印度劳动力市场动态和劳动力流动:新冠肺炎的影响。

IF 1 Q3 ECONOMICS
Partha Chatterjee, Aakash Dev
{"title":"印度劳动力市场动态和劳动力流动:新冠肺炎的影响。","authors":"Partha Chatterjee,&nbsp;Aakash Dev","doi":"10.1007/s41027-022-00420-7","DOIUrl":null,"url":null,"abstract":"<p><p>Tracking and analyzing the labour market dynamics at regular, frequent intervals is critical. However, this was not possible for India, a large emerging economy with a significant population undergoing demographic transition, due to a paucity of data. We use the new dataset Centre for Monitoring Indian Economy (CMIE)-Consumer Pyramids Household Survey (CPHS) and use a panel to create Labour Flow Charts and Transition Matrices for India from January 2019 to December 2021. To the best of our knowledge, this is the first time these were created for India. We then use that to look at the impact of Covid-19 on the Indian labour market. We not only look at transitions between employment, unemployment and out of labour force, but also across types of employment-full-time and part-time. The rich data also allows us to consider heterogeneity in the labour market and look at the differential impact of the pandemic across different education groups and gender. From the labour flow charts and transition probabilities, we find that while all groups have been impacted, the magnitude of the impact is different across groups. The recovery is also uneven, and the extent depends on education levels. Further, we do an event study analysis to examine the likelihood of getting a full-time job across different educational and gender groups. Men, on average, enjoy a higher likelihood of getting a full-time job than women. The likelihood coefficients also go up with increasing educational qualifications. Looking at skill heterogeneity, while the likelihood of getting a full-time job either goes down for most groups during the pandemic or the change is minuscule, strikingly it goes up for those with no education, for both men and women. The likelihood coefficients remain elevated for men even after the restrictions are removed, and that for women reverts to the level seen before the pandemic. Finally, this paper provides a way to continuously monitor the dynamics of the labour market as data is released in the regular intervals in the future, which would be of great value for researchers and policymakers alike.</p>","PeriodicalId":34915,"journal":{"name":"Indian Journal of Labour Economics","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862225/pdf/","citationCount":"0","resultStr":"{\"title\":\"Labour Market Dynamics and Worker Flows in India: Impact of Covid-19.\",\"authors\":\"Partha Chatterjee,&nbsp;Aakash Dev\",\"doi\":\"10.1007/s41027-022-00420-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Tracking and analyzing the labour market dynamics at regular, frequent intervals is critical. However, this was not possible for India, a large emerging economy with a significant population undergoing demographic transition, due to a paucity of data. We use the new dataset Centre for Monitoring Indian Economy (CMIE)-Consumer Pyramids Household Survey (CPHS) and use a panel to create Labour Flow Charts and Transition Matrices for India from January 2019 to December 2021. To the best of our knowledge, this is the first time these were created for India. We then use that to look at the impact of Covid-19 on the Indian labour market. We not only look at transitions between employment, unemployment and out of labour force, but also across types of employment-full-time and part-time. The rich data also allows us to consider heterogeneity in the labour market and look at the differential impact of the pandemic across different education groups and gender. From the labour flow charts and transition probabilities, we find that while all groups have been impacted, the magnitude of the impact is different across groups. The recovery is also uneven, and the extent depends on education levels. Further, we do an event study analysis to examine the likelihood of getting a full-time job across different educational and gender groups. Men, on average, enjoy a higher likelihood of getting a full-time job than women. The likelihood coefficients also go up with increasing educational qualifications. Looking at skill heterogeneity, while the likelihood of getting a full-time job either goes down for most groups during the pandemic or the change is minuscule, strikingly it goes up for those with no education, for both men and women. The likelihood coefficients remain elevated for men even after the restrictions are removed, and that for women reverts to the level seen before the pandemic. Finally, this paper provides a way to continuously monitor the dynamics of the labour market as data is released in the regular intervals in the future, which would be of great value for researchers and policymakers alike.</p>\",\"PeriodicalId\":34915,\"journal\":{\"name\":\"Indian Journal of Labour Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862225/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Labour Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s41027-022-00420-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Labour Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41027-022-00420-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

