Research Areas of Interest: Semi-Markov Models, Survival Analysis, Mathematical Modeling
Most of my recent research has been with the Office of Research, Evaluation, and Statistics (ORES) of the Social Security Administration. We have developed age-dependent semi-markov models of the work patterns of the disabled. I am now using survival analysis techniques to analyze the factors which help disabled beneficiaries to go back to work and stay working. The data comes from the New Beneficiary Followup Survey which is available from the ORES site. You can read about the survey from their homepage.
Next year, I will be on sabbatical at ORES working on the evaluation methodology for the Work Incentives Improvement Act of 1999. The summary is listed below:
Social Security
Legislative Bulletin
December 17, 1999 President Clinton Signs The Ticket To Work And Work Incentives Improvement Act Of 1999Today the President signed into law H.R. 1180, the Ticket to Work and Work Incentives Improvement Act of 1999. The law contains the following provisions of interest to SSA: Ticket to Work and Self-Sufficiency ProgramGeneral
Demonstration Projects and StudiesReduction in Disability Benefits Based on Earnings
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The abstract for my latest article in the Social Security Bulletin:
Congress is currently placing considerable emphasis on returning disabled-worker beneficiaries to work. However, going back to work is only the first step in the complex process of program termination due to work and trust fund savings. Not only must the beneficiary get a job, but also the work effort must be sustained at what is considered a substantial gainful activity (SGA) level by the disability program (so that an SGA termination will result) and a reasonable living condition must be achieved by the beneficiary (so that the person is motivated to continue working and lose benefits). This article focuses on those factors that affect the ability of the beneficiary to sustain such a work effort. Combined with previous findings about returning to work, we begin to see the overall effect of the factors on work efforts.
Beneficiaries who have physical therapy rehabilitation have a higher tendency to start working and a lower tendency to stop. Those with vocational training or general education have a higher tendency to start working, but these factors do not help to sustain the effort. Beneficiaries who were helped with job placement have a higher tendency to start work, but they also have a higher tendency to stop. If beneficiaries knew about the trial-work period but not about either the extended period of eligibility or Medicare continuation, then they had a higher tendency to start work and a higher tendency to stop. However, if they knew about all three work incentive provisions, then the tendency to work was not affected.
(This work uses Cox proportional hazard models with
time-dependent covariates to perform the analysis.)
Earlier Work: