National Academies Press: OpenBook
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

Image

Consensus Study Report

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

NATIONAL ACADEMIES PRESS 500 Fifth Street, NW, Washington, DC 20001

This study was supported by the U.S. Equal Employment Opportunity Commission through agreement #45310020S0036. Support of the work of the Committee on National Statistics is provided by a consortium of federal agencies through a grant from the National Science Foundation (award number SES-1560294) and several individual contracts. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the organizations or agencies that provided support for the project.

International Standard Book Number-13: 978-0-309-68904-5
International Standard Book Number-10: 0-309-68904-X
Digital Object Identifier: https://doi.org/10.17226/26581

This publication is available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu.

Copyright 2023 by the National Academy of Sciences. National Academies of Sciences, Engineering, and Medicine and National Academies Press and the graphical logos for each are all trademarks of the National Academy of Sciences. All rights reserved.

Printed in the United States of America.

Suggested citation: National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. https://doi.org/10.17226/26581.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president.

The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. John L. Anderson is president.

The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president.

The three Academies work together as the National Academies of Sciences, Engineering, and Medicine to provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. The National Academies also encourage education and research, recognize outstanding contributions to knowledge, and increase public understanding in matters of science, engineering, and medicine.

Learn more about the National Academies of Sciences, Engineering, and Medicine at www.nationalacademies.org.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

Consensus Study Reports published by the National Academies of Sciences, Engineering, and Medicine document the evidence-based consensus on the study’s statement of task by an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and the committee’s deliberations. Each report has been subjected to a rigorous and independent peer-review process and it represents the position of the National Academies on the statement of task.

Proceedings published by the National Academies of Sciences, Engineering, and Medicine chronicle the presentations and discussions at a workshop, symposium, or other event convened by the National Academies. The statements and opinions contained in proceedings are those of the participants and are not endorsed by other participants, the planning committee, or the National Academies.

Rapid Expert Consultations published by the National Academies of Sciences, Engineering, and Medicine are authored by subject-matter experts on narrowly focused topics that can be supported by a body of evidence. The discussions contained in rapid expert consultations are considered those of the authors and do not contain policy recommendations. Rapid expert consultations are reviewed by the institution before release.

For information about other products and activities of the National Academies, please visit www.nationalacademies.org/about/whatwedo.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

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

WILLIAM M. RODGERS III (Chair), Federal Reserve Bank of St. Louis

M.V. LEE BADGETT, University of Massachusetts

PAUL P. BIEMER, RTI International

LISA CATANZARITE, UNITE-LA and Association of Chamber of Commerce Executives

SIWEI CHENG, New York University

REBECCA DIXON, National Employment Law Project

LISETTE GARCIA, Penn State University

CLAUDIA GOLDIN, Harvard University

JUDITH K. HELLERSTEIN, University of Maryland

ELIZABETH HIRSH, University of British Columbia

KRISTEN M. OLSON, University of Nebraska-Lincoln

DONALD TOMASKOVIC-DEVEY, University of Massachusetts

VALERIE RAWLSTON WILSON, Economic Policy Institute

Staff

JENNIFER PARK, Study Director

BRADFORD CHANEY, Senior Program Officer

REBECCA KRONE, Senior Program Coordinator

ERIC GRIMES, Senior Program Assistant

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

COMMITTEE ON NATIONAL STATISTICS

ROBERT M. GROVES (Chair), Office of the Provost, Georgetown University

LAWRENCE D. BOBO, Department of Sociology, Harvard University

ANNE C. CASE, School of Public and International Affairs, Princeton University, Emeritus

MICK P. COUPER, Institute for Social Research, University of Michigan

DIANA FARRELL, JPMorgan Chase Institute, Washington, DC

ROBERT GOERGE, Chapin Hall at the University of Chicago

ERICA L. GROSHEN, School of Industrial and Labor Relations, Cornell University

DANIEL E. HO, Stanford Law School, Stanford University

HILARY HOYNES, Goldman School of Public Policy, University of California, Berkeley

DANIEL KIFER, Department of Computer Science and Engineering, The Pennsylvania State University

SHARON LOHR, School of Mathematical and Statistical Sciences, Arizona State University, Emerita

JEROME P. REITER, Department of Statistical Science, Duke University

NELA RICHARDSON, ADP Research Institute, Roseland, NJ

JUDITH A. SELTZER, Department of Sociology, University of California, Los Angeles

C. MATTHEW SNIPP, School of the Humanities and Sciences, Stanford University

ELIZABETH A. STUART, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health

Staff

MELISSA CHIU, Director

BRIAN HARRIS-KOJETIN, Senior Scholar

CONSTANCE F. CITRO, Senior Scholar

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

Preface

Pay disparities—or inequality in earnings between women, men, and those among race/ethnicity groups—are well-documented in national statistics. While differences in pay can be attributed to differences in workers’ education, work experience, or occupation, these factors fail to fully explain sex and race/ethnicity pay gaps.

