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GLOBALSHOCKSANDMONETARYPOLICY
TRANSMISSIONIN
EMERGINGMARKETS
NuobuRenzhiandJohnBeirne
NO.726
ADBECONOMICS
May2024
WORKINGPAPERSERIES
ASIANDEVELOPMENTBANK
ADBEconomicsWorkingPaperSeries
GlobalShocksandMonetaryPolicyTransmission
inEmergingMarkets
NuobuRenzhiandJohnBeirne
No.726|May2024
TheADBEconomicsWorkingPaperSeries
presentsresearchinprogresstoelicitcommentsandencouragedebateondevelopmentissuesinAsiaandthePacific.Theviewsexpressed
arethoseoftheauthorsanddonotnecessarilyreflecttheviewsandpoliciesofADBor
itsBoardofGovernorsorthegovernmentstheyrepresent.
NuobuRenzhi(renzhinuobu@)isan
assistantprofessorattheSchoolofEconomics,
CapitalUniversityofEconomicsandBusiness.
JohnBeirne(jbeirne@)isaprincipaleconomist
attheEconomicResearchandDevelopmentImpact
Department,AsianDevelopmentBank.
ASIANDEVELOPMENTBANK
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©2024AsianDevelopmentBank
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ISSN2313-6537(print),2313-6545(PDF)
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DOI:
/10.22617/WPS240272-2
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ABSTRACT
Thispaperempiricallyexaminestheimpactofglobalshocksonmonetarypolicytransmissionin24emergingmarketeconomies(EMEs),usingpanellocalprojectionsovertheperiod2000to2022.Theestimatedresultsshowthatadverseglobalshocks,namelyatighterUnitedStatesmonetarypolicystance,higherglobalfinancialmarketuncertainty,andglobalclimatechange,coulddampenthetransmissionofmonetarypolicyinEMEs.Specifically,theoverallresponsesofindustrialproductionandinflationtomonetarypolicyshocksaremoremutedcomparedtothecasewheretheimpactsofglobalfactorsareisolated.Wealsostudywhethereconomy-specificcharacteristicsacrossEMEsaffectthemonetarypolicytransmissionimpactsofglobalshocks.Theresultssuggestthatahigherleveloffinancialdevelopmentcanpartiallyoffsetthedampeningeffectsofglobalshocks,whileahigherdegreeofcapitalaccountopennessandtradeopenness
furtheramplifytheimpactofglobalshocks.
Keywords:globalshocks,monetarypolicytransmission,emergingmarketeconomies
JELcodes:E52,F4
1.Introduction
Thereisgrowingevidencethatemergingmarketeconomies(EMEs)havebecomemoresynchronizedwithglobalfactorsoverthelast2decades,astheyareincreasinglyintegratedintotheglobaleconomythroughrealandfinanciallinkages(e.g.,DeLeo,Gopinath,andKalemli-Ozcan2022,Miranda-AgrippinoandRey2022).Anaturalquestionthatarisesthenistowhat
extenthastheeffectivenessofmonetarypolicyinEMEsbeenaffectedbytheseglobalfactors?
Despitetheliteraturepayingagreatdealofattentiontotheinternationaltransmissionofexternalshocks,lessisdiscussedontheroleofglobalshocksinthemonetarypolicytransmissionofEMEs.Afewbutgrowingrecentstudiesexaminewhetheraneconomy’sexposuretotheglobalfinancialcycleallowsforeffectivemonetaryindependence(e.g.,Miranda-AgrippinoandRey2020),indicatingthatatighteningUnitedStates(US)monetarypolicyshockmayleadtoadverseeconomicoutcomesinothereconomies,whichchallengesthedegreeofmonetarypolicysovereigntyofopeneconomies.However,thereislessdirectempiricalevidenceonthisissue,particularlyfromtheperspectiveofEMEs.ThispaperaimstofillthisgapintheliteraturebyemployingpanellocalprojectionsasinJordà(2005)toestimateimpulseresponsesofkeymacroeconomicvariablestomonetarypolicyshocksin24EMEs,conditioningonasetofglobalfactors,includingtheUSmonetarypolicystance,globalfinancialmarketuncertainty,andglobal
climatechange.
