Development of utility function for vehicle insurance: Comparison of logarithmic goal programming method and conjoint analysis method

Abstract

The increase in competition among the vehicle insurance sectors has increased the number of policy options available in the market. This study focuses on the development of a utility function for these policies that will aid policy holders and potential investors in comparing them based on various attributes. A comparison of various vehicle insurance policies can help the customers to compare and choose a vehicle insurance that is suitable to them. Although there are several methods for developing a utility function, in this study, we intend to develop a linear utility model for vehicle insurance policies using two approaches: Logarithmic Goal Programming Model (LGPM) and Conjoint Analysis Method (CAM). We propose to compare the similarities and differences between the results obtained from LGPM and CAM approaches, used for developing the utility function for vehicle insurance policies. We also derive a choice probability of the vehicles insurance policies available in market by developing a multinomial logit choice model. We also study the consistency indicators of the respondents. We will provide useful insights for the use both approaches as research tools.