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Estimation of insurance deductible demand under endogenous premium rates

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<title>Estimation of insurance deductible demand under endogenous premium rates</title>
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<name type="personal" usage="primary" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20140011971">
<namePart>Woodard, Joshua D.</namePart>
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<name type="personal" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20200010968">
<namePart>Yi, Jing </namePart>
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<genre authority="marcgt">periodical</genre>
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<dateIssued encoding="marc">2020</dateIssued>
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<abstract displayLabel="Summary">Government-subsidized insurance is ubiquitous, yet estimation of demand in such markets remains challenging. The premium charged for a given deductible is determined by actuarial construction; thus, observed choice pairs are endogenous leading to biased estimation under standard econometric approaches. A theoretical model and simulation study are developed, and a new identification strategy proposed. An empirical application using Federal Crop Insurance Program-a $100 billion/year program-data reveals that demand is quite elastic after accounting for this endogeneity. Mistreatment of such endogeneity is likely partly responsible for pervasive faulty findings of inelastic insurance demand in related applications. Policy implications are also discussed.</abstract>
<note type="statement of responsibility">Joshua D. Woodard, Jing Yi</note>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080584580">
<topic>Demanda de seguros</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080586294">
<topic>Mercado de seguros</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080579258">
<topic>Cálculo actuarial</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080602642">
<topic>Modelos de simulación</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080602659">
<topic>Modelos econométricos</topic>
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<title>The Journal of risk and insurance</title>
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<publisher>Nueva York : The American Risk and Insurance Association, 1964-</publisher>
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<identifier type="issn">0022-4367</identifier>
<identifier type="local">MAP20077000727</identifier>
<part>
<text>01/06/2020 Volumen 87 Número 2 - junio 2020 , p. 477-500</text>
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