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Using Predictive Analytics for Early Identification of Short-Term Disability Claimants Who Exhaust Their Benefits

Author

Listed:
  • Kara Contreary
  • Yonatan Ben-Shalom
  • Brian Gifford

Abstract

Early interventions can help short-term disability insurance (STDI) claimants return to work following onset of an off-the-job medical condition.

Suggested Citation

  • Kara Contreary & Yonatan Ben-Shalom & Brian Gifford, "undated". "Using Predictive Analytics for Early Identification of Short-Term Disability Claimants Who Exhaust Their Benefits," Mathematica Policy Research Reports d76f5fe3ee6e48eca2fd56354, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:d76f5fe3ee6e48eca2fd56354fdc3564
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    File URL: https://rd.springer.com/article/10.1007/s10926-018-9815-5
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    Cited by:

    1. Yonatan Ben-Shalom & Steve Bruns, "undated". "DI Applicants' Characteristics and the Implications for Efforts to Help Them Remain in the Labor Force," Mathematica Policy Research Reports 83d2cde903be40fbbe49fb7cb, Mathematica Policy Research.

    More about this item

    Keywords

    Disability insurance; Predictive analytics ; Early intervention;
    All these keywords.

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