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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.

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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.
Contributor:
National Research Council (U.S.). Committee on National Statistics, 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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