Modeling the 'Pseudodeductible' in Insurance Claims Decisions

Management Science, Forthcoming

36 Pages Posted: 14 Jun 2005

See all articles by Michael Braun

Michael Braun

Southern Methodist University (SMU) - Marketing Department

Peter Fader

University of Pennsylvania - Marketing Department

Eric Bradlow

University of Pennsylvania - Marketing Department

Howard Kunreuther

National Bureau of Economic Research (NBER); University of Pennsylvania - Wharton Risk Management and Decision Processes Center

Abstract

In many different managerial contexts, customers leave money on the table by, for example, their failure to claim rebates, use available coupons, and so on. This project focuses on a related problem faced by homeowners who may be reluctant to file insurance claims despite the fact their losses are covered. I model this consumer decision by introducing the concept of the pseudodeductible, a latent threshold above the policy deductible that governs the homeowner's claim behavior. We show how the observed number of claims can be modeled as the output of three separate stochastic processes: the rate at which losses occur, the choice of the individual to file or not file a claim on that loss and the size of the losses. Furthermore, we demonstrate that allowing for the possibility of pseudodeductibles enables one to sort out (and make accurate inferences about) these three processes.

We test this model using a proprietary dataset provided by State Farm, the largest underwriter of personal lines insurance in the United States. Using Dirichlet process priors to capture heterogeneity and the interplay among the three processes, we uncover several relevant stories that drive the number of claims and use the pseudodeductible to explain several phenomena in observed customer behavior. For instance, some customers have a small number of losses, but all are filed as claims, while others may experience many more losses, but are more selective about which claims they file. These stories explain several observed phenomena regarding the claims decisions that insurance customers make, and have broad implications for customer lifetime value and market segmentation.

Keywords: Duration models, Dirichlet process priors, insurance claims, semiparametric Bayesian statistics, underreporting

JEL Classification: C12, C15, C24, C42, G22, M3

Suggested Citation

Braun, Michael and Fader, Peter and Bradlow, Eric and Kunreuther, Howard C. and Kunreuther, Howard C., Modeling the 'Pseudodeductible' in Insurance Claims Decisions. Management Science, Forthcoming, Available at SSRN: https://ssrn.com/abstract=742808

Michael Braun (Contact Author)

Southern Methodist University (SMU) - Marketing Department ( email )

United States

Peter Fader

University of Pennsylvania - Marketing Department ( email )

700 Jon M. Huntsman Hall
3730 Walnut Street
Philadelphia, PA 19104-6340
United States

Eric Bradlow

University of Pennsylvania - Marketing Department ( email )

700 Jon M. Huntsman Hall
3730 Walnut Street
Philadelphia, PA 19104-6340
United States
215-898-8255 (Phone)

Howard C. Kunreuther

National Bureau of Economic Research (NBER)

University of Pennsylvania - Wharton Risk Management and Decision Processes Center ( email )

3819 Chestnut Street
Suite 130
Philadelphia, PA 19104
United States
215-898-4589 (Phone)

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
249
Abstract Views
2,887
Rank
241,632
PlumX Metrics