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质量调整是指对某种产品或服务项目的观察价格进行调整的程序,以排除该项目在一段时间内由于质量变化对价格的影响,从而有可能识别纯价格变化。本文将引起质量偏差的数据模式定义为随机缺失、单调缺失和隐性缺失三种,并针对不同的数据模式提出了选用不同调整方法的基本思路。同时,就我国价格指数的改革提出了合理化的建议。
Quality adjustment refers to the process of adjusting the observed price of a product or service item to exclude the effect of the quality of the item on price over a period of time, thereby making it possible to identify changes in the price of pure goods. This paper defines the data model which causes quality deviation as random missing, monotonic missing and recessive missing, and puts forward the basic idea of choosing different adjustment methods according to different data patterns. At the same time, we put forward reasonable suggestions on the reform of our country’s price index.