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Self-insurance, self-protection, and saving : on consumption smoothing and risk management

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<title>Self-insurance, self-protection, and saving</title>
<subTitle>: on consumption smoothing and risk management</subTitle>
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<genre authority="marcgt">periodical</genre>
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<dateIssued encoding="marc">2016</dateIssued>
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<abstract displayLabel="Summary">This article studies the effect of risk preferences on self-insurance and selfprotection in a two-period expected utility framework. Here the investment to reduce risk precedes its effect. In contrast to single-period models, selfinsurance and self-protection react similarly when the agent's utility function becomes more concave. Effort is increased if and only if current consumption is sufficiently large. However, if we introduce endogenous saving, an agent with more concave utility always selects more self-insurance, but will select more self-protection if and only if the probability of loss is small enough. These latter results concur with those in standard monoperiodic models with no saving.</abstract>
<note type="statement of responsibility">Annette Hofmann, Richard Peter</note>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080591182">
<topic>Gerencia de riesgos</topic>
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<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080553326">
<topic>Autoseguro</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080568016">
<topic>Autoprotección</topic>
</subject>
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<topic>Ahorro</topic>
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<topic>Modelos de planificación</topic>
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<classification authority="">7</classification>
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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>05/09/2016 Volumen 83 Número 3 - septiembre 2016 , p. 719-734</text>
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<recordChangeDate encoding="iso8601">20160921170713.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20160027044</recordIdentifier>
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