引入按分组工作级别划分的模拟工资估算

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Joana Allamani, M. Hudak, Adam Issan
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引用次数: 0

摘要

模拟工资估计(MWE)提供了按工作特征和给定地理位置的职业的平均小时工资的年度估计。这些估计是通过借鉴职业就业和工资统计(OEWS)和国家薪酬调查(NCS)计划的力量和广度得出的,以提供比任何一个计划单独提供的更多关于职业工资的细节。工作特征是指一个职业中工人的属性,包括工人的谈判地位(工会和非工会)、工作状态(兼职和全职)、工资基础(基于激励或基于时间)和工作水平(1-15级)。在本文中,我们提出了通过分组工作级数据计算的实验估计。分组水平估计可以帮助研究人员、人力资源专业人员、求职者和其他数据用户更好地了解初级、中级和有经验的工作水平的薪酬变化情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing Modeled Wage Estimates by grouped work levels
The Modeled Wage Estimates (MWE) provide annual estimates of average hourly wages for occupations by job characteristics and within a given geographical location. These estimates are produced by borrowing from the strength and breadth of the Occupational Employment and Wage Statistics (OEWS) and National Compensation Survey (NCS) programs to provide more details on occupational wages than either program provides individually. Job characteristics refer to the attributes of workers within an occupation and include worker bargaining status (union and nonunion), work status (part-time and full-time), basis of pay (incentive-based or time-based), and work level (levels 1–15). In this article, we present experimental estimates calculated by grouping work-level data. Grouped level estimates may help researchers, human resources professionals, jobseekers, and other data users to get a better understanding of how pay varies for entry, intermediate, and experienced work levels.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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