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http://hdl.handle.net/1942/39178
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DC Field | Value | Language |
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dc.contributor.author | Happ, Alina | - |
dc.contributor.author | ISLAM, Chris-Gabriel | - |
dc.date.accessioned | 2023-01-09T09:25:55Z | - |
dc.date.available | 2023-01-09T09:25:55Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2022-10-27T14:51:24Z | - |
dc.identifier.citation | Proceedings 63rd ISI World Statistics Congress, | - |
dc.identifier.uri | http://hdl.handle.net/1942/39178 | - |
dc.description.abstract | Statistics about regional price levels in Germany are rare due to the lack of suitable data in official statistics so far. Regional price indices, however, are of major importance in order to determine intra-and international wealth differences or to compare for regional economic power. Using newly acquired scanner data of the German Federal Statistical Office, this work examines how prices for food and beverages differ regionally in the year 2017 on NUTS 3 level by calculating a multilateral GEKS-Fisher-Index. Subsequently, we perform an exploratory multiple linear regression in order to find the most important drivers for high regional prices. We find that price levels rise with local average income and wage, with population growth and with the area of the respective NUTS 3 region. In contrast, price levels decrease with the amount of competition and are, ceteris paribus, lower in Western Germany. Lastly, we merge our data with income data of the Sample Survey of Income and Expenditure (EVS) and find that regional income inequality measured by the Gini coefficient decreases by 0.0009 when considering regional price disparities. | - |
dc.description.sponsorship | The authors thank Timm Behrmann, Matthias Bieg, Daniel Gorba, Stephan Länge and Dr. Jürgen Schiener. The views expressed in this article are solely those of the authors and do not necessarily reflect those of the mentioned institutions. | - |
dc.language.iso | en | - |
dc.subject.other | Transaction data | - |
dc.subject.other | multilateral index number methods | - |
dc.subject.other | price statistics | - |
dc.subject.other | regional wealth differences | - |
dc.title | The use of scanner data to compile regional price indices in Germany with an outlook to income inequality | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 11.06.-16.06.2021 | - |
local.bibliographicCitation.conferencename | ISI World Statistics Congress | - |
local.bibliographicCitation.conferenceplace | Virtual | - |
local.format.pages | 7 | - |
local.bibliographicCitation.jcat | C2 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.url | https://www.isi-web.org/publications/proceedings | - |
dc.identifier.url | https://www.isi-web.org/files/docs/papers-and-abstracts/193-day4-cps015-the-use-of-scanner-data-to-com.pdf | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Proceedings 63rd ISI World Statistics Congress | - |
local.uhasselt.international | no | - |
item.fullcitation | Happ, Alina & ISLAM, Chris-Gabriel (2021) The use of scanner data to compile regional price indices in Germany with an outlook to income inequality. In: Proceedings 63rd ISI World Statistics Congress,. | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
item.contributor | Happ, Alina | - |
item.contributor | ISLAM, Chris-Gabriel | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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193-day4-cps015-the-use-of-scanner-data-to-com (1).pdf Restricted Access | Published version | 1.15 MB | Adobe PDF | View/Open Request a copy |
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