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Journal for Labour Market Research最新文献

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Who and how many can work from home? Evidence from task descriptions. 谁以及有多少人可以在家工作？来自任务描述的证据。
IF 1.7
Journal for Labour Market Research Pub Date : 2021-01-01 Epub Date: 2021-02-28 DOI: 10.1186/s12651-021-00287-z
Henning Holgersen, Zhiyang Jia, Simen Svenkerud
{"title":"Who and how many can work from home? Evidence from task descriptions.","authors":"Henning Holgersen, Zhiyang Jia, Simen Svenkerud","doi":"10.1186/s12651-021-00287-z","DOIUrl":"10.1186/s12651-021-00287-z","url":null,"abstract":"<p><p>The Covid-19 crisis has forced great societal changes, including forcing many to work from home (WFH) in an effort to limit the spread of the disease. The ability to work from home has long been considered a perk, but we have few estimates of how many jobs are actually possible to be performed from home. This paper proposes a method to estimate the share of these jobs. For each occupation, we obtain a WFH friendly measure by asking respondents from Amazon Mechanical Turk (MTurk) to evaluate whether the corresponding tasks can be performed from home based on the descriptions from the International Standard Classification of Occupations 2008 (ISCO-08) standard. The share of WFH friendly jobs in an economy can then be estimated by combining these measures with the labor statistics on occupational employments. Using Norway as an illustrating example, we find that approximately 38% of Norwegian jobs can be performed from home. The Norwegian results also suggest that the pandemic and the government's attempts to mitigate this crisis may have a quite uneven impact on the working population. Those who are already disadvantaged are often less likely to have jobs that can be performed from home.</p>","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917536/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25447483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatial matching on the urban labor market: estimates with unique micro data. 城市劳动力市场的空间匹配:基于独特微观数据的估计。
IF 1.7
Journal for Labour Market Research Pub Date : 2021-01-01 Epub Date: 2021-04-06 DOI: 10.1186/s12651-021-00293-1
Marcin Wozniak
{"title":"Spatial matching on the urban labor market: estimates with unique micro data.","authors":"Marcin Wozniak","doi":"10.1186/s12651-021-00293-1","DOIUrl":"https://doi.org/10.1186/s12651-021-00293-1","url":null,"abstract":"<p><p>In the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may provide different findings than regular panel models regarding returns to scale in matching technology. Moreover, we have identified global spillover effects as well as other factors that impact the job-worker matching. We underline the role of data on job vacancies: the data retrieved from commercial job portals produced much more reliable estimates than underestimated registered data.</p>","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12651-021-00293-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25580443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Labour market polarisation revisited: evidence from Austrian vacancy data. 劳动力市场两极分化重现:来自奥地利空缺数据的证据。
IF 1.7
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":"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":"https://doi.org/10.1186/s12651-021-00290-4","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":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12651-021-00290-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25571171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Development of a new COVID-19 panel survey: the IAB high-frequency online personal panel (HOPP). 制定新的COVID-19小组调查:IAB高频在线个人小组(HOPP)。
IF 1.7
Journal for Labour Market Research Pub Date : 2021-01-01 Epub Date: 2021-06-23 DOI: 10.1186/s12651-021-00295-z
Georg-Christoph Haas, Bettina Müller, Christopher Osiander, Julia Schmidtke, Annette Trahms, Marieke Volkert, Stefan Zins
{"title":"Development of a new COVID-19 panel survey: the IAB high-frequency online personal panel (HOPP).","authors":"Georg-Christoph Haas,&nbsp;Bettina Müller,&nbsp;Christopher Osiander,&nbsp;Julia Schmidtke,&nbsp;Annette Trahms,&nbsp;Marieke Volkert,&nbsp;Stefan Zins","doi":"10.1186/s12651-021-00295-z","DOIUrl":"https://doi.org/10.1186/s12651-021-00295-z","url":null,"abstract":"<p><p>Since January 2020, the COVID-19 crisis has affected everyday life around the world, and rigorous government lockdown restrictions have been implemented to prevent the further spread of the pandemic. The consequences of the corona crisis and the associated lockdown policies for public health, social life, and the economy are vast. In view of the rapidly changing situation during this crisis, policymakers require timely data and research results that allow for informed decisions. Addressing the requirement for adequate databases to assess people's  life and work situations during the pandemic, the Institute for Employment Research (IAB) developed the High-frequency Online Personal Panel (HOPP). The HOPP study started in May 2020 and is based on a random sample of individuals drawn from the administrative data of the Federal Employment Agency in Germany, containing information on all labour market participants except civil servants and self-employed. The main goal of the HOPP study is to assess the short-term as well as long-term changes in people's social life and working situation in Germany due to the corona pandemic. To assess individual dynamics the HOPP collected data on a monthly (wave  one to four) and bi-monthly (wave five to seven) basis. Furthermore, respondents were divided into four groups. The different groups of a new wave were invited to the survey at weekly intervals (wave two to four) or bi-weekly intervals (wave five to seven). This gives us the advantage of being able to provide weekly data while each participant only had to participate on a monthly or bi-monthly basis. In this article, we delineate the HOPP study in terms of its main goals and features, topics, and survey design. Furthermore, we provide a summary of results derived from HOPP and the future prospects of the study.