The Appropriateness of Conditional Logit for the Modeling of Residential Fuel Choice
作者开发了一个似然比检验，发现条件Logit模型在预测住宅燃料选择时被数据拒绝，而广义Logit模型因考虑价格、可得性等因素更为适用。
The author develops a likelihood test to see if conditional logit in aggregate energy-choice models is appropriate for predicting the probability that alternative residential fuels will be purchased. Among the array of probability models available, the conditional logit model is the least valid because it is rejected by the data. Generalized logit models are more useful because they consider price, availability, and other factors. 27 references, 1 table.