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  • Search: subject:"Inflationnowcasting"
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Year of publication
Subject
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Inflationnowcasting 2 machine learningmethods 2 mixed-frequency modeling 2 scannerprice data 2 Consumer price index 1 Deutschland 1 Estimation 1 Forecasting model 1 Germany 1 Inflation 1 Prognoseverfahren 1 Schätzung 1 Time series analysis 1 Verbraucherpreisindex 1 Zeitreihenanalyse 1
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Online availability
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Free 2
Type of publication
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Book / Working Paper 2
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2
Author
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Beck, Günter W. 2 Carstensen, Kai 2 Menz, Jan-Oliver 2 Schnorrenberger, Richard 2 Wieland, Elisabeth 2
Published in...
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Deutsche Bundesbank Discussion Paper 1 Discussion paper 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany
Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2023
We study how millions of highly granular and weekly household scanner data combined with novel machine learning techniques can help to improve the nowcast of monthly German inflation in real time. Our nowcasting exercise targets three hierarchy levels of the official consumer price index. First,...
Persistent link: https://www.econbiz.de/10014470252
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Cover Image
Nowcasting consumer price inflation using high-frequency scanner data : evidence from Germany
Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2023
We study how millions of highly granular and weekly household scanner data combined with novel machine learning techniques can help to improve the nowcast of monthly German inflation in real time. Our nowcasting exercise targets three hierarchy levels of the official consumer price index. First,...
Persistent link: https://www.econbiz.de/10014467924
Saved in:
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