The Hedonic Method towards Higher-Level Compilation of Online CPI

Yadong Huang, Y. Chai, Yi Liu, H. Chu
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Abstract

Traditionally, direct weighting method is adopted in the calculation of price index in a region. Under the online shopping environment, there are significant differences in consumer spending in different E-commerce enterprises, because the business scope, the main commodities, and the target consumers vary a lot in different enterprises. If the direct weighting method is adopted, the price index of an E-commerce enterprise with lower price increase of all commodities may be higher than the one with higher price increase. The solution is there should be diverse weights of commodities in different enterprises. This paper proposes the Hedonic method towards higher-level compilation of online CPI: elementary price index is regarded as a function of enterprise property and commodity property, and price index by category is calculated using least square method. In addition, the linear form and exponential form of Hedonic method are provided. At last, the Hedonic method is tested by calculating the chain and fixed base price index with real data, and the result shows that not only the testing results but also the price index of the linear form and the exponential form are very similar.
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面向网络CPI高层次编制的享乐主义方法
传统上,区域价格指数的计算采用直接加权法。在网络购物环境下,不同电子商务企业的消费者支出存在显著差异,这是因为不同企业的经营范围、主要商品、目标消费者都有很大差异。如果采用直接加权法,则所有商品价格涨幅较低的电子商务企业的价格指数可能高于价格涨幅较高的电子商务企业。解决的办法是不同的企业应该有不同的商品权重。本文提出了在线CPI更高层次编制的Hedonic方法:将初级价格指数作为企业属性和商品属性的函数,采用最小二乘法计算分类价格指数。并给出了Hedonic方法的线性形式和指数形式。最后,用实际数据对Hedonic方法进行了链和定基价格指数的计算,结果表明,不仅测试结果,线性形式和指数形式的价格指数也非常相似。
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