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dc.contributor.authorMitra, Kaushik
dc.contributor.authorEvans, George W.
dc.contributor.authorHonkapohja, Seppo
dc.date.accessioned2016-10-17T23:34:03Z
dc.date.available2016-10-17T23:34:03Z
dc.date.issued2019-01
dc.identifier246755262
dc.identifierae6e3e18-6731-4aa0-a2d0-bb70c214ef76
dc.identifier85023186978
dc.identifier000461045600009
dc.identifier.citationMitra , K , Evans , G W & Honkapohja , S 2019 , ' Fiscal policy multipliers in an RBC model with learning ' , Macroeconomic Dynamics , vol. 23 , no. 1 , pp. 240-283 . https://doi.org/10.1017/S1365100516001176en
dc.identifier.issn1365-1005
dc.identifier.urihttps://hdl.handle.net/10023/9677
dc.descriptionThis work was supported by ESRC Grant RES-062-23-2617 and National Science Foundation Grant no. SES-1025011.en
dc.description.abstractUsing the standard real business cycle model with lump-sum taxes, we analyze the impact of fiscal policy when agents form expectations using adaptive learning rather than rational expectations (RE). The output multipliers for government purchases are significantly higher under learning, and fall within empirical bounds reported in the literature, which is in sharp contrast to the implausibly low values under RE. Positive effects of fiscal policy are demonstrated during times of economic stress like the recent Great Recession. Finally it is shown how learning can lead to consumption and investment dynamics empirically documented during some episodes of “fiscal consolidations.”
dc.format.extent585523
dc.language.isoeng
dc.relation.ispartofMacroeconomic Dynamicsen
dc.subjectGovernment purchasesen
dc.subjectExpectationsen
dc.subjectOutput multiplieren
dc.subjectFiscal consolidationen
dc.subjectTaxationen
dc.subjectHB Economic Theoryen
dc.subjectNDASen
dc.subjectBDCen
dc.subject.lccHBen
dc.titleFiscal policy multipliers in an RBC model with learningen
dc.typeJournal articleen
dc.contributor.sponsorEconomic & Social Research Councilen
dc.contributor.institutionUniversity of St Andrews. School of Economics and Financeen
dc.identifier.doi10.1017/S1365100516001176
dc.description.statusPeer revieweden
dc.identifier.grantnumberRES-062-23-2617en


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