Assessing shrinkflation and inflation by income groups in the German HICP
Sector: Government • Location: Germany
Source: EU Funding & Tenders Portal
On-site data collected for CPI/HICP production offer an excellent opportunity to examine the extent and frequency of changes in package size / content. The effects of product relaunches with product size changes in the sample of on-site price collection of products in COICOP 01 and 02 – which are mostly in the focus of media coverage regarding shrinkflation – will be examined. The analysis will be
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | forthcoming |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | On-site data collected for CPI/HICP production offer an excellent opportunity to examine the extent and frequency of changes in package size / content. The effects of product relaunches with product size changes in the sample of on-site price collection of products in COICOP 01 and 02 – which are mostly in the focus of media coverage regarding shrinkflation – will be examined. The analysis will be extended to drugstore articles in different COICOP divisions and to other goods/services that might be subject to shrinkflation or similar changes in size or content. The vast amount of data collected with the integration of retailer scanner data into the German CPI/HICP is a chance to develop methods to measure inflation by income groups. The amount of data is linked to chances in this field, as it makes additional information available, but also brings its challenges as there is the need to divide the data to different groups automatically. Overall the project will help to improve the data collection methods and the process of producing the HICP-results. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
