Deriving welfare measures from stated preference discrete choice modelling experiments, CHERE Discussion Paper No 48

Abstract

The use of Stated Preference Discrete Choice Modelling (SPDCM) is gaining currency in the health economics field as a method of eliciting: preferences for goods and services; the rate at which individuals are prepared to trade off different attributes of a good or service; and the willingness to pay for goods and services. The purpose of this paper is to develop welfare measures from SPDCM data that are consistent with microeconomic welfare theory. The theory of welfare measurement using discrete data and links to the more well known literature using continuous data are presented. The estimation of welfare measures obtained from SPDCM and conjoint analysis experiments reported in the health economics literature to date are discussed, focusing on whether commonly adopted measures are consistent with microeconomic welfare theory. Finally, the Hicksian compensating variation is calculated from discrete data collected from a SPDCM experiment designed to elicit patient preferences for preventive asthma medications.Discrete Choice Modelling, conjoint analysis