The efficiency of voluntary risk classification in insurance markets
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20210022654 | ||
| 003 | MAP | ||
| 005 | 20210719090543.0 | ||
| 008 | 210714e20210911esp|||p |0|||b|spa d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a7 | ||
| 100 | 1 | $0MAPA20080189150$aCrocker, Keith J. | |
| 245 | 1 | 0 | $aThe efficiency of voluntary risk classification in insurance markets$cKeith J. Crocker, Nan Zhu |
| 520 | $aIt has been established that categorical discrimination based on observable characteristics such as gender, age, or ethnicity enhances efficiency. We consider a different form of risk classification when there exists a costless yet imperfectly informative test of risk type, with the test outcome unknown to the agents ex ante. We show that a voluntary risk classification in which agents are given the option to take the test always increases efficiency compared with no risk classification. Moreover, voluntary risk classification also Pareto dominates a regime of compulsory risk classification in which all agents are required to take the test. | ||
| 650 | 4 | $0MAPA20210011108$aRiesgo | |
| 650 | 4 | $0MAPA20080548575$aPérdidas | |
| 650 | 4 | $0MAPA20120026414$aEficiencia operacional | |
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080579258$aCálculo actuarial | |
| 700 | $0MAPA20110028862$aZhu, Nan | ||
| 773 | 0 | $wMAP20077000727$tThe Journal of risk and insurance$dNueva York : The American Risk and Insurance Association, 1964-$x0022-4367$g01/06/2021 Volumen 88 Número 2 - junio 2021 , p. 325-350 |