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DESPERATE TIMES CALL FOR DESPERATE MEASURES: GOVERNMENT SPENDING MULTIPLIERS IN HARD TIMES

DC Field Value Language
dc.contributor.authorLee, Sokbae-
dc.contributor.authorLiao, Yuan-
dc.contributor.authorSeo, Myung Hwan-
dc.contributor.authorShin, Youngki-
dc.date.accessioned2023-04-19T07:30:56Z-
dc.date.available2023-04-19T07:30:56Z-
dc.date.created2021-07-08-
dc.date.created2021-07-08-
dc.date.created2021-07-08-
dc.date.created2021-07-08-
dc.date.issued2020-10-
dc.identifier.citationEconomic Inquiry, Vol.58 No.4, pp.1949-1957-
dc.identifier.issn0095-2583-
dc.identifier.urihttps://hdl.handle.net/10371/190962-
dc.description.abstractWe investigate state-dependent effects of fiscal multipliers and allow for endogenous sample splitting to determine whether the U.S. economy is in a slack state. When the endogenized slack state is estimated as the period of the unemployment rate higher than about 12%, the estimated cumulative multipliers are significantly larger during slack periods than nonslack periods and are above unity. We also examine the possibility of time-varying regimes of slackness and find that our empirical results are robust under a more flexible framework. Our estimation results point out the importance of the heterogenous effects of fiscal policy and shed light on the prospect of fiscal policy in response to economic shocks from the current COVID-19 pandemic.(JELC32, E62, H20, H62)-
dc.language영어-
dc.publisherBlackwell Publishing Inc.-
dc.titleDESPERATE TIMES CALL FOR DESPERATE MEASURES: GOVERNMENT SPENDING MULTIPLIERS IN HARD TIMES-
dc.typeArticle-
dc.identifier.doi10.1111/ecin.12919-
dc.citation.journaltitleEconomic Inquiry-
dc.identifier.wosid000546096800001-
dc.identifier.scopusid2-s2.0-85087629126-
dc.citation.endpage1957-
dc.citation.number4-
dc.citation.startpage1949-
dc.citation.volume58-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorSeo, Myung Hwan-
dc.type.docTypeArticle-
dc.description.journalClass1-
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  • College of Social Sciences
  • Department of Economics
Research Area Econometrics, Economics, Statistics

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