Dynamic Returns to Schooling by Work Experience

G. Marconi
{"title":"Dynamic Returns to Schooling by Work Experience","authors":"G. Marconi","doi":"10.2139/ssrn.3217146","DOIUrl":null,"url":null,"abstract":"This paper investigates the effect of education on the rate of growth of a worker’s salary for workers with different levels of work experience. Two alternative models of the earnings curve are presented, the Mincer model and a model with wage premia that change over the course of a workers’ career. Then, I derive analytically the coefficients that would be obtained by estimating these two models with a dynamic panel data model in which earnings are a function of schooling and past earnings. Finally, I estimate these coefficients empirically using data from the German Socio-Economic Panel. The results indicate that the coefficients for schooling and lagged wage in a dynamic panel data model of the earnings curve display substantial variation by work experience, which seems more consistent with the dynamic wage premium model than with the Mincer model.","PeriodicalId":102043,"journal":{"name":"ERN: Human Capital (Topic)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Human Capital (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3217146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates the effect of education on the rate of growth of a worker’s salary for workers with different levels of work experience. Two alternative models of the earnings curve are presented, the Mincer model and a model with wage premia that change over the course of a workers’ career. Then, I derive analytically the coefficients that would be obtained by estimating these two models with a dynamic panel data model in which earnings are a function of schooling and past earnings. Finally, I estimate these coefficients empirically using data from the German Socio-Economic Panel. The results indicate that the coefficients for schooling and lagged wage in a dynamic panel data model of the earnings curve display substantial variation by work experience, which seems more consistent with the dynamic wage premium model than with the Mincer model.
工作经验给学校带来的动态回报
本文研究了教育对不同工作经验水平工人工资增长率的影响。提出了收入曲线的两种可选模型,Mincer模型和工资溢价随工人职业生涯变化的模型。然后,我用动态面板数据模型(其中收入是学校教育和过去收入的函数)估计这两个模型,从而得出分析性的系数。最后,我利用德国社会经济小组的数据对这些系数进行了实证估计。结果表明,在收入曲线的动态面板数据模型中,受教育程度和滞后工资的系数随工作经验的变化表现出较大的差异,这与动态工资溢价模型比Mincer模型更一致。
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:481959085
Book学术官方微信