Arbeitspapier
Inflation measurement with high frequency data
The availability of large transaction level datasets, such as retail scanner data, provides a wealth of information on prices and quantities that national statistical institutes can use to produce more accurate, timely, measures of inflation. However, there is no universally agreed upon method for calculating price indexes with such high frequency data, reflecting a lack of systematic evidence on the performance of different approaches. We use a dataset that covers 178 product categories comprising all fast-moving consumer goods over 8 years to provide a systematic comparison of the leading bilateral and multilateral index number methods for computing month-to-month inflation.
- Sprache
-
Englisch
- Erschienen in
-
Series: IFS Working Papers ; No. 23/29
- Klassifikation
-
Wirtschaft
Index Numbers and Aggregation; Leading indicators
Price Level; Inflation; Deflation
- Thema
-
Consumer price index (CPI)
chain drift
multilateral indexes
scanner data
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Fox, Kevin J.
Levell, Peter
O'Connell, Martin
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute for Fiscal Studies (IFS)
- (wo)
-
London
- (wann)
-
2023
- DOI
-
doi:10.1920/wp.ifs.2023.2923
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Fox, Kevin J.
- Levell, Peter
- O'Connell, Martin
- Institute for Fiscal Studies (IFS)
Entstanden
- 2023
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