“They do know what they are doing... at least most of them.” Asymmetric Information in the (private) Disability Insurance
AbstractIn this paper we analyze asymmetric information in the (private) disability insurance, which has not been analyzed before in the literature, but covers one of the most important risks faced by individuals in modern society, namely the loss of human capital. We show that there is asymmetric information, but the extent depends on the amount of coverage. Moreover, the option of choosing an annual adjustment of the insured sum has strong predictive power both for the occurrence of an accident and the chosen coverage, although it should be irrelevant from the point of theory. This result shows new ways to design contracts and variable selection for risk classification. In contrast to most previous studies, we also explicitly take into consideration unobserved heterogeneity by applying finite mixture models and so called ‘unused’ observables.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy in its series MEA discussion paper series with number 12260.
Date of creation: 24 May 2013
Date of revision:
Contact details of provider:
Postal: Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy, Amalienstraße 33, 80799 München, Germany
Web page: http://www.mea.mpisoc.mpg.de/
Find related papers by JEL classification:
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Spindler, Martin & Winter, Joachim & Hagmayer, Steffen, 2012. "Asymmetric Information in the Market for Automobile Insurance: Evidence from Germany," MEA discussion paper series 12259, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
- de Meza, David & Webb, David C, 2001.
"Advantageous Selection in Insurance Markets,"
RAND Journal of Economics,
The RAND Corporation, vol. 32(2), pages 249-62, Summer.
- Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006.
"Asymmetric information in insurance: general testable implications,"
RAND Journal of Economics,
RAND Corporation, vol. 37(4), pages 783-798, December.
- Pierre-André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2002. "Asymmetric Information in Insurance : General Testable Implications," Working Papers 2002-42, Centre de Recherche en Economie et Statistique.
- Li Gan & Feng Huang & Adalbert Mayer, 2011. "A Simple Test of Private Information in the Insurance Markets with Heterogeneous Insurance Demand," NBER Working Papers 16738, National Bureau of Economic Research, Inc.
- Bengt Holmstrom, 1979.
"Moral Hazard and Observability,"
Bell Journal of Economics,
The RAND Corporation, vol. 10(1), pages 74-91, Spring.
- G. Dionne & N. Doherty & N. Fombaron, 2000.
"Adverse Selection in Insurance Markets,"
THEMA Working Papers
2000-21, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Amy Finkelstein & James Poterba, 2006. "Testing for Asymmetric Information Using 'Unused Observables' in Insurance Markets: Evidence from the U.K. Annuity Market," NBER Working Papers 12112, National Bureau of Economic Research, Inc.
- Alma Cohen & Peter Siegelman, 2009.
"Testing for Adverse Selection in Insurance Markets,"
NBER Working Papers
15586, National Bureau of Economic Research, Inc.
- Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84.
- Shavell, Steven, 1979. "On Moral Hazard and Insurance," The Quarterly Journal of Economics, MIT Press, vol. 93(4), pages 541-62, November.
- Liangjun Su & Martin Spindler, 2013. "Nonparametric Testing for Asymmetric Information," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 208-225, April.
- Gourieroux, Christian & Monfort, Alain & Renault, Eric & Trognon, Alain, 1987. "Generalised residuals," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 5-32.
- Marc Henry & Yuichi Kitamura & Bernard Salanié, 2010.
"Identifying Finite Mixtures in Econometric Models,"
0910-20, Columbia University, Department of Economics.
- Bettina Grün & Friedrich Leisch, . "FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters," Journal of Statistical Software, American Statistical Association, vol. 28(i04).
- Rothschild, Michael & Stiglitz, Joseph E, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, MIT Press, vol. 90(4), pages 630-49, November.
- Akerlof, George A, 1970. "The Market for 'Lemons': Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, MIT Press, vol. 84(3), pages 488-500, August.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Henning Frankenberger).
If references are entirely missing, you can add them using this form.