine in the conditions of military aggression Inter-status mobility in Ukraine’s labor market The state in the post-war industrial recovery and economic renewal: historical parallels and approaches for Ukraine
×
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