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Reducing large datasets to improve the identification of estimated policy rules

Bibliographic Data

ID21541985
AuthorsOmer Bayar (University of Evansville, corresponding author)
Year2022
Volume63
Issue1
Pages113-140
Publication date2022-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEmpirical Economics (JOURNAL)
Journal identifiersISSN: 0377-7332 • E-ISSN: 1435-8921
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00181-021-02134-z
OpenAlexW3203544549
LanguageEN
References cited44

Data mining · Econometrics · Economics · Estimation · Macro · Macroeconomics · Monetary policy · Principal component analysis · Thresholding · Computer Science · Italy: Economic History and Contemporary Issues · Market Dynamics and Volatility · Monetary Policy and Economic Impact · Artificial Intelligence

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