劳动力市场两极分化重现:来自奥地利空缺数据的证据。

IF 1.6 Q2 INDUSTRIAL RELATIONS & LABOR Journal for Labour Market Research Pub Date : 2021-01-01 Epub Date: 2021-03-17 DOI:10.1186/s12651-021-00290-4
Laura S Zilian, Stella S Zilian, Georg Jäger
{"title":"劳动力市场两极分化重现:来自奥地利空缺数据的证据。","authors":"Laura S Zilian,&nbsp;Stella S Zilian,&nbsp;Georg Jäger","doi":"10.1186/s12651-021-00290-4","DOIUrl":null,"url":null,"abstract":"<p><p>Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling.</p>","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":"55 1","pages":"7"},"PeriodicalIF":1.6000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12651-021-00290-4","citationCount":"6","resultStr":"{\"title\":\"Labour market polarisation revisited: evidence from Austrian vacancy data.\",\"authors\":\"Laura S Zilian,&nbsp;Stella S Zilian,&nbsp;Georg Jäger\",\"doi\":\"10.1186/s12651-021-00290-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling.</p>\",\"PeriodicalId\":45469,\"journal\":{\"name\":\"Journal for Labour Market Research\",\"volume\":\"55 1\",\"pages\":\"7\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s12651-021-00290-4\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal for Labour Market Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s12651-021-00290-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/3/17 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"INDUSTRIAL RELATIONS & LABOR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for Labour Market Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12651-021-00290-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/3/17 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
引用次数: 6

摘要

最近的研究表明,新技术是实证观察到的劳动力市场两极分化的重要驱动因素。经济学领域的许多分析都是为了评估低技能、中等技能和高技能职业的就业份额随时间的变化。然而,这种基于职业的方法可能忽视了特定技能和技能包的相关性,这可能被用来解释劳动力市场两极分化的可观察模式。本文以两种方式对文献进行了补充:首先,我们提出了对职位空缺而不是当前就业数据的分析结果,其次,我们使用网络分析工具推导出职业定义技能。分析和工具的使用使我们能够调查2007年至2017年奥地利职位空缺数据的两极分化模式,并确定奥地利职位空缺所需技能的变化。与之前的大多数研究相反,我们没有发现两极分化的证据,而是发现了提高技能的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

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
Labour market polarisation revisited: evidence from Austrian vacancy data.

Recent research suggests that new technologies are important drivers of empirically observed labour market polarisation. Many analyses in the field of economics are conducted to evaluate the changing share of employment in low-skill, medium-skill and high-skill occupations over time. This occupation-based approach, however, may neglect the relevance of specific skills and skill bundles, which potentially can be used to explain the observable patterns of labour market polarisation. This paper adds to the literature in two ways: First, we present the results of an analysis of data on job vacancies rather than the currently employed and, second, we derive occupation-defining skills using network analysis tools. The analysis and tool usage allowed us to investigate polarisation patterns in Austrian vacancy data from 2007 to 2017 and identify changes in the skills demanded in job vacancies in Austria. In contrast to most previous research, we find no evidence for polarisation, but rather a trend towards upskilling.

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
Journal for Labour Market Research
Journal for Labour Market Research INDUSTRIAL RELATIONS & LABOR-
CiteScore
2.60
自引率
5.90%
发文量
17
审稿时长
15 weeks
期刊介绍: The Journal for Labour Market Research is a journal in the interdisciplinary field of labour market research. As of 2016 the Journal publishes Open Access. The journal follows international research standards and strives for international visibility. With its empirical and multidisciplinary orientation, the journal publishes papers in English language concerning the labour market, employment, education / training and careers. Papers dealing with country-specific labour market aspects are suitable if they adopt an innovative approach and address a topic of interest to a wider international audience. The journal is distinct from most others in the field, as it provides a platform for contributions from a broad range of academic disciplines. The editors encourage replication studies, as well as studies based on international comparisons. Accordingly, authors are expected to make their empirical data available to readers who might wish to replicate a published work on request. Submitted papers, who have passed a prescreening process by the editors, are generally reviewed by two peer reviewers, who remain anonymous for the author. In addition to the regular issues, special issues covering selected topics are published at least once a year. As of April 2015 the Journal for Labour Market Research has a "No Revisions" option for submissions (see ‘Instructions for Authors’).
期刊最新文献
Literature review of comparative school-to-work research: how institutional settings shape individual labour market outcomes The COVID-19 pandemic: a threat to higher education? Evidence from a large university in Northern Italy The response of labour demand to different COVID-19 containment measures: evidence from online job postings in Austria Continuing vocational training in times of economic uncertainty: an event-study analysis in real time Income and consumption inequality trends: a comparative analysis between paid employees and the self-employed
×
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