Differences in pay based on sex and race/ethnicity have been outlawed by the federal government for almost 60 years. The Equal Employment Opportunity Commission (EEOC) has statutory authority to enforce pay equity. However, prior to the data collection that is the focus of the panel’s study, there were no other sources of federal data from employers describing the relationship among compensation, establishment, and employee characteristics that could be used for enforcement purposes. To access pay data and thereby improve its ability to address pay disparities, EEOC needed to expand its data-collection activities to include measures of pay.

In 2012, EEOC requested the National Research Council to recommend how EEOC should collect compensation data from private employers. In 2015, EEOC asked Sage Computing for further recommendations. In 2016, EEOC began to collect pay data using an expanded EEO-1 form. The pay-data collection was stopped in 2017 by the Office of Management and Budget (OMB) due to concerns about employer burden, but the historic employment form of EEO-1, known as Component 1, was permitted to continue. In 2018, the National Women’s Law Center successfully sued EEOC and OMB to continue collection of pay data, known as Component 2. Accordingly, pay-data collection began in 2019 for reporting years 2017 and 2018.

Page viii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

In 2020, EEOC asked the National Academies of Sciences, Engineering, and Medicine to examine the quality of Component 2 data for its intended use and provide recommendations for future data collections. In response to this request, the National Academies appointed a panel under the Committee on National Statistics to conduct this task. Thirteen scholars representing a broad array of disciplines—labor economics, sociology, statistics, survey design and methodology, employment law, race and gender equality studies, and diversity and inclusion evaluation—were included on the panel. We thank Robert Lattimer for his service on the panel (resigned as of August 18, 2021).

Panel meetings were held from February 2021 to January 2022. The period coincided with the COVID-19 pandemic and the national shutdown that occurred in response. As a result, the panel completed the entirety of its work remotely. This introduced new challenges and opportunities for the panel’s work. For example, the panel met more frequently (24 meetings rather than six) for shorter sessions (two-hour web sessions rather than day-long in-person meetings).

This meeting model required greater participation from the panel to plan and moderate sessions. However, the model was well-suited to receiving input from outside experts during open panel meetings. These inputs, reflecting various expertise and perspectives, were essential to the panel’s review. Accordingly, we thank Charlotte Burrows (chair, EEOC); Chris Haffer (chief data officer, EEOC); Rashida Dorsey (then director of Office of Enterprise Data and Analytics’ Data Development and Information Products Division, EEOC); David Fortney (cofounder, Fortney & Scott, LLC); Adam P. Romero (deputy director of executive programs) and Janette Wipper (chief counsel) (both of the California Department of Fair Employment and Housing); Emily Martin (vice president for education and workplace justice, National Women’s Law Center); Joi Olivia Chaney (executive director, Washington Bureau; senior vice president, policy and advocacy, National Urban League); Yona Rozen (associate general counsel, American Federation of Labor and Congress of Industrial Organizations); Andrea Wagoner (branch chief, Publications and Analysis Branch) and Jeff Holt (supervisory economist) (both of Division of Occupational Employment Statistics, Bureau of Labor Statistics, Department of Labor); Keith A. Bailey (assistant center chief, Longitudinal Employer-Household Dynamics Research, Center for Economic Studies, Census Bureau, Department of Commerce); Hakan Aykan (director) and Nathan Adams (economist) (both of Research and Analytic Services, Office of General Counsel, EEOC); Marla Stern-Knowlton (systemic supervisor, EEOC); Robert M. LaJeunesse (director of enforcement) and Edo Navot (labor economist) (both of the Office of Federal Contract Compliance Programs, Department of Labor); Jason Keller (assistant director) and Robert Parrilli (division manager) (both of Equal Pay Act of Illinois, Illinois Department of Labor); Lynn A.

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

Clements (director, audit and HR services, Berkshire Associates); Karen Minicozzi (human resource information consultant); Doug Tapp (human capital consultant, Deloitte Consulting LLP); Valentin Estevez (advisory council member, National Industry Liaison Group; senior managing director, Welch Consulting); and Anthony Kaylin (chair, National Industry Liaison Group; vice president, American Society of Employers).

