Demand for food-away-from-home: a multiple-discrete-continuous extreme value model
使用NPD公司的新数据集和多重离散连续极值模型，估计了四种外出就餐类型的需求价格弹性，发现交叉价格弹性很小，消费者不愿在家就餐与外出就餐或不同外出就餐类型之间替代，因此对快餐征税可能有效减少快餐消费并转向在家就餐。
Policymakers have suggested the use of taxes to raise the relative cost of buying fast food. Yet, little is known of the structure of demand for food-away-from-home (FAFH) in general. This study provides estimates of the price-elasticity of demand for four different types of FAFH using a new data set from NPD, Inc. and an econometric approach that accounts for the multiple-discrete–continuous nature of FAFH demand. We find that cross-price elasticities of demand are small, so consumers are unwilling to substitute between food-at-home and any type of FAFH or among types of FAFH. Therefore, taxing fast food may be effective in reducing the number of fast food visits and shifting consumption to at-home meals.