{"title":"绘制就业预测和O*NET数据:方法概述","authors":"Amy Hopson","doi":"10.21916/mlr.2021.18","DOIUrl":null,"url":null,"abstract":"Because of differences in data collection purposes and practices, combining data from different federal statistical programs that use the Standard Occupational Classification system can be complicated. This article addresses this problem by presenting a method for mapping occupational data from the U.S. Bureau of Labor Statistics Employment Projections program and the U.S. Department of Labor Occupational Information Network.","PeriodicalId":47215,"journal":{"name":"Monthly Labor Review","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping Employment Projections and O*NET data: a methodological overview\",\"authors\":\"Amy Hopson\",\"doi\":\"10.21916/mlr.2021.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Because of differences in data collection purposes and practices, combining data from different federal statistical programs that use the Standard Occupational Classification system can be complicated. This article addresses this problem by presenting a method for mapping occupational data from the U.S. Bureau of Labor Statistics Employment Projections program and the U.S. Department of Labor Occupational Information Network.\",\"PeriodicalId\":47215,\"journal\":{\"name\":\"Monthly Labor Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2021-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Monthly Labor Review\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.21916/mlr.2021.18\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INDUSTRIAL RELATIONS & LABOR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Monthly Labor Review","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.21916/mlr.2021.18","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
Mapping Employment Projections and O*NET data: a methodological overview
Because of differences in data collection purposes and practices, combining data from different federal statistical programs that use the Standard Occupational Classification system can be complicated. This article addresses this problem by presenting a method for mapping occupational data from the U.S. Bureau of Labor Statistics Employment Projections program and the U.S. Department of Labor Occupational Information Network.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