定期、频繁地跟踪和分析劳动力市场动态至关重要。然而,由于缺乏数据,这对于印度这个拥有大量人口正在经历人口转型的大型新兴经济体来说是不可能的。我们使用新的数据集印度经济监测中心(CMIE)-消费者金字塔家庭调查(CPHS),并使用面板创建2019年1月至2021年12月印度的劳动力流程图和过渡矩阵。据我们所知,这是第一次为印度创造这些。然后,我们用它来研究Covid-19对印度劳动力市场的影响。我们不仅研究了就业、失业和失业人口之间的转变,还研究了不同类型的就业——全职和兼职。丰富的数据还使我们能够考虑劳动力市场的异质性,并研究疫情对不同教育群体和性别的不同影响。从劳动力流动图表和转移概率来看,我们发现虽然所有群体都受到了影响,但影响的程度在群体之间是不同的。复苏也是不平衡的,复苏的程度取决于教育水平。此外,我们做了一个事件研究分析,以检验不同教育程度和性别群体获得全职工作的可能性。平均而言,男性比女性更有可能找到全职工作。可能性系数也随着教育程度的提高而上升。从技能异质性来看,在疫情期间,大多数群体获得全职工作的可能性要么下降,要么变化微乎其微,但在没有受过教育的人群中,无论是男性还是女性,获得全职工作的可能性都显著上升。即使在取消限制之后,男性的可能性系数仍然很高,而女性的可能性系数则恢复到大流行前的水平。最后,本文提供了一种持续监测劳动力市场动态的方法,因为数据在未来定期发布,这对研究人员和政策制定者都有很大的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Labour Market Dynamics and Worker Flows in India: Impact of Covid-19.

Labour Market Dynamics and Worker Flows in India: Impact of Covid-19.

Labour Market Dynamics and Worker Flows in India: Impact of Covid-19.

Labour Market Dynamics and Worker Flows in India: Impact of Covid-19.

Tracking and analyzing the labour market dynamics at regular, frequent intervals is critical. However, this was not possible for India, a large emerging economy with a significant population undergoing demographic transition, due to a paucity of data. We use the new dataset Centre for Monitoring Indian Economy (CMIE)-Consumer Pyramids Household Survey (CPHS) and use a panel to create Labour Flow Charts and Transition Matrices for India from January 2019 to December 2021. To the best of our knowledge, this is the first time these were created for India. We then use that to look at the impact of Covid-19 on the Indian labour market. We not only look at transitions between employment, unemployment and out of labour force, but also across types of employment-full-time and part-time. The rich data also allows us to consider heterogeneity in the labour market and look at the differential impact of the pandemic across different education groups and gender. From the labour flow charts and transition probabilities, we find that while all groups have been impacted, the magnitude of the impact is different across groups. The recovery is also uneven, and the extent depends on education levels. Further, we do an event study analysis to examine the likelihood of getting a full-time job across different educational and gender groups. Men, on average, enjoy a higher likelihood of getting a full-time job than women. The likelihood coefficients also go up with increasing educational qualifications. Looking at skill heterogeneity, while the likelihood of getting a full-time job either goes down for most groups during the pandemic or the change is minuscule, strikingly it goes up for those with no education, for both men and women. The likelihood coefficients remain elevated for men even after the restrictions are removed, and that for women reverts to the level seen before the pandemic. Finally, this paper provides a way to continuously monitor the dynamics of the labour market as data is released in the regular intervals in the future, which would be of great value for researchers and policymakers alike.

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
Indian Journal of Labour Economics
Indian Journal of Labour Economics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
3.20
自引率
6.70%
发文量
48
期刊介绍: Indian Journal of Labour Economics (IJLE) is one of the few prominent Journals of its kind from South Asia. It provides eminent economists and academicians an exclusive forum for an analysis and understanding of issues pertaining to labour economics, industrial relations including supply and demand of labour services, personnel economics, distribution of income, unions and collective bargaining, applied and policy issues in labour economics, and labour markets and demographics. The journal includes peer reviewed articles, research notes, sections on promising new theoretical developments, comparative labour market policies or subjects that have the attention of labour economists and labour market students in general, particularly in the context of India and other developing countries.
×
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