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⚖️ '''Cross-subsidisation''' occurs when the [[Definition:Premium | premiums]] charged to one group of [[Definition:Policyholder | policyholders]] effectively subsidize the [[Definition:Claim | claims]] costs generated by another group within the same [[Definition:Insurance carrier | insurer]] or [[Definition:Insurance pool | pool]]. In its simplest form, lower-risk insureds pay more than their expected losses would justify, while higher-risk insureds pay less — a misalignment between price and risk that can arise intentionally through regulation or social policy, or unintentionally through inadequate [[Definition:Rating | rating]] segmentation. The concept sits at the heart of fundamental tensions in insurance: between [[Definition:Risk-based pricing | risk-based pricing]] and affordability, between actuarial precision and regulatory mandates for solidarity, and between competitive market dynamics and equitable access to coverage.

⚙️ Cross-subsidisation takes root through several mechanisms. In [[Definition:Tariff rating | tariff-rated]] or community-rated markets — such as many [[Definition:Health insurance | health insurance]] systems in Europe and parts of Asia, or certain compulsory [[Definition:Motor insurance | motor]] schemes — regulators deliberately prohibit or limit the use of risk factors that would otherwise differentiate premiums, compelling lower-risk participants to subsidize higher-risk ones as a matter of policy. In competitive commercial markets, cross-subsidisation more often results from blunt pricing tools: an insurer using broad [[Definition:Class code | class codes]] without sufficient granularity may inadvertently charge the same rate to meaningfully different risks within a class. [[Definition:Credibility weighting | Credibility weighting]] and [[Definition:Experience rating | experience rating]] partially address this by incorporating individual loss histories, but small or new accounts with limited data remain susceptible to being priced at averages that may over- or under-charge them relative to their true risk profile.

🔍 The competitive consequences of cross-subsidisation can be severe. When an insurer overcharges good risks to cover the shortfall from bad ones, those good risks become targets for competitors with sharper [[Definition:Predictive modeling | predictive models]] — a dynamic actuaries call [[Definition:Adverse selection | adverse selection]] in reverse, or "cream-skimming." The insurer left behind retains a portfolio increasingly skewed toward unprofitable segments, a deterioration that can spiral if not caught early. The rise of [[Definition:Insurtech | insurtech]] and granular data analytics has accelerated this dynamic: companies leveraging [[Definition:Telematics | telematics]], [[Definition:Internet of Things (IoT) | IoT]] data, and [[Definition:Machine learning | machine learning]] can identify and attract the overcharged cohort with precision. For regulators, the challenge is navigating the boundary between eliminating harmful cross-subsidisation (which distorts markets) and preserving beneficial forms (which ensure coverage remains accessible to vulnerable populations). This tension plays out in debates over the use of gender, genetics, credit scores, and other factors in [[Definition:Underwriting | underwriting]] — conversations active in markets from the European Union to Australia to the United States.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Adverse selection]]
* [[Definition:Risk-based pricing]]
* [[Definition:Community rating]]
* [[Definition:Experience rating]]
* [[Definition:De-tariffication]]
* [[Definition:Predictive modeling]]
{{Div col end}}

Definition:Cross-subsidisation - Revision history

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