The use of event history analysis to examine insurer insolvencies.: An article from: Journal of Risk and Insurance

This digital document is an article from Journal of Risk and Insurance, published by American Risk and Insurance Association, Inc. on March 1, 1995. The length of the article is 5979 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the supplier: Multivariate discriminant analysis and binary response regression models, which are commonly used to study insurer insolvencies, are flawed because they classify companies into fixed categories of solvent and insolvent companies. A dynamic statistical method called event history analysis was developed and tested by analyzing life and property-liability insurer insolvencies from 1984 to 1990. The results showed that the use of event history analysis enables the identification of statistically significant factors that lead to insurer insolvency.

Citation Details
Title: The use of event history analysis to examine insurer insolvencies.
Author: Yong-Duck Kim
Publication:Journal of Risk and Insurance (Refereed)
Date: March 1, 1995
Publisher: American Risk and Insurance Association, Inc.
Volume: v62 Issue: n1 Page: p94(17)

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