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Derived Demand Estimation with Survey Experiments: Commercial Electric Vehicles

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  • Hill, Daniel H

Abstract

In this paper the author examines the demand for a hypothetical input, electric over-the-road vehicles, in the commercial sector using data from a survey experiment. This experiment is designed to allow the estimation of theoretically plausible, derived demand functions from either the Translog or the CES production functions. A heteroscedasticity-corrected, two-limit Tobit model is developed and estimated. The results provide evidence of considerable adaptability to new technologies and price structures on the part of firms. They evidently would be willing to cope with the limited traveling range of electric vehicles if these vehicles were able to provide a less costly means of doing business. Copyright 1987 by MIT Press.

Suggested Citation

  • Hill, Daniel H, 1987. "Derived Demand Estimation with Survey Experiments: Commercial Electric Vehicles," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 277-285, May.
    • Handle: RePEc:tpr:restat:v:69:y:1987:i:2:p:277-85
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    Cited by:

    1. Golob, Thomas F & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soheila Soltani & Bunch, David S, 1996. "Commercial Fleet Demand for Alternative-Fuel Vehicles in California," University of California Transportation Center, Working Papers qt5qw4s22v, University of California Transportation Center.
    2. Golob, Thomas F. & Torous, Jane & Bradley, Mark & Brownstone, David & Crane, Soheila Soltani & Bunch, David S., 1997. "Commercial fleet demand for alternative-fuel vehicles in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 219-233, May.
    3. Omori, Yasuhiro & Miyawaki, Koji, 2010. "Tobit model with covariate dependent thresholds," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2736-2752, November.
    4. Becky Loo & S. Wong & Timothy Hau, 2006. "Introducing alternative fuel vehicles in Hong Kong: views from the public light bus industry," Transportation, Springer, vol. 33(6), pages 605-619, November.

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