The potential use of scanner data in Chinese CPI compilation: Perspectives and related problems
Scanner data has some advantages compared with data collected traditionally. They are beneficial for reducing the CPI biases including the commodity substitution bias, the new goods bias and the quality change bias. They are also helpful for assessing the weighting bias. With scanner data more choices about the aggregate method are available. While scanner data is widely used in the empirical research and some statistical organizations, there is almost no research about the application in China. More researches should be done about how to collect and deal with scanner data in China and how to compile the elementary index with scanner data. Good institutions should be made in order to make use of scanner data more effectively.
scanner data CPI biases quality of CPI
Yanyun Gao
School of Statistics Shanxi University of Finance and Economics, P.R.China, 030006
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-4
2008-08-14(万方平台首次上网日期,不代表论文的发表时间)