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Policy Scenario Sensitivity Analysis — Robustness Testing of Policy Models Across Defined Futures

Policy Scenario Sensitivity Analysis (PSSA) combines structured scenario planning with formal sensitivity analysis to determine which model inputs and policy parameters most strongly drive outcomes across a set of distinct policy alternatives or future states. It is widely used in public health, climate, energy, and economic policy modeling to identify robust interventions that perform well even when key assumptions vary.

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Sources

  1. Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. John Wiley & Sons, Chichester. ISBN: 9780470059975
  2. Lempert, R. J., Popper, S. W., & Bankes, S. C. (2003). Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. RAND Corporation, Santa Monica, CA. link

Related methods

ScholarGatePolicy Scenario Sensitivity Analysis (Policy Scenario Sensitivity Analysis — Structured examination of how model outputs respond to input variation across defined policy alternatives). Retrieved 2026-06-04 from https://scholargate.app/tr/simulation/policy-scenario-sensitivity-analysis