伪面板数据估计技术与理性成瘾模型:对香烟、酒精和咖啡需求的分析

Pseudo panel data estimation technique and rational addiction model: an analysis of cigarette, alcohol and coffee demands

Agricultural Economics · 2016
被引 9
人大 A-

中文导读

使用伪面板数据方法,在理性成瘾框架下分析香烟、酒精和咖啡的消费关系,发现香烟和咖啡符合理性成瘾模型,而酒精受库存效应影响,且酒精价格上升会减少香烟消费。

Abstract

Abstract We use a pseudo‐panel data approach to analyze the relationship between the consumptions of cigarettes, alcohol, and coffee in a rational addiction framework. We find that while cigarette and coffee demands fit well with the rational addiction model, alcohol demand conforms to a model with inventory effects. The results suggest that alcohol consumption increases the marginal utility derived from consumption of cigarettes. Increasing alcohol prices would decrease not only the consumption of alcohol, but also the consumption of cigarettes. On the other hand, increasing cigarette prices do not have the same effect on consumption of alcohol. The cross‐price elasticity of coffee with respect to cigarette price is positive and significant which suggests that coffee substitutes for cigarettes when cigarette prices increase. The cross‐price elasticity of alcohol with respect to coffee price is found to be negative and significant. On the other hand, Morishima elasticities of substitution indicate that cigarette, alcohol and coffee substitute each other along the indifference curve when relative prices change.

伪面板数据理性成瘾模型交叉价格弹性替代品