Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany
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- Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2024. "Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany," Working Paper Series 2930, European Central Bank.
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More about this item
Keywords
Inflationnowcasting; machine learningmethods; scannerprice data; mixed-frequency modeling;All these keywords.
JEL classification:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2024-03-11 (Big Data)
- NEP-EEC-2024-03-11 (European Economics)
- NEP-MAC-2024-03-11 (Macroeconomics)
- NEP-MON-2024-03-11 (Monetary Economics)
Statistics
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