Estimation of Car Demand in Iranian Market Using Discrete Choice Model

被引：0
|
作者：
Saeedi, Hamid [1 ]
Ardakani, Mohsen Fattahi [2 ]
Shahbazi, Mohammad Javad [2 ]
机构：
[1] TNA Consulting Engn Co, Dept Mkt, Tehran, Iran
[2] TNA Consulting Engn Co, Transportat & Logist Dept, Tehran, Iran
来源：
UKSIM-AMSS FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION | 2010年
关键词：
car demand; discrete choice model; logit; probit; ordered probit; Iranian car Market;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this article, car demand in Iranian market has been estimated. At the first, Total demand function was estimated and The results show that car is a highly elastic commodity in Iran. Its price elasticity coefficient and income elasticity coefficient are 1.3 and 2.93, respectively. Furthermore socio-economical parameters affecting car ownership have been analyzed according to Iran household budget data using Discrete choice Models. This research shows how characteristics of household like residential location of household, gender, literacy, marital status and educational level of head of the household and fuel price variations change the probability of car ownership. Results show that Finally, Socio-Economic Parameters Affecting Household Ownership of Different Classes of Cars Have been Analyzed.
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页码：231 / +
页数：3
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