What Explains Lifetime Earnings Differences across Individuals?

IF 2.9 4区 经济学 Q2 BUSINESS, FINANCE Federal Reserve Bank of St Louis Review Pub Date : 2019-03-28 DOI:10.18651/ER/1Q19MUSTRE-DEL-RIO-POLLARD
José Mustre-del-Ŕıo, Emily Pollard
{"title":"What Explains Lifetime Earnings Differences across Individuals?","authors":"José Mustre-del-Ŕıo, Emily Pollard","doi":"10.18651/ER/1Q19MUSTRE-DEL-RIO-POLLARD","DOIUrl":null,"url":null,"abstract":"Expected lifetime earnings are a key factor in many individual decisions, such as whether or not to go to college and what kind of occupation to pursue. However, lifetime earnings differ widely across individuals, and uncovering the factors that explain these differences can be challenging. Some characteristics, such as race and sex, are observable. But other intangible characteristics, such as work performance, are more difficult to quantify. To what degree observable characteristics explain lifetime earnings is an empirical question. {{p}} Jos Mustre-del-Ro and Emily Pollard use a unique data set combining administrative and survey data to assess how much variation in lifetime earnings across individuals can be explained by observable characteristics such as sex, race, education, and labor market experience. They find that labor market experience?that is, the fact that some individuals work more years than others?accounts for roughly 40 percent of the difference in earnings. Standard demographic characteristics such as sex, race, or education alone explain about 15 percent of these differences. In total, observable characteristics account for a little more than half of lifetime earnings differences.","PeriodicalId":51713,"journal":{"name":"Federal Reserve Bank of St Louis Review","volume":"8 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2019-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Federal Reserve Bank of St Louis Review","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.18651/ER/1Q19MUSTRE-DEL-RIO-POLLARD","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1

Abstract

Expected lifetime earnings are a key factor in many individual decisions, such as whether or not to go to college and what kind of occupation to pursue. However, lifetime earnings differ widely across individuals, and uncovering the factors that explain these differences can be challenging. Some characteristics, such as race and sex, are observable. But other intangible characteristics, such as work performance, are more difficult to quantify. To what degree observable characteristics explain lifetime earnings is an empirical question. {{p}} Jos Mustre-del-Ro and Emily Pollard use a unique data set combining administrative and survey data to assess how much variation in lifetime earnings across individuals can be explained by observable characteristics such as sex, race, education, and labor market experience. They find that labor market experience?that is, the fact that some individuals work more years than others?accounts for roughly 40 percent of the difference in earnings. Standard demographic characteristics such as sex, race, or education alone explain about 15 percent of these differences. In total, observable characteristics account for a little more than half of lifetime earnings differences.
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
如何解释个体之间的终生收入差异?
预期终身收入是许多个人决定的关键因素,比如是否上大学以及从事什么样的职业。然而,个人的终身收入差异很大,揭示解释这些差异的因素可能具有挑战性。有些特征,如种族和性别,是可以观察到的。但其他无形的特征,如工作表现,则更难量化。可观察特征在多大程度上解释终身收入是一个实证问题。{{p}} jose Mustre-del-Ro和Emily Pollard使用了一个独特的数据集,结合了行政和调查数据,来评估个人一生收入的差异有多大,可以用性别、种族、教育和劳动力市场经验等可观察特征来解释。他们发现劳动力市场的经验?也就是说,有些人比其他人工作的时间更长?大约占收入差异的40%。标准的人口统计学特征,如性别、种族或教育程度,就能解释这些差异的15%。总的来说,可观察到的特征占了一生收入差异的一半多一点。
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 去求助
来源期刊
CiteScore
3.20
自引率
5.90%
发文量
0
期刊最新文献
Introduction to "The Future of New York City: Charting an Equitable Recovery for All" The Promises and Perils of Racial Equity Planning Flexibility and Conversions in New York City's Housing Stock: Building for an Era of Rapid Change COVID and Cities, Thus Far Do Immigration Restrictions Affect Job Vacancies? Evidence from Online Job Postings
×
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