Faces of Joblessness: Characterising Employment Barriers to Inform Policy

Rodrigo Fernández, Herwig Immervoll, Daniele Pacifico, Céline Thévenot
{"title":"Faces of Joblessness: Characterising Employment Barriers to Inform Policy","authors":"Rodrigo Fernández, Herwig Immervoll, Daniele Pacifico, Céline Thévenot","doi":"10.1787/5JLWVZ47XPTJ-EN","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel method for identifying and visualising key employment obstacles that may prevent individuals from participating fully in the labour market. The approach is intended to complement existing sources of information that governments use when designing and implementing activation and employment-support policies. In particular, it aims to provide individual and household perspectives on employment problems, which may be missed when relying on common labour-force statistics or on administrative data, but which are relevant for targeting and tailoring support programmes and related policy interventions. A first step describes a series of employment-barrier indicators at the micro level, comprising three domains: work-related capabilities, financial incentives and employment opportunities. For each domain, a selected set of concrete employment barriers are quantified using the EU-SILC multi-purpose household survey. In a second step, a statistical clustering method (latent class analysis), is used to establish profiles and patterns of employment barriers among individuals with no or weak labour-market attachment. A detailed illustration for two countries (Estonia and Spain) shows that \"short-hand\" groupings that are often highlighted in the policy debate, such as \"youth\" or \"older workers\", are in fact composed of multiple distinct sub-groups that face very different combinations of employment barriers and likely require different policy approaches. Results also indicate that individuals typically face two or more simultaneous employment obstacles suggesting that addressing one barrier at a time may not have the intended effect on employment levels. From a policy perspective, the results support calls for carefully sequencing activation and employment support measures, and for coordinating them across policy domains and institutions.","PeriodicalId":331900,"journal":{"name":"IZA Institute of Labor Economics Discussion Paper Series","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IZA Institute of Labor Economics Discussion Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1787/5JLWVZ47XPTJ-EN","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

This paper proposes a novel method for identifying and visualising key employment obstacles that may prevent individuals from participating fully in the labour market. The approach is intended to complement existing sources of information that governments use when designing and implementing activation and employment-support policies. In particular, it aims to provide individual and household perspectives on employment problems, which may be missed when relying on common labour-force statistics or on administrative data, but which are relevant for targeting and tailoring support programmes and related policy interventions. A first step describes a series of employment-barrier indicators at the micro level, comprising three domains: work-related capabilities, financial incentives and employment opportunities. For each domain, a selected set of concrete employment barriers are quantified using the EU-SILC multi-purpose household survey. In a second step, a statistical clustering method (latent class analysis), is used to establish profiles and patterns of employment barriers among individuals with no or weak labour-market attachment. A detailed illustration for two countries (Estonia and Spain) shows that "short-hand" groupings that are often highlighted in the policy debate, such as "youth" or "older workers", are in fact composed of multiple distinct sub-groups that face very different combinations of employment barriers and likely require different policy approaches. Results also indicate that individuals typically face two or more simultaneous employment obstacles suggesting that addressing one barrier at a time may not have the intended effect on employment levels. From a policy perspective, the results support calls for carefully sequencing activation and employment support measures, and for coordinating them across policy domains and institutions.
失业的面孔:描述就业障碍,为政策提供依据
本文提出了一种新颖的方法,用于识别和可视化可能阻碍个人充分参与劳动力市场的主要就业障碍。该方法旨在补充政府在设计和实施激活和就业支持政策时所使用的现有信息来源。特别是,该方法旨在提供个人和家庭对就业问题的看法,这些看法在依赖普通劳动力统计数据或行政数据时可能会被忽略,但对于有针对性地制定和调整支持计划和相关政策干预措施却很重要。第一步是描述一系列微观层面的就业障碍指标,包括三个领域:与工作相关的能力、经济激励和就业机会。针对每个领域,利用欧盟-SILC 多用途住户调查对选定的一组具体就业障碍进行量化。第二步,使用统计聚类方法(潜类分析),在没有或仅有较弱劳动力市场依附性的个人中建立就业障碍的概况和模式。对两个国家(爱沙尼亚和西班牙)的详细说明表明,政策辩论中经常强调的 "青年 "或 "老年工人 "等 "简略 "分组,实际上是由多个不同的分组组成的,这些分组面临的就业障碍组合非常不同,可能需要采取不同的政策方法。结果还表明,个人通常同时面临两种或两种以上的就业障碍,这表明一次只解决一种障碍可能不会对就业水平产生预期效果。从政策角度来看,这些结果支持了对激活和就业支持措施进行仔细排序,并在不同政策领域和机构之间进行协调的呼吁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信