Toovercomepotentialendogeneityconcerns,weestimateaseriesofidentifiedmonetarypolicyshocksforeachofthe24EMEs.Usingasetofstructuralvectorautoregressive(VAR)models,weorthogonalizeshort-terminterestratechangesagainstthecentralbank’sresponsestocurrentandpastmacroeconomicconditionsbyassumingaTaylor-typeruletoextracttheexogenouscomponent.Theestimatedresidualsthereforecanberegardedasexogenousmonetarypolicyshocks,andthebasisfortheimpulseresponsefunctionanalysis.Weestimatetheresponsesofkeymacroeconomicvariablestotheidentifiedmonetarypolicy
shocksandfindthatindustrialproductionandinflationratedecreaseafteramonetarypolicy
2
tightening.Thesetextbookresultssuggestthevalidityofourmonetarypolicyshock
identification.
ToinvestigatewhetheradverseglobalshockshaveadampeningeffectonthetransmissionofmonetarypolicyinEMEs,weestimateimpulseresponsestomonetarypolicyshocks,conditioningontheseglobalfactors.Theestimatedresultsshowthatadverseglobalshocks,namelyatighterUSmonetarypolicystance,higherglobalfinancialmarketuncertainty,andglobalclimatechange,coulddampenthetransmissionofmonetarypolicyinEMEs.Specifically,theoverallresponsesofindustrialproductionandinflationtothemonetarypolicy
shocksaremoremutedcomparedtothecasewheretheimpactsofglobalfactorsareisolated.
Theseresultsarerobusttoasetofsensitivitychecks,includingalternativemonetarypolicy
measures.
Wealsostudywhethereconomy-specificcharacteristicsacrossEMEscouldaffectmonetarypolicytransmissionagainsttheimpactofglobalshocks.Theresultssuggestthatahigherleveloffinancialdevelopmentcanpartiallyoffsetthedampeningeffectsofglobalshockswhileahigherdegreeofcapitalaccountopennessandtradeopennessmayfurtheramplifythe
impactofglobalshocks.
Overall,theestimatedimpulseresponsesofmonetarypolicyshockssuggestthatadverseglobalshocksimpairtheeffectivenessofmonetarypolicytransmissioninEMEsandthemagnitudeoftheseadverseimpactscanvaryacrossdifferenteconomy-specificcharacteristics.Therefore,policymakersneedtobeawarethatglobalshockscanmakemonetarypolicieslesseffectiveandneedtoensurethatglobalandexternalfactorsareadequatelytakenintoaccountinmonetarypolicydecisionmaking.Policymakerscouldalsostrengthenmacroprudentialregulationsaimedatbuttressingfinancialstability,whichwouldalsohelptomitigatetheimpactof
globalfinancialshocksoneconomicactivityinEMEs.
Thispapercontributestoseveralstrandsoftheliterature.First,itisrelatedtorecent
studiesontheeffectivenessofmonetarypolicytransmissionindevelopingandemergingmarket
3
economies.Severalstudieshavehighlightedtheroleoffinancialdevelopmentandmonetaryregimesintheeffectivenessofmonetarypolicytransmission(e.g.,Mishra,Montiel,andSpilimbergo2012;BulirandVlcek2021).Somestudieshighlighttheincreasingprominenceoftheexchangeratechannelinmonetarypolicytransmission(e.g.,Eklou2023;Brandão-Marquesetal.2020;Gadanecz,Miyajima,andUrban2014).OtherstudiesarguethatthemonetarypolicytransmissioninEMEscouldbeimpairedthroughadisconnectbetweenpolicyratesandshort-
termmarketrates(e.g.,DeLeo,Gopinath,andKalemli-Ozcan2022).
