Is the 2010 Affordable Care Act Minimum Standard to Identify Disability in All National Datasets Good Enough for Policy Purposes?

44 Pages Posted: 28 Mar 2014

See all articles by Richard V. Burkhauser

Richard V. Burkhauser

Cornell University - Department of Policy Analysis & Management (PAM); University of Melbourne, Melbourne Institute

T. Lynn Fisher

U.S. Social Security Administration

Andrew J. Houtenville

University of New Hampshire - Whittemore School of Business and Economics

Jennifer Tennant

Cornell University

Date Written: March 27, 2014

Abstract

Using linked 2009 Current Population Survey (CPS)-Annual Social and Economic Supplement/Social Security Administration records data and a definition of disability based on the six-question disability sequence (6QS) in the CPS-Basic Monthly Survey, we perform a face validity test that shows that the 6QS captures only 66.3 percent of those who administrative records confirm are receiving Social Security benefits based on their disability. Adding a work-activity question to the 6QS increases our capture rate by another 23.1 percentage points for a total of 89.3 percent. We find little difference in the distribution of conditions between those who only report a 6QS-based disability and those who only report a work activity-based disability. The four function-related questions in the 6QS do a relatively good job of capturing those receiving benefits based on these conditions. But the work-activity question does a far better job of capturing those receiving benefits than the two activity-related questions in the 6QS.

Keywords: disability, survey measurement, Americans with Disabilities Act (ADA), Current Population Survey, health statistics, activity limitations, labor force participation

Suggested Citation

Burkhauser, Richard V. and Fisher, T. Lynn and Houtenville, Andrew J. and Tennant, Jennifer, Is the 2010 Affordable Care Act Minimum Standard to Identify Disability in All National Datasets Good Enough for Policy Purposes? (March 27, 2014). Michigan Retirement Research Center Research Paper No. 2014-267, Available at SSRN: https://ssrn.com/abstract=2416991 or http://dx.doi.org/10.2139/ssrn.2416991

Richard V. Burkhauser (Contact Author)

Cornell University - Department of Policy Analysis & Management (PAM) ( email )

120 Martha Van Rensselaer Hall
Ithaca, NY 14853
United States

University of Melbourne, Melbourne Institute ( email )

Level 5, FBE Building, 111 Barry Street
161 Barry Street
Carlton, VIC 3053
Australia

T. Lynn Fisher

U.S. Social Security Administration ( email )

Washington, DC 20254
United States

Andrew J. Houtenville

University of New Hampshire - Whittemore School of Business and Economics ( email )

15 College Road
Durham, NH 03824
United States

Jennifer Tennant

Cornell University ( email )

Ithaca, NY 14853
United States

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