@techreport{6683a79b085545fa99224bf290fdb82b,
title = "Improving predictive validity of choice-based conjoint models",
abstract = "Up to date, it is unclear how Choice-Based Conjoint (CBC) models perform in terms of forecasting (external) real world aggregate shop data. In this contribution, we measure the performance of a Latent Class CBC model - not with an experimental holdout sample - but with aggregate real world scanning data. We find that the CBC model does not accurately predict real world market shares. In order to improve the forecasting performance, we propose a correction scheme based on external scanner data. Our analysis based on 8 brands shows that the use of the proposed correction vector improves the performance measure considerably. (author's abstract)",
author = "Martin Natter and Markus Feurstein",
year = "2000",
doi = "10.57938/6683a79b-0855-45fa-9922-4bf290fdb82b",
language = "English",
series = "Working Papers SFB {"}Adaptive Information Systems and Modelling in Economics and Management Science{"}",
number = "50",
publisher = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
edition = "May 2000",
type = "WorkingPaper",
institution = "SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business",
}