Second,thispapercomplementsafewbutgrowingstudiesontheroleofglobalfactorsinmonetarypolicytransmission.Byinvestigatingtherelationshipbetweenglobalforcesandkeymacroeconomicvariablesoverthe1984–2005period,BoivinandGiannoni(2008)findnoevidenceofachangeintheUSmonetarypolicytransmissionduetoglobalforces.However,Haetal.(2020)findthatmovementsinglobalfactorsplayamajorroleinexplainingdomesticbusinesscyclesinG-7countries.DeLeo,Gopinath,andKalemli-Ozcan(2022)showthatglobalfinancialconditionscouldcauseadisconnectbetweenpolicyratesandshort-termmarketratesinemergingeconomies.Somestudiesshowthatthetransmissionofglobalshocksdependsonindividualeconomies’macroeconomicpoliciesandthedegreeofglobaltradeandfinancialintegration(e.g.,BräuningandSheremirov2023,EhrmannandFratzscher2009).Eklou(2023)findsthatglobalmonetarypolicytighteningcouldcomplementdomesticeffortstoachievepricestabilitybyinducingglobaldisinflation.Ramos-FranciaandGarcia-Verdu(2014)findmixedevidenceontheroleofglobalfactorsthatthepossibilityofstructuralchangeinthepolicyrate,exchangerate,andlong-terminterestratechannelsgenerallydependsontheEMEinquestion.Gadanecz,Miyajima,andUrban(2014)arguethateasymonetaryconditionsinadvanced
economieshaveplayedanimportantroleindeterminingdomesticmonetaryconditionsinEMEs.
Theremainderofthispaperisstructuredasfollows.Section2describesthedataandoutlinestheempiricalmethodology.Section3presentstheempiricalresultswithrobustness
checksandextensions.Section5concludes.
4
2.DataandEmpiricalMethodology
Inthissection,wefirstdescribethedatasourceofvariablesweuseintheempiricalanalysis.Wethendiscusstheidentificationofthemonetarypolicyshocks.Finally,wepresentoureconometric
frameworkusedtoproducetheempiricalresults.
2.1Data
Weuseavailablemonthlydatawithanunbalancedpanelfor24EMEsspanningfrom2000:M1to2022:M12.1ToanalyzethemonetarypolicytransmissioninEMEs,weconsiderthefollowingvariablestoreflectastandardtheoreticalsetup.Wecollectdataontherealindustrialproductionindexasadomesticoutputmeasure,theyear-on-yearchangeoftheconsumerpriceindexasameasureoftheinflationrate,therealeffectiveexchangerateastheexchangeratemeasure,andthe3-monthinterbankrateastheshort-termratemeasure.2ThedataareallfromtheInternationalFinancialStatisticsoftheInternationalMonetaryFund(IMF)andtheBankfor
InternationalSettlements(BIS)database.
Forglobalfactorvariables,weusedatafromavarietyofsources.WeusetheshadowpolicyrateproposedbyWuandXia(2016)asameasureoftheUSmonetarypolicystance,whichreasonablyreflectsbothconventionalandunconventionalmonetarypolicyregimes.WeusetheVIXindexthatstandsfortheChicagoBoardOptionsExchange(CBOE)VolatilityIndex,asameasureofglobalfinancialmarketuncertainty.Tomeasureglobalclimatechange,weusetheyear-on-yeargrowthrateofmonthlyatmosphericcarbondioxideconcentrations,obtainedfrom
theNationalOceanicandAtmosphericAssociationGlobalMonitoringLaboratory.
1TheselectedEMEsincludeArgentina;Brazil;Chile;Colombia;CzechRepublic;Egypt;HongKong,China;Hungary;Indonesia;India;Israel;Mexico;Malaysia;thePeople’sRepublicofChina;Peru;thePhilippines;Poland;theRepublicofKorea;Romania;theRussianFederation;Singapore;Thailand;Türkiye;andSouthAfrica.Thedatastartingyearforaspecificvariablevariesacrosseconomiesduetothedataavailabilityandreliability.
2Asmostcentralbanksareaimingwiththeiropenmarketoperationstocloselyalignaspecificshort-terminterestratewiththeirmonetarypolicystance.
