Accounting for response behavior heterogeneity in the measurement of attitudes: an application to demand for electric vehicles
Hybrid choice models have proved to be a powerful framework that integrates attitudinal and perceptional data into discrete choice models. However the measurement component of such a framework often fails to exploit individual-specific information that might affect the way subjects answer to indicators of opinion. In this paper we propose an HCM with a measurement model that takes into account heterogeneity in the response behavior. Precisely, we capture effects of exaggeration in answers to psychometrics. We moreover provide an application of this model to the evaluation of the future demand for electric vehicles.
Record created on 2014-01-20, modified on 2017-02-16