Une étude économétrique du nombre d'accidents dans le secteur de l'assurance automobile
The estimation of the number of accidents is one of the most important purposes in the research field of the auto insurance industry. Count data econometric models are usually employed in this process, in particular the traditional Poisson and the negative binomial specifications. Nevertheless, zero-inflated models could be more appropriated solutions. The main objective of this paper is to show the most significant factors in the accidents that are declared by the policyholders. We estimate its number using the data provided by a Spanish private insurance company throughout the different models we have previously pointed out, comparing the obtained results.
Volume (Year): 49 (2006)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://difusion.ulb.ac.be|
More information through EDIRC
References listed on IDEAS
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.:
- Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
- Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
- Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
- Pierre-Andre Chiappori & Bernard Salanie, 2000.
"Testing for Asymmetric Information in Insurance Markets,"
Journal of Political Economy,
University of Chicago Press, vol. 108(1), pages 56-78, February.
- Pierre-André Chiappori & Bernard Salanié, 1997. "Testing for Asymmetric Information in Insurance Markets," Working Papers 97-11, Centre de Recherche en Economie et Statistique.
- Puelz, Robert & Snow, Arthur, 1994. "Evidence on Adverse Selection: Equilibrium Signaling and Cross-Subsidization in the Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 236-257, April.
- Chiappori, Pierre-Andre & Salanie, Bernard, 1997. "Empirical contract theory: The case of insurance data," European Economic Review, Elsevier, vol. 41(3-5), pages 943-950, April.
- Mullahy, John, 1997. "Heterogeneity, Excess Zeros, and the Structure of Count Data Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 337-350, May-June.
When requesting a correction, please mention this item's handle: RePEc:bxr:bxrceb:y:2006:v:49:i:2:p:169-183. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Benoit Pauwels)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.