5
AsstructuraleconomycharacteristicsmaybeimportantfortheeffectivenessofmonetarypolicytransmissioninEMEs,wealsoincludethefollowingvariablesinourempiricalanalysis.First,tomeasuretheleveloffinancialdevelopment,weusetheFinancialDevelopmentIndexfromtheIMF,whichsummarizeshowdevelopedfinancialinstitutionsandfinancialmarketsareintermsoftheirdepth,access,andefficiency.Next,wecalculatetradeopennessasthesumofaneconomy’sexportsandimportsrelativetoitsgrossdomesticproduct(GDP),obtainedfromtheIMF’sWorldEconomicOutlook.Finally,weusetheChinn-Itoindexasameasureofaneconomy’sdegreeofcapitalaccountopenness(ChinnandIto2006).Table1presentsthesummarystatistics
ofthemainvariablesusedintheempiricalanalysis.
Table1:SummaryStatistics
Variable
Mean
SD
Min
Max
RealGDP(log)
4.6
0.3
2.0
5.6
Inflation(%)
1.2
1.5
-6.0
21.7
Realeffectiveexchangerate(log)
4.6
0.5
1.6
6.2
Short-terminterestrate(%)
6.1
6.7
-0.1
91.1
USshadowpolicyrate(%)
1.1
2.4
-3.0
6.6
VIX(log)
2.9
0.4
2.3
4.1
Globalclimatechange(%)
0.6
0.2
0.1
1.1
Financialdevelopment(index)
0.4
0.1
0.2
0.7
Tradeopenness(%)
96.2
89.4
27.3
361.8
Capitalaccountopenness(index)
0.01
1.0
-1.3
2.3
GDP=grossdomesticproduct,IMF=InternationalMonetaryFund,US=UnitedStates,VIX=ChicagoBoardOptionsExchangeVolatilityIndex.
Notes:Thetableshowssummarystatisticsforthemainvariablesusedintheempiricalanalysis.Globalclimatechangeismeasuredbytheyear-on-yeargrowthrateofmonthlyatmosphericcarbondioxideconcentrations,obtainedfromtheNationalOceanicandAtmosphericAssociationGlobalMonitoringLaborator.Tradeopennessismeasuredasthesumofaneconomy’sexportsandimportsrelativetoitsGDP,obtainedfromtheIMF’sWorldEconomicOutlook.CapitalaccountopennessismeasuredbytheChinn-Itoindex(ChinnandIto2006).
Source:Authors’calculations.
(2)
…
A=⎢aଶ,ଵ
6
2.2IdentificationofMonetaryPolicyShocks
Asmostofthevariationinthecentralbank’spolicyratesusuallyreflectstheeconomicconditions,itisthereforenecessarytoorthogonalizeshort-termratechangesagainstthecurrentorpasteconomicperformances.Followingthestandardliterature,weassumeaTaylor-typeruletoidentifytheexogenouspartofmonetarypolicyvariations.Astandardapproachistoextracttheresidualsfromathree-variablestructuralVAR(SVAR),wheretheshort-terminterestrateisorderedlastafteroutputandinflationusingaCholeskydecomposition(Christiano,Eichenbaum,andEvans1999).Theestimatedresidualsserveasameasureofmonetarypolicyshocks.Moreover,tohighlighttheimportanceoftheexchangeratechannelofthemonetarypolicytransmissioninemergingeconomies,weincorporatetherealeffectiveexchangerateinouridentificationsetup.Specifically,a4-variableSVARframeworkisusedtoestimatethemonetary
policyshocksforagivenemergingeconomy,whichcanbedenotedasfollows:
Y௧=A(L)Y௧ିଵ+μ௧(1)
whereY௧referstoavectorofourselectedendogenousvariables,includingthelogofrealGDP,inflationrate,thelogofrealeffectiveexchangerate,andtheshort-termrate;A(L)isamatrixofpolynomialsinthelagoperatorL;andμ௧isavectorofdisturbances.TheSVARincludesfourlags,whichareselectedusingtheSchwarzinformationcriterion(SIC).Theidentificationstrategyisbasedonablockrecursiverestriction,whichresultsinthefollowingmatrixAtofitajust-identified
model:
0
aଶ,ଶ
00⋮
⎤⎥⎥
…
⎡aଵ,ଵ
⋱
⋮
⎢⋮
⎣a,ଵa,ଶ…a,⎦
Theorderingofthevariablesimposedintherecursiveformimpliesthatthevariablesat
thetopwillnotbeaffectedbythecontemporaneousshockstothelowervariableswhilethelower
7
variableswillbeaffectedbythecontemporaneousshockstotheuppervariables.WethenplacerealGDPatthetopintheordering,whichimpliesthatitwillonlybeaffectedbycontemporaneousshockstoitself.FollowingrealGDP,weplacetheinflationrate,whichimpliesthattheinflationwillbeaffectedbyrealGDPanditself,butnotbycontemporaneousshockstothepolicyrate.Finally,weplacetheexchangeratebeforetheshort-termrateintheordering,whichisbasedontheassumptionthatthecentralbank’smonetarypolicywillreflectwidereconomicconditions.Figure
1plotstheestimatedmonetarypolicyshockseries.
