Stochastic search variable selection in vector error correction models with an application to a model of the UK macroeconomy
Jochmann, Markus and Koop, Gary and Leon-Gonzalez, Roberto and Strachan, Rodney W. (2012) Stochastic search variable selection in vector error correction models with an application to a model of the UK macroeconomy. Journal of Applied Econometrics. ISSN 0883-7252 (https://doi.org/10.1002/jae.1238)
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This paper develops methods for stochastic search variable selection (currently popular with regression and vector autoregressive models) for vector error correction models where there are many possible restrictions on the cointegration space. We show how this allows the researcher to begin with a single unrestricted model and either do model selection or model averaging in an automatic and computationally efficient manner. We apply our methods to a large UK macroeconomic model.
ORCID iDs
Jochmann, Markus, Koop, Gary ORCID: https://orcid.org/0000-0002-6091-378X, Leon-Gonzalez, Roberto and Strachan, Rodney W.;-
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Item type: Article ID code: 35556 Dates: DateEvent2012Published28 March 2011Published OnlineSubjects: Social Sciences > Economic History and Conditions Department: Strathclyde Business School > Economics Depositing user: Pure Administrator Date deposited: 03 Nov 2011 05:22 Last modified: 30 Nov 2024 23:27 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/35556