{"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.
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。