Figure1:MonetaryPolicyShockSeries
ARG=Argentina;BRA=Brazil;CHL=Chile;COL=Colombia;CZE=CzechRepublic;EGY=Egypt;HKG=HongKong,China;HUN=Hungary;IND=India;INO=Indonesia;ISR=Israel;KOR=RepublicofKorea;MAL=Malaysia;MEX=Mexico;PER=Peru;PHI=Philippines;POL=Poland;PRC=People’sRepublicofChina;ROM=Romania;RUS=RussianFederation;SIN=Singapore;THA=Thailand;TUR=Türkiye;ZAF=SouthAfrica.
Note:Thefigureplotsthemonetarypolicyshockseriesforthesampleofemergingmarketeconomies.Source:Authors’calculations.
8
2.3EconometricMethodology
FollowingtheframeworkproposedbyJordà(2005),weusethepanellocalprojection(LP)toestimatethemodelandcalculateimpulseresponsestoexogenousmonetarypolicyshocks.The
baselinemodelcanbegivenasfollows:
y,௧ା=a,+λ௧+δ,z,௧ି+βsℎock,௧+ε,௧ା,ℎ=0,1,2,⋯,(3)
ୀ
wherei=1,⋯Nreferstothespecificeconomyinthesample,yisthevariableofinterest(e.g.,industrialproductionorinflation),sℎock௧istheseriesofidentifiedmonetarypolicyshocks,zisavectorofcontrolvariablesincludinglaggedvaluesforyandsℎock௧aswellasothercontrolvariables,andδ,isavectorofcoefficientsassociatedwiththelagsofz.Specifically,wesetL=3,thereforeweincludethreemonthsoflaggedvaluesofz.Thecoefficientβgivestheresponseofyattimet+ℎtotheshockattimet.Thus,oneconstructstheimpulseresponsesasasequenceoftheβestimatedinaseriesofseparateregressionsforeachhorizonℎ.adenoteseconomy-specificfixedeffects,controllingforthetime-invariantcharacteristicsoftheeconomy.λ௧representsthetimefixedeffects.3Finally,ε,௧ାdenotesdisturbances.OneparticularcomplicationassociatedwiththeLPmethodistheserialcorrelationintheerrortermsinducedbythesuccessiveleadingofthedependentvariable.Thus,weusetheNewey-West
correctionforourstandarderrors(NeweyandWest1987).
WecanfurtheradapttheLPframeworktoallowfornonlinearitiesinthespecificationthatareassociatedwithglobalshocks.Wethereforemaketheresponseofoutputorinflationtoamonetarypolicyshockalsodependentonthecontemporaneouschangeinglobalfactorsby
interactingtheinterestrateshockwiththechangeinglobalfactors.Thespecificationisasfollows:
3Thetimefixedeffectsalsocontrolforstructuralbreaksduetothecoronavirusdisease(COVID-19)pandemic.
9
y,௧ା=a,+λ௧+δ,z,௧ି+βsℎock,௧+θGF௧×sℎock,௧+σGF௧+ε,௧ା,
ୀ
ℎ=0,1,2,⋯,(
4
)
whereGF௧isavariablerepresentingourkeyglobalfactor,includingtheUSmonetarypolicystance(measuredastheUSshadowpolicyrate),globalfinancialmarketuncertainty(measuredastheVIXindex),andglobalclimatechange(measuredasthegrowthrateofmonthlyatmosphericcarbondioxideconcentrations).Therefore,βhmeasurestheresponseofoutputorinflationtothemonetarypolicyshockateachhorizon(month)hwhentheglobalshocksareisolated,andβh+σθhrepresentsthetotaleffectsofmonetarypolicyshockswhenweconsider
theimpactofglobalshocks.
