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A01=Committee on National Statistics
A01=Division of Behavioral and Social Sciences and Education
A01=National Academies of Sciences
A01=Panel to Evaluate the Quality of Compensation Data Collected from U.S. Employers by the U.S. Equal Employment Opportunity Commission Through the EEO-1 Form
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Author_Committee on National Statistics
Author_Division of Behavioral and Social Sciences and Education
Author_National Academies of Sciences
Author_Panel to Evaluate the Quality of Compensation Data Collected from U.S. Employers by the U.S. Equal Employment Opportunity Commission Through the EEO-1 Form
Category=JHBC
Engineering
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Product details

  • ISBN 9780309689045
  • Dimensions: 152 x 229mm
  • Publication Date: 20 Apr 2023
  • Publisher: National Academies Press
  • Publication City/Country: US
  • Product Form: Paperback
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The U.S. Equal Employment Opportunity Commission (EEOC) expanded EEO-1 data collection for reporting years 2017 to 2018 in an effort to improve its ability to investigate and address pay disparities between women and men and between different racial and ethnic groups. These pay disparities are well documented in national statistics. For example, the U.S. Census Bureau (2021) found that Black and Hispanic women earned only 63 percent and 55 percent as much, respectively, of what non-Hispanic White men earned.

Evaluation of Compensation Data Collected Through the EEO-1 Form examines the quality of pay data collected using the EEO-1 form and provides recommendations for future data collection efforts. The report finds that there is value in the expanded EEO-1 data, which are unique among federal surveys by providing employee pay, occupation, and demographic data at the employer level. Nonetheless, both short-term and longer-term improvements are recommended to address significant concerns in employer coverage, conceptual definitions, data measurement, and collection protocols. If implemented, these recommendations could improve the breadth and strength of EEOC data for addressing pay equity, potentially reduce employer burden, and better support employer self-assessment.

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