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	<title>Definition:Selection - Revision history</title>
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	<updated>2026-04-29T19:43:10Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Selection&amp;diff=11815&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🔍 &amp;#039;&amp;#039;&amp;#039;Selection&amp;#039;&amp;#039;&amp;#039; refers to the tendency of insurance applicants or policyholders to make choices — about whether to buy coverage, how much to buy, or when to file claims — based on their private knowledge of their own risk profile. In [[Definition:Underwriting | underwriting]] and [[Definition:Actuarial science | actuarial]] contexts, the term most commonly appears as &amp;quot;adverse selection&amp;quot; or &amp;quot;anti-selection,&amp;quot; describing the phenomenon where individuals who expect higher-than-average losses are disproportionately drawn to purchase or retain insurance. The concept sits at the heart of how insurers price, design, and distribute products.&lt;br /&gt;
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⚙️ Insurers manage selection through a combination of [[Definition:Risk classification | risk classification]], [[Definition:Medical underwriting | medical underwriting]], policy design features like [[Definition:Deductible | deductibles]] and [[Definition:Waiting period | waiting periods]], and enrollment rules such as open-enrollment windows in [[Definition:Group insurance | group insurance]]. When a [[Definition:Insurance carrier | carrier]] offers a generous product without adequate controls, lower-risk individuals may opt out or choose cheaper alternatives, leaving the pool skewed toward higher-cost members — a dynamic sometimes called a &amp;quot;death spiral.&amp;quot; Conversely, favorable selection occurs when an insurer&amp;#039;s underwriting or pricing inadvertently attracts healthier or lower-risk populations, temporarily boosting [[Definition:Loss ratio (L/R) | loss ratio]] performance but potentially masking future volatility.&lt;br /&gt;
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💡 Getting selection dynamics right is arguably one of the most consequential challenges in insurance. Misjudging who is entering the risk pool can erode [[Definition:Profitability | profitability]] far faster than incorrect trend assumptions or poor [[Definition:Claims management | claims management]]. Regulators also pay close attention: in markets like [[Definition:Health insurance | health insurance]], rules around [[Definition:Guaranteed issue | guaranteed issue]] and [[Definition:Community rating | community rating]] exist precisely because unchecked selection can make coverage unavailable or unaffordable for high-risk individuals. For [[Definition:Insurtech | insurtech]] companies leveraging new data sources and [[Definition:Predictive analytics | predictive analytics]], the ability to refine selection — without crossing regulatory or ethical lines — represents both a competitive advantage and a reputational risk.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Adverse selection]]&lt;br /&gt;
* [[Definition:Risk classification]]&lt;br /&gt;
* [[Definition:Underwriting]]&lt;br /&gt;
* [[Definition:Moral hazard]]&lt;br /&gt;
* [[Definition:Community rating]]&lt;br /&gt;
* [[Definition:Experience rating]]&lt;br /&gt;
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