We also thank Elizabeth Fox-Solomon (chief of staff, EEOC) and Kimberly Essary (deputy chief data officer, EEOC) for their constructive partnership throughout this endeavor.

The nature of the panel’s charge also presented new challenges and opportunities. The panel engaged in original data analysis to examine the quality of the Component 2 data. To conduct these analyses at the direction of the panel, the National Academies contracted with RTI International. We thank Dan Liao (senior research statistician and program manager); Sahar Zangeneh (research statistician); Jennifer J. Unangst (research statistician); John David Bunker, Jr. (statistician); and Philip Lee (research statistician) of RTI International for their extraordinary support. We thank Karen Grigorian (vice president and project director) and Lance Selfa (principal research scientist) of the National Opinion Research Center at the University of Chicago for facilitating knowledge transfer regarding the Component 2 data collection.

For assistance in managing the contract award process at the National Academies, we thank Kevin Hale (director of procurement services and sub-award administration), Dorothy Yee (manager and sub-award administrator), Madeline Welch (procurement specialist), and Elizabeth J. Molyé (senior contract manager) of the Office of the Chief Financial Officer. For assistance in ensuring appropriate data security controls were included in the contract language, we thank Marc Gold (deputy general counsel) and Mattie Cohan (associate general counsel), both of the Office of General Counsel.

Additionally, the EEO-1 data files examined for the panel’s analysis are controlled-use, requiring special care to protect against unauthorized access. Indeed, neither the National Academies project staff nor panel members had access to the data files examined. We thank the National Academies staff Enita A. Williams (director of program security) and Ross MacIsaac (information systems security manager) of the Office of Program Security for their assistance in ensuring appropriate data security.

For conducting their work within these extraordinary circumstances and requirements, we give special thanks to the study panel, who devoted exceptional time, thought, and energy to this endeavor.

A number of staff members of the National Academies made significant contributions to the report. Patricia Brick (former staff) contributed to early management of this project. Eric Grimes made sure that panel meetings ran smoothly; he and Rebecca Krone assisted in preparing the manuscript,

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

and otherwise provided key administrative and logistical support; Kirsten Sampson Snyder managed the report review and production process; and Brian Harris-Kojetin, director of the Committee on National Statistics, and Melissa Chiu, deputy director of the Committee on National Statistics, provided valuable guidance and oversight. We also thank Susan Debad for her exceptional editing of the report.

This Consensus Study Report was reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise. The purpose of this independent review is to provide candid and constructive comments that will assist the National Academies in making each published report as sound as possible and to ensure that each report meets the institutional standards for quality, objectivity, evidence, and responsiveness to the study charge. The review comments and draft manuscript remain confidential to protect the integrity of the deliberative process.

We thank the following individuals for their review of this report: Katharine G. Abraham, Department of Economics and Joint Program in Survey Methodology, University of Maryland; Francine D. Blau, Industrial and Labor Relations, Cornell University; Kevin F. Hallock, Office of the President, University of Richmond; Nicole Mason, Office of the President and Chief Executive Officer, Institute for Women’s Policy Research; Jaki McCarthy, National Agricultural Statistics Service, Department of Agriculture (retired); Justin McCrary, School of Law, Columbia University; G. Roger King, Senior Labor and Employment Counsel, HR Policy Association; Ani Huang, Senior Vice President, HR Policy Association; and Lincoln Quillian, Department of Sociology, Northwestern University.

Although the reviewers listed above provided many constructive comments and suggestions, they were not asked to endorse the conclusions or recommendations of this report, nor did they see the final draft before its release. The review of this report was overseen by Erica Groshen, School of Industrial and Labor Relations, Cornell University, and Kenneth W. Wachter, Demography and Statistics, University of California, Berkeley (emeritus). They were responsible for making certain that an independent examination of this report was carried out in accordance with the standards of the National Academies and that all review comments were carefully considered. Responsibility for the final content rests entirely with the authoring panel and the National Academies.

William M. Rodgers, III, Chair
Jennifer Park, Study Director
Bradford Chaney, Senior Program Officer

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

Page xiii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

This page intentionally left blank.

