{"title":"职业流动性和终身收入","authors":"Yongseok Shin, C. Yuen","doi":"10.20955/r.101.231-44","DOIUrl":null,"url":null,"abstract":"People?s occupations have a significant amount of information about their wages. However, because people?especially young workers?go through multiple occupations and employment statuses during their working lives, we find that their occupations at a young age do not predict their lifetime earnings well. When educational attainment and gender are considered, we find that across education-gender groups the differences in lifetime earnings are even larger than the differences in average occupational wages: Workers in high-wage education-gender groups (men with college degrees, for example) work more (at the extensive margin) and are more likely to have higher-paying occupations.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Occupational Mobility and Lifetime Earnings\",\"authors\":\"Yongseok Shin, C. Yuen\",\"doi\":\"10.20955/r.101.231-44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"People?s occupations have a significant amount of information about their wages. However, because people?especially young workers?go through multiple occupations and employment statuses during their working lives, we find that their occupations at a young age do not predict their lifetime earnings well. When educational attainment and gender are considered, we find that across education-gender groups the differences in lifetime earnings are even larger than the differences in average occupational wages: Workers in high-wage education-gender groups (men with college degrees, for example) work more (at the extensive margin) and are more likely to have higher-paying occupations.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.20955/r.101.231-44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.20955/r.101.231-44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
People?s occupations have a significant amount of information about their wages. However, because people?especially young workers?go through multiple occupations and employment statuses during their working lives, we find that their occupations at a young age do not predict their lifetime earnings well. When educational attainment and gender are considered, we find that across education-gender groups the differences in lifetime earnings are even larger than the differences in average occupational wages: Workers in high-wage education-gender groups (men with college degrees, for example) work more (at the extensive margin) and are more likely to have higher-paying occupations.