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dc.contributor.authorDamjanovic, Tatiana
dc.contributor.authorGirdenas, Sarunas
dc.contributor.authorLiu, Keqing
dc.date.accessioned2015-05-19T14:00:04Z
dc.date.issued2015
dc.description.abstractIn this paper, we consider a model where producers set their prices based on their prediction of the aggregated price level and an exogenous variable, which can be a demand or a cost-push shock. To form their expectations, they use OLS-type econometric learning with bounded memory. We show that the aggregated price follows the random coefficient autoregressive process and we prove that this process is covariance stationary.en_GB
dc.identifier.citationVol. 130, pp. 93 - 96en_GB
dc.identifier.doi10.1016/j.econlet.2015.03.011
dc.identifier.urihttp://hdl.handle.net/10871/17257
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttp://www.journals.elsevier.com/economics-letters/en_GB
dc.relation.urlhttp://business-school.exeter.ac.uk/documents/papers/economics/2015/1502.pdfen_GB
dc.subjectC22en_GB
dc.subjectC53en_GB
dc.subjectC62en_GB
dc.subjectD83en_GB
dc.subjectE31en_GB
dc.subjectEconometric learningen_GB
dc.subjectBounded memoryen_GB
dc.subjectRandom coefficient autoregressive processen_GB
dc.subjectStationarityen_GB
dc.titleStationarity of econometric learning with bounded memory and a predicted state variableen_GB
dc.typeArticleen_GB
dc.date.available2015-05-19T14:00:04Z
dc.identifier.issn0165-1765
dc.descriptionNOTICE: this is the author’s version of a work that was accepted for publication in Economics Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economics Letters, Volume 130, May 2015, Pages 93–96. 10.1016/j.econlet.2015.03.011en_GB
dc.descriptionThis version published online in University of Exeter Economics Department Discussion Papers Series, 15/02en_GB
dc.identifier.journalEconomics Lettersen_GB


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