首页> 外文会议>International Conference on Information Systems >Identifying the Multiple Skills in Skill-Biased Technical Change Completed Research Paper
【24h】

Identifying the Multiple Skills in Skill-Biased Technical Change Completed Research Paper

机译:识别技能偏见技术变更的多种技能完成的研究论文

获取原文

摘要

US median wages have stagnated for 30 years, yet this masks a surprising amount of variation among different groups. A large literature documents that skill-biased technical change (SBTC) has led to substantial real wage increases on average for those with at least a college degree, and declines on average for those with less education. However, SBTC is not a single dimensional construct. We identify seven orthogonal dimensions of skill across 514 occupations and examine how the earning power of each skill changed over the period 2006-2014. We find that (1) different skills accrue different levels of wage, (2) these wage effects vary on both the actual use of IT in the occupation as well as the general level of IT intensity in the industry, and (3) the technology-skill effects on wage are nonlinear. We discuss implications for workers, educators and policymakers.
机译:美国中位数工资已停滞不前30年,但这掩盖了不同群体之间的令人惊讶的变化。技能偏见技术变化(SBTC)的大型文献文件导致了大量的实际工资,平均而言,至少有大学学位的人,以及平均受教育的人下降。但是,SBTC不是单一维度构造。我们在514个职业中识别七个技能维度,并在2006 - 2014年期间检查每个技能的盈利能力如何发生变化。我们发现(1)不同的技能累积不同水平的工资,(2)这些工资效应在职业中的实际使用方面变化,以及行业中的IT强度的一般水平,以及(3)技术 - 对工资的影响是非线性的。我们讨论工人,教育工作者和政策制定者的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号