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Related Experiment Videos

Modeling SSA's sequential disability determination process using matched SIPP data

K Lahiri1, D R Vaughan, B Wixon

  • 1University at Albany-State University of New York, USA.

Social Security Bulletin
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

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This study models the Social Security Administration's (SSA) disability determination process. It found that medical factors are crucial early on, while work history and education matter more in later stages.

Area of Science:

  • Social Sciences
  • Economics
  • Public Policy

Background:

  • The Social Security Administration (SSA) disability determination process is complex.
  • Understanding the factors influencing disability application outcomes is crucial for policy and program evaluation.

Purpose of the Study:

  • To model the SSA's disability determination process using linked survey and administrative data.
  • To identify the relative importance of various factors at different stages of the determination process.

Main Methods:

  • Utilized exact matching of household survey data (Survey of Income and Program Participation - SIPP) with SSA administrative data.
  • Employed a multistage sequential logit model to mirror the sequential nature of disability determinations by State Disability Determination Services agencies.

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Main Results:

  • The explanatory power of variables is stage-dependent; medical and activity limitation variables are significant in early stages.
  • Past work experience, age, and education become more influential in later stages of the disability determination process.
  • Detailed administrative data enabled precise clarification of variable roles throughout the process.

Conclusions:

  • The sequential nature of the disability determination process means different factors are relevant at different stages.
  • This modeling approach provides a framework for understanding and potentially improving disability determination.
  • Future research will extend to policy estimations and analysis of applicant behavior.