扫描仪数据:计算消费者价格指数的方法进展和新挑战

M. Leclair, Isabelle Léonard, G. Rateau, P. Sillard, Gaëtan Varlet, Pierre Vernédal
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引用次数: 2

摘要

当消费者在商店收银台付款时,所购商品的条形码(也称为GTINs)会被扫描,在此过程中记录数量和与每个条形码相关联的价格。扫描器数据为构建消费者价格指数提供了一个机会,它可以取代调查数据的使用。根据现有的消费者价格指数概念,扫描数据集所提供的大量和新类型的资料提出了一些新的方法问题,特别是关于收集价格以编制指数、处理质量调整、按同质消费部分分类商品和处理产品重新推出和促销的问题。本文着眼于法国是如何解决这些问题的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scanner Data: Advances in Methodology and New Challenges for Computing Consumer Price Indices
[eng] When consumers pay for their purchases at the store checkout, the barcodes (also known as GTINs) of the goods purchased are scanned, recording quantities and the prices linked to each barcode in the process. Scanner data present an opportunity for use in constructing consumer price indices, which could supersede the use of survey data. Based on the existing concept of consumer price indices, the volume and new types of information provided by scanner datasets raise a number of new methodological questions, in particular in relation to price aggregation to produce indices, handling quality adjustments, classifying goods by homogeneous consumption segment and dealing with product relaunches and promotions. This article looks at how these questions have been addressed in France.
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