Page xviii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

2-3 EEO-1 Component 2 instrument Section D (online version), 2016

2-4 EEO-1 Component 2 instrument data-upload form (example)

3-1 Percentage of employees in each pay band, by EEO-1 job category

3-2 California Department of Fair Housing and Employment pay-data collection on-line instrument for reporting year 2020: exemplar hours form

4-1 Component 2 firm response rates by NAICS code, 2017 and 2018

4-2 Component 2 response rates by state, 2017 and 2018

4-3 Cumulative response rate by date of collection, Component 2, 2017 and 2018

5-1 Top three quintiles for intercomponent average ARD for number of employees in an SRO cell by year and firm characteristic (excludes inconsistent zero cells)

5-2 Quintiles of Component 2 average ARD when comparing 2017 and 2018 for number of employees, by administration mode and establishment size

5-3 Quintiles for Component 2 average ARD when comparing 2017 and 2018 for hours worked per employee, by administration mode and establishment size

5-4 Comparison of 2017 establishment sizes in Components 1 and 2 data prior to filtering to remove outliers

5-5 Comparison of 2017 Component 1 and 2 establishment sizes after filtering to remove outliers

5-6 Comparison of establishment sizes in 2017 to 2018 Component 2 data prior to filtering to remove outliers

5-7 Comparison of establishment sizes in 2017 to 2018 Component 2 data after filtering to remove outliers

5-8 Comparison of 2017 to 2018 Component 2 total employee hours worked before and after filtering to remove outliers

6-1 Schematic description of the four comparisons

6-2 Basic pay differentials in ACS data by sex and race/ethnicity (natural log)

6-3 Intersectional pay differentials from White males in the ACS (natural log)

6-4 Pay differentials by sex and race/ethnicity in the ACS with sequential controls (natural log)

6-5 Pay differentials by sex and race/ethnicity in the ACS with EEO’d occupations (natural log)

6-6 Pay differentials by sex and race/ethnicity in the ACS with EEO’d occupations and pay bands (natural log)

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

6-7 Basic pay differentials in Component 2 data by sex and race/ethnicity (natural log)

6-8 Intersectional pay differentials in Component 2 data (natural log)

6-9 Pay differentials by sex and race/ethnicity in Component 2 data with sequential controls (natural log)

7-1 Annual pay gap in percent relative to White men, by job category, for men

7-2 Annual pay gap in percent relative to White men, by job category, for women

7-3 Ratio (logged) of sex and race/ethnicity groups’ pay as compared with White men, by job category

8-1 Anticipated total eligible firms and establishments and available pay data, 2018 Component 2

TABLES

2-1 Federal Data Collections with Pay and Demographic Measures

2-2 Previous Measurement Recommendations and Decisions

2-3 Reporting Periods Used for Establishments When Completing EEO-1 Data Forms

3-1 Pay Bands in EEOC Component 2 Collection, 2017–2018

3-2 Percent Employed by Pay Band, Component 2 Data, 2018

4-1 EEO-1 Component 2 Filing Universe Frame Development

4-2 Component 2 Firm Response Rates, by Source of Firm

4-3 2017 Characteristics of Component 2 Establishments, by Completion Date (Count)

4-4 2017 Characteristics of Component 2 Establishments, by Completion Date (Percent)

4-5 2018 Characteristics of Component 2 Establishments, by Completion Date (Count)

4-6 2018 Characteristics of Component 2 Establishments, by Completion Date (Percent)

4-7 Characteristics of Component 2 Establishments, by Year

4-8 Years of Appearance of Component 2 Establishments, by Establishment Size

4-9 Years of Appearance of Component 2 Establishments, by Industry

4-10 Number of Firms in EEO-1 Data and Census Bureau BDS: 2017 and 2018

4-11 Number of Establishments, by Data Source: 2017 and 2018

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

4-12 Number of Firms, by Industry and Data Source: 2017 and 2018

4-13 Number of Establishments, by Industry and Data Source: 2017 and 2018

5-1 Percent of SROP Cells with Missing Data on Hours Worked or Number of Employees

5-2 Percentage of Firms, Establishments, and Cells by Hours-Worked-per-Employee Flag Status, Administration Mode, and Size for 2017, Component 2

5-3 Percent of SROs with Inconsistent Zero Numbers of Employees When Comparing 2018 Component 1 and Component 2

5-4 Mean Intercomponent RD for Number of Employees in an SRO Cell by Administration Mode, Size, and Year

5-5 Average Indexes of Inconsistency When Comparing Component 1 and Component 2 Responses, by Administration Mode, Size, and Year

5-6 Percent of Component 2 SROs Having Non-Zero Employees in One or Both Years by Administration Mode, Size, and Year

5-7 Average Component 2 Relative Differences When Comparing 2017 and 2018 for Number of Employees (RD(E)) and Average Hours Worked (RD(H/E)) by Administration Mode and Size

5-8 Component 2 Average Indexes of Inconsistency When Comparing 2017 and 2018 for Number of Employees per SROP, by Administration Mode and Establishment Size

5-9 Comparison of 2017 Component 1 to Component 2 Distributions for Number of Establishments and Total Number of Employees Before and After Filtering to Remove Outliers, by Size

