Joint Mixed Logit Models of Stated and Revealed Preferences for Alternative- fuel Vehicles

We compare multinomial logit and mixed logit models for data on California households’ revealed and stated preferences for automobiles. The stated preference data elicited households’ preferences among gas, electric, methanol, and CNG vehicles with various attributes. The mixed logit models provide a much better fit to these data, and forecasting exercises demonstrate substantial differences between logit and mixed logit model forecasts. ACKNOWLEDGEMENTS: Tom Golob helped collect the data and conducted preliminary analyses upon which our analysis relies. We are grateful to him for allowing us to use these data. Hongyan Sheng provided invaluable assistance with preparing the data for analysis. Collection of the data used in this paper was financed by Southern California Edison Co,. Pacific Gas and Electric Co., and the California Energy Commission. Of course, none of these people or agencies are responsible for any errors or representations that we make in this paper.