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Bibframe Work

Title
How large are the classification errors in the social security disability award process?
Type
Text
Genre Form
electronic resource
Language
English
Classification
LCC: HB1 (Source: dlc)
Identified By
Lccn: 2005616004
Summary
"This paper presents an audit of the multistage application and appeal process that the U.S. Social Security Administration (SSA) uses to determine eligibility for disability benefits from the Disability Insurance (DI) and Supplemental Security Income (SSI) programs. We study a subset of individuals from the Health and Retirement Study (HRS) who applied for DI or SSI benefits between 1992 and 1996. We compare the SSA's ultimate award decision, i.e. after allowing for appeals, to the applicant's self-reported disability status. We use these data to estimate classification error rates under the hypothesis that applicants' self-reported disability status and the SSA's ultimate award decision are noisy but unbiased indicators of, a latent true disability status' indicator. We find that approximately 20% of SSI/DI applicants who are ultimately awarded benefits are not disabled, and that 60% of applicants who were denied benefits are disabled. Our analysis also yields insights into the patterns of self-selection induced by varying delays and award probabilities at various levels of the application and appeal process. We construct an optimal statistical screening rule using a subset of objective health indicators that the SSA uses in making award decisions that results in significantly lower classification error rates than does SSA's current award process"--National Bureau of Economic Research web site.
Authorized Access Point
Benítez-Silva, Hugo. How large are the classification errors in the social security disability award process?
Authorized Access Point Variant
Buchinsky, Moshe. How large are the classification errors in the social security disability award process?
Rust, John. How large are the classification errors in the social security disability award process?
National Bureau of Economic Research. How large are the classification errors in the social security disability award process?