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.

• TeilnehmendeR: National Research Council (U.S.). Committee on National Statistics,
• Place / Publishing House: Washington, District of Columbia : : National Academies Press,, [2012]; 2012
• Year of Publication: 2012
• Language: English
• Physical Description: 1 online resource (153 pages) :; illustrations

Table of 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.