利用时间序列与截面结合数据估计并检验个体差异

本文利用我国城镇家庭横截面与时间序列结合资料建立了食品消费函数。结果表明地区因素是很重要的食品消费因子。对我国南方与北方家庭进行比较说明,在食品消费方面存在明显差异,因此,部分南方高收入省区的恩格尔系数比北方低收入省区要高。本文仅用五年数据,引入２５个变量,从而消除了时间序列资料不足对经济计量模型应用的局限.

Pooling Cross-section and Time Series in Estimation and Test of the Individual Disparities

In this paper the consumer food spending function is set up on the basis of Chinese urban households data combining cross-section with time series. The results indicate that region factors are very important determinants of food consumption.Comparing the north with the south, there is apparent difference between the households of the south and those of the north on the food consumption, therefore, the Engel coefficient of some hige income provinces in the south are much higher than those of low income provices in the north.Use only five years’data and introduce 25 variables in this article, thus eliminate the limitation of economic measurement model’s application which is due to the deficiency of time series data.