Department of Economics
9357 Bunche Hall
Los Angeles, CA 90095-1477
NBER Program Affiliations:
NBER Affiliation: Research Associate
Institutional Affiliation: University of California at Los Angeles
Information about this author at RePEc
NBER Working Papers and Publications
|November 2010||Comment on "Financing Medicare: A General Equilibrium Analysis"|
in Demography and the Economy, John B. Shoven, editor
|January 2004||How Large are the Classification Errors in the Social Security Disability Award Process?|
with Hugo Benitez-Silva, : w10219
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 appro...
|February 2000||How Large is the Bias is Self-Reported Disability?|
with , , , : w7526
A pervasive concern with the use of self-reported health and disability measures in behavioral models is that they are biased and endogenous. A commonly suggested explanation is that survey respondents exaggerate the severity of health problems and incidence of disabilities in order to rationalize labor force non-participation, application for disability benefits and/or receipt of those benefits. This paper re-examines this issue using a self-reported indicator of disability status from the Health and Retirement Survey. Using a bivariate probit model we test and are unable to reject the hypothesis that the self-reported disability measure is an exogenous explanatory variable in a model of individual's decision to apply for DI benefits or Social Security Administration's decision to awar...
Published: Benitez-Silva, Hugo, Moshe Buchinsky, Hiu Man Chan, Sofia Cheidvasser, and John P. Rust. "How Large is the Bias is Self-Reported Disability?" Journal of Applied Econometrics 19 (2004): 649-670. citation courtesy of
|February 1996||Wage Mobility in the United States|
with : w5455
This paper examines the mobility of individuals through the wage and earnings distributions. This is of extreme importance since mobility has a direct implication for the way one views the vast changes in wage and earnings inequality in the United States over the last few decades. The measures of wage and earnings mobility analyzed are based on data for individuals surveyed in the National Longitudinal Survey for Youth from 1979 to 1991. We introduce summary measures of mobility computed over varying time horizons in order to examine how the effect on measured inequality as the time horizon is increased. The results suggest that mobility is predominantly within group mobility and increases most rapidly when the time horizon is extended up to four years, reducing wage inequality by 12-26...
Published: Review of Economics and Statistics, (August 1999). citation courtesy of