360
Views
13
CrossRef citations to date
0
Altmetric
Articles

Double chain ladder, claims development inflation and zero-claims

, , &
Pages 383-405 | Accepted 04 Jul 2013, Published online: 19 Aug 2013
 

Abstract

Double chain ladder demonstrated how the classical chain ladder technique can be broken down into separate components. It was shown that under certain model assumptions and via one particular estimation technique, it is possible to interpret the classical chain ladder method as a model of the observed number of counts with a built-in delay function from when a claim is reported until it is paid. In this paper, we investigate the double chain ladder model further and consider the case when other knowledge is available, focusing on two specific types of prior knowledge, namely prior knowledge on the number of zero-claims for each underwriting year and prior knowledge about the relationship between the development of the claim and its mean severity. Both types of prior knowledge readily lend themselves to be included in the double chain ladder framework.

Acknowledgments

This research was financially supported by a pump-priming grant by the Actuarial Profession. The first author is also supported by the Spanish Ministerio de Ciencia e Innovación, Project MTM2008-03010 and the European Commission under the Marie Curie Intra-European Fellowship FP7-PEOPLE-2011-IEF Project number 302600. All the calculations in the paper were performed in R (R Development Core Team 2011). R-scripts to reproduce the results in this paper are available on request by email to the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 147.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.