Modelling the independent insurance agent's product evaluation strategy: An application of conjoint analysis

Nathan D. Kling, Lorne Browne and Earl J. Robinson

Applied Stochastic Models and Data Analysis, 1985, vol. 1, issue 2, 79-91

Abstract: A major property‐casualty insurance company had streamlined underwriting procedures and hoped to design a new commercial insurance package which would appeal to its independent agents. They hoped to do this by improving service times, premium and/or commission, but making these improvements would require the agents to fill out a new underwriting form. The research used conjoint analysis to determine for management the optimum levels of each of the factors to be employed in the new programme and the possible negative impact of the new underwriting form. Also discussed are issues relating to the use of conjoint analysis; in particular, the handling of large factorial designs and the aggregation of individual results.

Date: 1985
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asm.3150010202

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:1:y:1985:i:2:p:79-91

Access Statistics for this article

More articles in Applied Stochastic Models and Data Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().