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Collecting compensation data from employers / Panel on Measuring and Collecting Pay Information from U.S. Employers by Gender, Race, and National Origin, Committee on National Statistics, Division of Behavioral and Social Sciences and Education, National Research Council of the National Academies.
- Format:
- Book
- Author/Creator:
- National Research Council (U.S.). Panel on Measuring and Collecting Pay Information from U.S. Employers by Gender, Race, and National Origin, issuing body.
- Language:
- English
- Subjects (All):
- Wages--United States--Statistics.
- Wages.
- Wages--United States--Statistical methods.
- Physical Description:
- 1 online resource (140 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Washington, District of Columbia : National Academies Press, [2012]
- Language Note:
- English
- Summary:
- U.S. agencies with responsibilities for enforcing equal employment opportunity laws have long relied on detailed information that is obtained from employers on employment in job groups by gender and race/ethnicity for identifying the possibility of discriminatory practices. The U.S. Equal Employment Opportunity Commission (EEOC), the Office of Federal Contract Compliance programs of the U.S. Department of Labor, and the Civil Rights Division of the U.S. Department of Justice have developed processes that use these employment data as well as other sources of information to target employers for further investigation and to perform statistical analysis that is used in enforcing the anti-discrimination laws. The limited data from employers do not include (with a few exceptions) the ongoing measurement of possible discrimination in compensation. The proposed Paycheck Fairness Act of 2009 would have required EEOC to issue regulations mandating that employers provide the EEOC with information on pay by the race, gender, and national origin of employees. The legislation was not enacted. If the legislation had become law, the EEOC would have been required to confront issues regarding currently available and potential data sources, methodological requirements, and appropriate statistical techniques for the measurement and collection of employer pay data. The panel concludes that the collection of earnings data would be a significant undertaking for the EEOC and that there might be an increased reporting burden on some employers. Currently, there is no clearly articulated vision of how the data on wages could be used in the conduct of the enforcement responsibilities of the relevant agencies. Collecting Compensation Data from Employers gives recommendations for targeting employers for investigation regarding their compliance with antidiscrimination laws.
- Contents:
- Machine generated contents note: 1. Background
- Legislation, Authorities, and Responsibilities
- EEOC Data Collection and Reports
- White House Task Force Report and Panel Charge
- Pay Rate Information
- Earnings Information
- 2. Alternative Sources of Wage Data
- Data from EEO-4 Reports
- Administrative Data
- Equal Opportunity Survey Pilot
- U.S. State and Canadian Provincial Surveys
- Survey-Based Wage Information
- Summary
- 3. Pay Concepts and Definitions
- Role of Compensation
- Earnings Data Available in Firms
- Feasible Definitions of Earnings
- Conclusion
- 4. Survey Design and Statistical Methodology
- Options for Data Collection
- Fitness for Use
- Minimization of Reporting Burden
- Human Resource and Payroll Systems
- 5. Confidentiality, Disclosure, and Data Access
- Statistical Protection of Tabular Data and Microdata
- Protecting Original Data
- Further Protection of Shared EEO Data
- 6. Conclusions and Recommendations
- Purpose of a New Data Collection
- Pilot Study
- Agency Capacity and Burden
- Measures for Collection of Pay Information
- Access to Pay Information in a Protected Environment
- References
- Appendixes
- A. EEO Report Forms
- B. Study of Employment Earnings for the Equal Employment
- Opportunity Program: A Possible Role for Administrative Data from Three Tax Systems / Nicholas Greenia
- C. Proposed Pilot Tests of Compensation Data Collection.
- Notes:
- Description based upon print version of record.
- Includes bibliographical references (pages 93-97).
- Description based on print version record.
- ISBN:
- 9780309264112
- 0309264111
- 9780309264099
- 030926409X
- OCLC:
- 893439507
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