少点错误 2024年12月23日
Non-Obvious Benefits of Insurance
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文章探讨了将复杂问题简化为数学模型进行分析的方法,并以保险为例,指出这种方法在实际应用中可能存在的局限性。文章认为,虽然可以通过数学模型计算出最优的保险购买策略,但现实中的保险往往具有模型未能考虑的重要属性,如集体议价能力、风险管理专业性、风险分担以及作为替罪羊等作用。因此,在应用数学模型时,需要结合实际情况进行考虑,避免在模型不适用的情况下做出错误决策。

🤝 保险具有集体议价能力:健康保险通常包含与医疗服务提供商达成的较低价格,即使个人财力雄厚,为了获得这些协商后的优惠价格,购买保险仍然是值得的。

👨‍💼 保险公司更擅长风险管理:保险公司在风险规避方面通常比个人更专业,例如,房屋保险公司会要求投保人采取措施降低风险,这体现了保险公司在专业知识上的优势。

⚖️ 保险可以明确风险责任:保险能揭示人们对风险评估的差异,并迫使他们在资产负债表上明确承担责任,有助于更清晰地认识和管理风险。

🛡️ 保险作为一种责任分担机制:当保险公司拒绝某些治疗时,社会倾向于责怪保险公司而不是父母,这使得保险公司在控制成本的同时,个人无需承担痛苦的决策责任。

📜 保险可以预先处理多种情景:在一些情况下,人们难以就如何处理突发状况达成一致,而保险可以预先约定处理方案,例如,宠物健康保险可以简化共同承担宠物医疗费用的决策过程。

Published on December 23, 2024 3:40 AM GMT

An incredibly productive way of working with the world is to reduce acomplex question to something that can be modeled mathematically andthen do the math. The most common way this can fail, however, is whenyour model is missing important properties of the real world.

Consider insurance: there's some event with probability X% under whichyou'd be out $Y, you want to maximize the logarithm of your wealth,and your current wealth is $Z. Under this model, you can calculate (more)the most you should be willing to pay to insure against this.

This is a nice application of the Kellycriterion, though whether maximizing log wealth is a good goal isarguable (ex: bankruptcy is notinfinitely bad, the definition of 'wealth' for this purpose is tricky).But another one thing it misses is that many things we call"insurance" have important properties that diverge from this model:

There are still cases where the model is useful: none of thesebenefits would apply to insuring my mandolin, computer, or a flight,and none of these are a large enough portion of my wealth for thecalculator to say I should get the insurance. But if you apply themodel without thinking about how well it applies in a particular caseit will often tell you not to buy insurance in cases where insurancewould actually help.

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保险 数学模型 风险管理 集体议价 责任分担
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