Scanner data in inflation measurement: From raw data to price indices

Scanner data offer new opportunities for CPI or HICP calculation. They can be obtained from a wide variety of retailers (supermarkets, home electronics, Internet shops, etc.) and provide information at the level barcode. One advantages using scanner is fact that they contain complete transaction information, i.e. prices quantities every sold item. After clearing unifying product names, products should carefully classified (e.g. into COICOP 5 below), matched, filtered aggregated. challenges connected with appropriate choice index formula. In this article we present proposal implementation individual stages handling data. We also point out potential problems during processing their solutions. compare large number price methods based on real sets verify sensitivity adopted filtering aggregating methods. aims to calculations multilateral indices in terms how time-consuming are. Finally, paper investigates distances between these theoretical, expected value share when are log-normally distributed. It approach providing an additional criterion selection.