Derived Demand Estimation with Survey Experiments: Commercial Electric Vehicles
利用调查实验数据，估计商业部门对电动卡车的派生需求函数，发现企业对新技术和价格结构有较强适应能力，愿意接受续航限制以降低成本。
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.