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Predictably Unpredictable Inspections

Author

Listed:
  • Ashvin Gandhi

    (University of California, Los Angeles - Anderson School of Management)

  • Andrew Olenski

    (Lehigh University)

  • Maggie Shi

    (University of Chicago - Harris School of Public Policy)

Abstract

Inspections are a common tool for acquiring information and incentivizing compliance. Although inspections are typically unannounced, their timing often follows a predictable schedule. We study how this predictability shapes firm effort and patient outcomes in U.S. nursing homes, leveraging detailed administrative data on staffing, care, and health outcomes. Nursing homes "slack" in the low-risk period following an inspection and ramp up effort as their next inspection approaches.Patient survival mirrors this pattern, suggesting that these fluctuations in effort have meaningful consequences for the quality of patient care. We embed these estimates in a dynamic model capturing how inspection regimes incentivize effort and provide information about quality. Our estimates indicate that moving to unpredictable inspections could induce as much additional effort as increasing the frequency of inspections by 12%, while only minimally reducing their informational value

Suggested Citation

  • Ashvin Gandhi & Andrew Olenski & Maggie Shi, 2026. "Predictably Unpredictable Inspections," Working Papers 2026-43, Becker Friedman Institute for Research In Economics.
  • Handle: RePEc:bfi:wpaper:2026-43
    as

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    File URL: https://repec.bfi.uchicago.edu/RePEc/pdfs/BFI_WP_2026-43.pdf
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    References listed on IDEAS

    as
    1. Yiqun Chen & Marcus Dillender, 2025. "Government Monitoring of Health Care Quality: Evidence from the Nursing Home Sector," NBER Working Papers 34037, National Bureau of Economic Research, Inc.
    2. Haizhen Lin, 2014. "Revisiting the relationship between nurse staffing and quality of care in nursing homes: An instrumental variables approach," Working Papers 2014-01, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    3. Lin, Haizhen, 2014. "Revisiting the relationship between nurse staffing and quality of care in nursing homes: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 37(C), pages 13-24.
    4. Danil Agafiev Macambira & Michael Geruso & Anthony Lollo & Chima D. Ndumele & Jacob Wallace, 2022. "The Private Provision of Public Services: Evidence from Random Assignment in Medicaid," NBER Working Papers 30390, National Bureau of Economic Research, Inc.
    5. Zarek C. Brot-Goldberg & Samantha Burn & Timothy Layton & Boris Vabson, 2023. "Rationing Medicine Through Bureaucracy: Authorization Restrictions in Medicare," NBER Working Papers 30878, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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