用扫描仪数据分析法国地区和城市之间价格水平的空间差异

Isabelle Léonard, P. Sillard, Gaëtan Varlet, J.-P. Zoyem
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引用次数: 6

摘要

这项研究基于2013年每天发送给Insee的大型零售商的扫描仪数据。其目的是计算衡量法国大都市不同地区消费者价格水平差异的指数,特别关注超市销售的食品。建立了基于商品价格对条码和区域模型回归的快乐指数。在不同的周内进行了几次评估,一周的数据已经提供了很高的准确性。地区或大城市之间价格水平的差异是有限的,而且在大多数情况下,对周的选择是强有力的。价格最高的是巴黎地区和科西嘉岛,其幅度相差几个百分点。将这些新发现与法国国家统计局1970年至2000年间的研究进行比较后发现,法国大都市不同地区的食品价格差异基本上是结构性的,随着时间的推移变化不大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spacial Differences in Price Levels between French Regions and Cities with Scanner Data
[eng] This study is based on scanner data from large retailers sent daily to Insee in 2013. Its aim is to calculate indices that measure differences in consumer price levels between different areas of metropolitan France, focusing specifically on food products sold in supermarkets. A hedonic index based on the regression of the product price on barcode and territory dummies is developed. Several assessments are carried out over different weeks, with one week of data already providing a great degree of accuracy. The dispersion of price levels between regions or large conurbations is limited and, for the most part, robust to the choice of week. The highest prices are found in the Paris region and Corsica, with a magnitude of differences in the order of a few percentage points. A comparison of the new findings with research conducted by Insee between 1970 and 2000 shows that differences in food prices across different areas of metropolitan France are essentially structural and change little over time.
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