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May 26, 2026Applied Economic Perspectives and Policy0 citationsOpen Access

Crop Insurance Design and On‐Farm Risk Adaptation

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GTGerald Van TassellAKAlan P. Ker

Key Points

  • The aim is to redesign crop insurance guarantees to reflect a consistent likelihood of indemnity.
  • Analyzed U.S. crop insurance data to assess current subsidy allocations.
  • Proposed a probability-based guarantee system to reduce risk-taking incentives.
  • Estimated subsidy reallocations based on risk levels.
  • Probability-based guarantees could reallocate approximately $3.3 billion in annual subsidies.
  • Low-risk production regions could see a reduction in disparities by two-thirds.
  • Total subsidies would remain unchanged while promoting more sustainable agricultural practices.

Abstract

ABSTRACT The United States spends billions annually on crop insurance premium subsidies, yet the prevailing distance‐based guarantee design unintentionally rewards risk‐taking by linking subsidies to yield variability. We consider a simple redesign: define guarantees in terms of probability so that coverage reflects a consistent likelihood of indemnity. Using US data, this probability‐based approach would reallocate about 3. 3 billion in annual subsidies from high‐risk to low‐risk production, reducing regional disparities by two‐thirds without changing total subsidies. Because most publicly subsidized crop insurance programs around the world share this structure, adopting probability‐based guarantees could help realign agricultural production toward more resilient and sustainable regions and practices.

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Cite This Study

Tassell et al. (2026) studied this question.

synapsesocial.com/papers/6a153b00b5d9c58d83e8d32ahttps://doi.org/10.1002/aepp.70087
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