5-10 Mean RD When Comparing Components 1 and 2 for Number of Employees in an SRO Cell Before and After Filtering to Remove Outliers, by Administration Mode, Size, and Year

5-11 Average Intercomponent Indexes of Inconsistency Before and After Filtering, by Administration Mode, Size, and Year

5-12 Component 2 Average Relative Differences and Indexes of Inconsistency When Comparing 2017 and 2018 for Number of Employees by Administration Mode and Size Before and After Filtering to Remove Outliers

5-13 Component 2 Average Relative Differences and Indexes of Inconsistency When Comparing 2017 and 2018 Data for Hours Worked per Employee Before and After Filtering to Remove Outliers, by Administration Mode and Size

7-1 Number of Pay Bands Used per SRO Cell, by Selected Employer Characteristics

Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×

7-2 Number of Pay Bands Used per Selected Employee Characteristics

7-3 Summary Statistics of EEOC Population by Race/Ethnicity, Sex, and Occupation: Silicon Valley Technology Sector, 2018

7-4 Comparisons of Pay Gaps Across Selected Establishments, by Race/Ethnicity, Sex, and Occupation: Silicon Valley Technology Sector, 2018

8-1 Example of Possible EEO-1 Pay-Data Collection Form Obtaining Individual-Level Data (Spreadsheet Version)

8-2 Recommendations to Enforce Pay Equity in the Workplace

8-3 Recommendations to Account for a Changing Society

8-4 Recommendations to Use Good Government and Statistical Practices

CHAPTER APPENDIXES

APPENDIX 5-1 Percent of Data Present for Hours Worked and Employment in SROP Cells

APPENDIX 5-2 Percentage of Firms, Establishments, and Cells with Each Flag Status (2018)

APPENDIX 5-3 Technical Memorandum Describing Merging Datasets for Data Quality Assessment

APPENDIX 5-4 Inconsistent Zeros for Number of Employees Comparing Component 2 Data for 2017 and 2018 at the SRO Level

APPENDIX 6-1 EEO-1 Component 2 Adjustments

APPENDIX BOX 6-1 Sequence of Steps Followed to Create Analysis File for Regressions

APPENDIX 6-2 Number of Employees, by Selected Employee and Establishment Characteristics: 2018

APPENDIX 6-3 Hours Worked in Thousands, by Employee and Establishment Characteristics: 2018

APPENDIX 6-4 Key Summary Statistics

APPENDIX 6-5 Percentage of Employees in Each Job Category Who Are in Each Pay Band

APPENDIX 6-6 Regression Results Using Detailed ACS Earnings Information and SOC Codes

APPENDIX 6-7 Regression Results Using ACS Detailed Earnings Information and EEO-1 Job Categories

APPENDIX 6-8 Regression Results Using Fully EEO’d ACS Data—Pay-Band Earnings and EEO-1 Job Categories

Page xxii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R1
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R2
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R3
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R4
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R5
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R6
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R7
Page viii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R8
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R9
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R10
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R11
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R12
Page xiii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R13
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R14
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R15
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R16
Page xvii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R17
Page xviii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R18
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R19
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R20
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R21
Page xxii Cite
Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2023. Evaluation of Compensation Data Collected Through the EEO-1 Form. Washington, DC: The National Academies Press. doi: 10.17226/26581.
×
Page R22
Next: Summary »
Evaluation of Compensation Data Collected Through the EEO-1 Form Get This Book
×
Buy Paperback | $50.00 Buy Ebook | $40.99
MyNAP members save 10% online.
Login or Register to save!
Download Free PDF

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.

  1. ×

    Welcome to OpenBook!

    You're looking at OpenBook, NAP.edu's online reading room since 1999. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website.

    Do you want to take a quick tour of the OpenBook's features?

    No Thanks Take a Tour »
  2. ×

    Show this book's table of contents, where you can jump to any chapter by name.

    « Back Next »
  3. ×

    ...or use these buttons to go back to the previous chapter or skip to the next one.

    « Back Next »
  4. ×

    Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book.

    « Back Next »
  5. ×

    Switch between the Original Pages, where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text.

    « Back Next »
  6. ×

    To search the entire text of this book, type in your search term here and press Enter.

    « Back Next »
  7. ×

    Share a link to this book page on your preferred social network or via email.

    « Back Next »
  8. ×

    View our suggested citation for this chapter.

    « Back Next »
  9. ×

    Ready to take your reading offline? Click here to buy this book in print or download it as a free PDF, if available.

    « Back Next »
Stay Connected!