</p>","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12651-021-00295-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39115366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Cyclicality of labour market search: a new big data approach. 劳动力市场搜索的周期性:一种新的大数据方法。
IF 1.7
Journal for Labour Market Research Pub Date : 2021-01-01 Epub Date: 2021-01-23 DOI: 10.1186/s12651-020-00283-9
Christian Hutter
{"title":"Cyclicality of labour market search: a new big data approach.","authors":"Christian Hutter","doi":"10.1186/s12651-020-00283-9","DOIUrl":"https://doi.org/10.1186/s12651-020-00283-9","url":null,"abstract":"<p><p>This paper exploits big data on online activity from the job exchange of the German Federal Employment Agency and its internal placement-software to generate measures for search activity of employers and job seekers and-as a novel feature-for placement activity of employment agencies. In addition, the average search perimeter in the job seekers' search profiles can be measured. The data are used to estimate the behaviour of the search and placement activities during the business and labour market cycle and their seasonal patterns. The results show that the search activities of firms and employment agencies are procyclical. By contrast, job seekers' search intensity shows a countercyclical pattern, at least before the COVID-19 crisis.</p>","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12651-020-00283-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25316958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Gender wage gap in China: a large meta-analysis 中国性别工资差距:一项大型元分析
IF 1.7
Journal for Labour Market Research Pub Date : 2020-12-01 DOI: 10.1186/s12651-020-00279-5
I. Iwasaki, Xinxin Ma
{"title":"Gender wage gap in China: a large meta-analysis","authors":"I. Iwasaki, Xinxin Ma","doi":"10.1186/s12651-020-00279-5","DOIUrl":"https://doi.org/10.1186/s12651-020-00279-5","url":null,"abstract":"","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75622544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Labour mobility as an adjustment mechanism to asymmetric shocks in Europe: evidence from the Czech Republic, Hungary, Poland and Slovakia 劳动力流动作为应对欧洲不对称冲击的调节机制:来自捷克共和国、匈牙利、波兰和斯洛伐克的证据
IF 1.7
Journal for Labour Market Research Pub Date : 2020-11-19 DOI: 10.1186/s12651-020-00282-w
Dennis Nchor
{"title":"Labour mobility as an adjustment mechanism to asymmetric shocks in Europe: evidence from the Czech Republic, Hungary, Poland and Slovakia","authors":"Dennis Nchor","doi":"10.1186/s12651-020-00282-w","DOIUrl":"https://doi.org/10.1186/s12651-020-00282-w","url":null,"abstract":"","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77428613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Do ethnicity and sex of employers affect applicants’ job interest? An experimental exploration 雇主的种族和性别会影响求职者的工作兴趣吗?实验性探索
IF 1.7
Journal for Labour Market Research Pub Date : 2020-10-29 DOI: 10.1186/s12651-020-00281-x
Mark Granberg, N. Ottosson, Ali M. Ahmed
{"title":"Do ethnicity and sex of employers affect applicants’ job interest? An experimental exploration","authors":"Mark Granberg, N. Ottosson, Ali M. Ahmed","doi":"10.1186/s12651-020-00281-x","DOIUrl":"https://doi.org/10.1186/s12651-020-00281-x","url":null,"abstract":"","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78792781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New administrative data on welfare dynamics in Germany: the Sample of Integrated Welfare Benefit Biographies (SIG) 德国福利动态的新行政数据:综合福利传记(SIG)样本
IF 1.7
Journal for Labour Market Research Pub Date : 2020-10-28 DOI: 10.1186/s12651-020-00280-y
Kerstin Bruckmeier, S. Dummert, P. Grunau, Katrin Hohmeyer, Torsten Lietzmann
{"title":"New administrative data on welfare dynamics in Germany: the Sample of Integrated Welfare Benefit Biographies (SIG)","authors":"Kerstin Bruckmeier, S. Dummert, P. Grunau, Katrin Hohmeyer, Torsten Lietzmann","doi":"10.1186/s12651-020-00280-y","DOIUrl":"https://doi.org/10.1186/s12651-020-00280-y","url":null,"abstract":"","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77661835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
The IAB Job Vacancy Survey: design and research potential IAB职位空缺调查:设计和研究潜力
IF 1.7
Journal for Labour Market Research Pub Date : 2020-10-13 DOI: 10.1186/s12651-020-00278-6
Mario Bossler, Nicole Gürtzgen, Alexander Kubis, Benjamin Küfner, B. Lochner
{"title":"The IAB Job Vacancy Survey: design and research potential","authors":"Mario Bossler, Nicole Gürtzgen, Alexander Kubis, Benjamin Küfner, B. Lochner","doi":"10.1186/s12651-020-00278-6","DOIUrl":"https://doi.org/10.1186/s12651-020-00278-6","url":null,"abstract":"","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12651-020-00278-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72441971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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