意大利培训参与背后的因素

G. Croce, M. Tancioni
{"title":"意大利培训参与背后的因素","authors":"G. Croce, M. Tancioni","doi":"10.2139/ssrn.1360408","DOIUrl":null,"url":null,"abstract":"This paper analyses the pattern of training participation in Italy. Employing a new survey conducted on a large sample of individuals, we develop a model of bilateral training choices. In order to distinguish between workers and employers choices, we estimate a structural bivariate probit model whose identification relies on some mild assumptions on sample selection. With this approach we attempt to overcome the informative limitations of training participation probability estimates referred to reduced form models. The training participation probability depends on individual, job-specific and firm’s characteristics. Among the most relevant results, we find that females demand as much training as males and suffer from poorer chances of firm-provided training. Similarly, employees with a temporary contract are rationed even if their demand is in line with that of their permanent colleagues. Conversely, the lower participation of parttimers is explained by lower demand. A stance for more targeted training public policies is derived.","PeriodicalId":297036,"journal":{"name":"ERN: Employment & Job Training Policy (Sub-Topic)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Disentangling Factors behind Training Participation in Italy\",\"authors\":\"G. Croce, M. Tancioni\",\"doi\":\"10.2139/ssrn.1360408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyses the pattern of training participation in Italy. Employing a new survey conducted on a large sample of individuals, we develop a model of bilateral training choices. In order to distinguish between workers and employers choices, we estimate a structural bivariate probit model whose identification relies on some mild assumptions on sample selection. With this approach we attempt to overcome the informative limitations of training participation probability estimates referred to reduced form models. The training participation probability depends on individual, job-specific and firm’s characteristics. Among the most relevant results, we find that females demand as much training as males and suffer from poorer chances of firm-provided training. Similarly, employees with a temporary contract are rationed even if their demand is in line with that of their permanent colleagues. Conversely, the lower participation of parttimers is explained by lower demand. A stance for more targeted training public policies is derived.\",\"PeriodicalId\":297036,\"journal\":{\"name\":\"ERN: Employment & Job Training Policy (Sub-Topic)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Employment & Job Training Policy (Sub-Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1360408\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Employment & Job Training Policy (Sub-Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1360408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

本文分析了意大利的培训参与模式。通过对大量个人样本进行的一项新调查,我们开发了一个双边培训选择模型。为了区分工人和雇主的选择,我们估计了一个结构双变量概率模型,其识别依赖于对样本选择的一些温和假设。通过这种方法,我们试图克服训练参与概率估计参考简化形式模型的信息限制。参与培训的概率取决于个人、岗位和企业的特点。在最相关的结果中,我们发现女性需要和男性一样多的培训,并且获得公司提供的培训的机会更少。同样,拥有临时合同的员工,即使他们的需求与正式员工的需求一致,也会得到定量配给。相反,兼职人员较低的参与率可以用较低的需求来解释。提出了更有针对性的培训公共政策的立场。
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
Disentangling Factors behind Training Participation in Italy
This paper analyses the pattern of training participation in Italy. Employing a new survey conducted on a large sample of individuals, we develop a model of bilateral training choices. In order to distinguish between workers and employers choices, we estimate a structural bivariate probit model whose identification relies on some mild assumptions on sample selection. With this approach we attempt to overcome the informative limitations of training participation probability estimates referred to reduced form models. The training participation probability depends on individual, job-specific and firm’s characteristics. Among the most relevant results, we find that females demand as much training as males and suffer from poorer chances of firm-provided training. Similarly, employees with a temporary contract are rationed even if their demand is in line with that of their permanent colleagues. Conversely, the lower participation of parttimers is explained by lower demand. A stance for more targeted training public policies is derived.
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
Immigration and the Fear of Unemployment: Evidence From Individual Perceptions in Italy The Effects of Job Characteristics on Work Engagement in the Retail Sector Jharkhand, India Language Roulette – The Effect of Random Placement on Refugees' Labour Market Integration The Welfare Effects of Attracting Foreign Direct Investment in the Presence of Unemployment Making Summer Matter: The Impact of Youth Employment on Academic Performance
×
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