ASSESSING THE POTENTIAL DEMAND FOR ELECTRIC CARS
ASSESSING THE POTENTIAL DEMAND FOR ELECTRIC CARS
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DOI：
10.1016/0304-4076(81)90056-7
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发表时间：
1981-01-01
影响因子：
6.3
通讯作者：
HAUSMAN, J
中科院分区：
文献类型：
--
作者：
BEGGS, S;CARDELL, S;HAUSMAN, J
一个有序的logit规范用于排名的个人数据，用于分析调查数据的潜在消费者对电动汽车的需求。在经济学和市场营销的许多情况下，我们希望能够预测消费者对尚未出现在实际市场上的商品的需求。通过将商品定义为一组基本属性，我们可以使用离散选择模型来估计消费者的评价。然后，通过使用估计的系数来比较消费者对新产品和现有选择的评价，来预测新产品的需求。当排名的个体数据可用时，我们可以估计每个个体的单独系数，而不是像Logit模型那样假设相同的系数。我们的研究结果表明，相当大的分散在个别系数。这一发现对新产品分析具有重要意义。
An ordered logit specification for use on ranked individual data is used to analyze survey data on potential consumer demand for electric cars. In many situations in economics and marketing we would like to be able to forecast consumer demands for goods which have not yet appeared in actual markets. By defining goods as a bundle of underlying attributes, we can use discrete choice models to estimate consumer evaluations. Then new good demand is forecast by use of the estimated coefficients to compare consumer evaluation of the new good to existing choices. When ranked individual data are available, we can estimate separate coefficients for each individual rather than assuming identical coefficients as is usual with logit models. Our results indicate considerable dispersion in individual coefficients. This finding can have important implications for new product analysis.