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Uncertain Kingdom

Nowcasting Gross Domestic Product and its revisions

Bibliographic Data

ID21653584
AuthorsNikoleta Anesti (0000-0003-2562-8462, Monetary Analysis Bank of England London UK), Ana Beatriz Galvão (0000-0003-3263-9450, Warwick Business School University of Warwick Coventry UK, corresponding author), Silvia Miranda‐Agrippino (0000-0002-6260-2133, Monetary Analysis Bank of England London UK)
Year2022
Volume37
Issue1
Pages42-62
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Applied Econometrics (JOURNAL)
Journal identifiersISSN: 1099-1255 • E-ISSN: 0883-7252
PublisherWiley (PUBLISHER • GB)
DOI10.1002/jae.2845
OpenAlexW3178189951
LanguageEN
Citations received2
References cited36

We propose a release‐augmented dynamic factor model (RA‐DFM) that allows to quantify the role of a country's data flow in nowcasting both early Gross Domestic Product (GDP) releases and subsequent revisions of official estimates. We use the RA‐DFM to study UK GDP early revision rounds and assemble a comprehensive and novel mixed‐frequency dataset that features 12 years of real‐time data vintages. The RA‐DFM improves over the standard DFM in real time when forecasting the first release each quarter. Economic and survey data help to predict the first revision round

Design for manufacturability · Dynamic factor · Econometrics · Economics · Geography · Gross domestic product · Macroeconomics · Meteorology · Nowcasting · Real gross domestic product · Computer Science · Economic, financial, and policy analysis · Engineering · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact

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Unique citing works2
Citations per year0.67
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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