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WO R K I N G PA P E R S E R I E S N O 1732 / S E P T E M B E R 2014 ONE CURRENCY, ONE PRICE? EURO CHANGEOVER-RELATED INFLATION IN ESTONIA
Jaanika Meriküll and Tairi RõõmIn 2014 all ECB publications feature a motif taken from the €20 banknote.NOTE: This Working Paper should not be reported as representing the views of the European Central Bank (ECB). The views expressed are those of the authors and do not necessarily refl ect those of the ECB. Grocery prices in the euro area: Findings from informal ESCN expert group to analsyse a disaggregated price dataset This paper was prepared as part of a Eurosystem project group established to analyse a large-scale disaggregated dataset on grocery prices in the euro area. This proprietary dataset was obtained as a follow up to the 2011 Eurosystem Structural Issues Report (SIR) entitled "Structural features of the distributive trades and their impact on prices in the euro area". The main motivation for obtaining these data was to enable the analysis of a variety of issues that was previously not possible owing to data limitations. More specifi cally (i) analysis of Single Market issues and quantifi cation of border effects (ii) measuring the impact of competition -both at the producer and retail level -on consumer price levels and (iii) consider potential implications for infl ation measurement arising from structural changes in retail sector such as the growing importance of discounters and private label brands.
GROCERY PRICES IN THE EURO AREA: FINDINGS FROM INFORMAL ESCB EXPERT GROUP SET-UP TO ANALYSE A DISAGGREGATED PRICE DATASETThe data were obtained from Nielsen, an international market information and measurement company. The dataset is multi-dimensional with approximately 3.5 million observations each for the price, value and volume variables across a number of dimensions (13 countries; approximately 45 product categories; approximately 70 regions; approximately 10 store types on average per country; 4 brands per product category and 3 stock-keeping units -skus -per brand). The data are generally collected from barcode scanners. These cross country data are unique in a number of respects, in particular in that (a) there are data on average price levels across regions within countries, (b) there is information on both prices and volumes, and (c) there are data on aggregated private label sales and prices. The data have been cross-checked against HICP and PP...