000			02768cam a22003377 4500
001			w10219
003			NBER
005			20211020112844.0
006			m o d
007			cr cnu||||||||
008			210910s2004 mau fo 000 0 eng d
100	1		_aBenitez-Silva, Hugo.
245	1	0	_aHow Large are the Classification Errors in the Social Security Disability Award Process? / _cHugo Benitez-Silva, Moshe Buchinsky, John Rust.
260			_aCambridge, Mass. _bNational Bureau of Economic Research _c2004.
300			_a1 online resource: _billustrations (black and white);
490	1		_aNBER working paper series _vno. w10219
500			_aJanuary 2004.
520	3		_aThis 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.
530			_aHardcopy version available to institutional subscribers
538			_aSystem requirements: Adobe [Acrobat] Reader required for PDF files.
538			_aMode of access: World Wide Web.
588	0		_aPrint version record
690		7	_aH3 - Fiscal Policies and Behavior of Economic Agents _2Journal of Economic Literature class.
700	1		_aBuchinsky, Moshe. _96984
700	1		_aRust, John. _919910
710	2		_aNational Bureau of Economic Research.
830		0	_aWorking Paper Series (National Bureau of Economic Research) _vno. w10219.
856	4	0	_uhttps://www.nber.org/papers/w10219
856			_yAcceso en línea al DOI _uhttp://dx.doi.org/10.3386/w10219
942			_2ddc _cW-PAPER
999			_c337952 _d296514