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Modelling Business Cycle Movements in the UK Economy

Bibliographic Data

ID9725817
AuthorsPaul W Simpson, Denise R Osborn (0000-0001-5534-8926, University of Manchester), Marianne Sensier (0000-0001-8966-2403, University of Manchester)
Year2001
Volume68
Issue270
Pages243-267
Publication date2001-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomica (JOURNAL)
Journal identifiersISSN: 0013-0427 • E-ISSN: 1468-0335
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1468-0335.00244
OpenAlexW2120640128
LanguageEN
Citations received2
References cited7

This paper models the phases of the UK business cycle using GDP data with a time‐varying transition probabilities (TVTP) Markov‐switching regime model and exogenous leading indicator variables. Single indicators in linear models are compared with the TVTP framework, with logistic and exponential functions used in the latter. The Markov‐switching models capture the major recessions of the sample, but the use of leading indicators through the TVTP framework can improve this regime recognition. Finally, a forecast comparison shows that the TVTP models perform relatively well in predicting during the 1990s, particularly when nominal interest rates are used to generate the regime‐switching probabilities

Business cycle · Econometrics · Economic indicator · Economics · Exponential function · Hidden Markov model · Machine learning · Macroeconomics · Markov chain · Recession · Sample (material) · Artificial Intelligence · Computer Science · Economic Theory and Policy · German Economic Analysis & Policies · Mathematics · Monetary Policy and Economic Impact

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Unique citing works2
Citations per year0,09
Citation span2003 - 2005 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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