Toinvestigatewhethereconomy-specificcharacteristicsmatterformonetarypolicytransmission,wedivideEMEsintogroupsaccordingtotheirlevelsoffinancialdevelopment,tradeopenness,andcapitalaccountopennessandestimateseparateimpulseresponsesforeachgroup.Regardingtheestimationoflocalprojections,weincorporateadummyvariableIthattakesavalueof1forEMEswherebytheirlevelofeconomy-specificcharacteristic(e.g.,financialdevelopment,tradeopenness,orcapitalaccountopenness)fallswithinacertainlevelm∈Mof
theireconomy-specificcharacteristicdistributions.FollowingCloyneetal.(2023),weextendthe
localprojectionasfollows:
y,௧ା=a,+λ௧+I[δz,௧ି+βsℎock,௧+θGF௧×sℎock,௧+σGF௧]+ε,௧ା,
∈ெୀ
ℎ=0,1,2,⋯,(5)
wherethenotationisasinEq.(4).
10
3.EmpiricalResults
3.1MacroeconomicEffectsofMonetaryPolicyShocks
Beforeshowingtheestimationresultsfortheimpactsofglobalfactorsonthemonetarypolicytransmission,wefirstpresenttheresponsesofkeymacroeconomicvariables,namelyindustrialproductionandinflation,totheestimatedmonetarypolicyshocksbyassumingthatthespilloversofglobalfactorsareisolated.Thisisnotonlytoreassurethevalidityofouridentificationstrategybutalsotoprovideabenchmarkagainstwhichwecanevaluatetheimpactofdifferentglobalshocks.Figure2showstheestimatedimpulseresponsesbasedonthelinearmodelofEq.(3).Thesolidlineineachgraphrepresentstheestimatedimpulseresponsesinpercentagepointsoverthefollowing14monthstoacontractionarymonetarypolicyshock.Wenormalizedthescaleofthemonetarypolicyshocksuchthatitincreasestheshort-terminterestrateby100basispoints(bps).Thedottedlinesrepresent95%confidencebandsbasedonrobuststandarderrorsby
NeweyandWest(1987).
Figure2:ImpulseResponsesofMacroeconomicVariablestoaContractionaryMonetaryPolicyShock
Notes:Thefigureplotstheimpulseresponsesofindustrialproductionandinflationratetoa100-bpscontractionarymonetarypolicyshock.95%confidencebandsindashedlinesarereported.Theverticalaxisunitis1percentagepoint,andtheunitofthehorizontalaxisrefersto1month.
Source:Authors’calculations.
11
Theimpulseresponsesofmacroeconomicvariablesareconsistentwiththepredictionofstandardmacroeconomictheory,indicatingthesoundnessofourmonetarypolicyshockseries.Followingacontractionarymonetarypolicyshock,industrialproductiondecreasespersistentlywithamaximumimpactofaround3.5bps.Theinflationratealsoshowsadampeningandstatisticallysignificanteffectaftertheshock.A100-bpscontractionarymonetarypolicyshockisassociatedwitha1.7-bpsdeclineininflationatpeakafter5months.Ourresultsalsoempiricallysupportthefindingsofotherstudiesthatmanyemergingeconomieshavesucceededinimplementingcountercyclicalmonetarypolicy(Gadanecz,Miyajima,andUrban2014;Takats
2012).
3.2ImpulseResponsesConditioningonGlobalFactors
Inthispartoftheanalysis,weallowtheresponsesofindustrialproductionandinflationtomonetarypolicyshockstoconditiononglobalfactors,namelytheUSmonetarypolicystance,the
globalfinancialmarketuncertainty,andtheglobalclimatechange.
UnitedStatesmonetarypolicystance.Figure3showstheimpulseresponsesofindustrialproductionandinflationtocontractionarymonetarypolicyshocksdependingonthestanceofUSmonetarypolicy.Thedashedbluelineineachgraphrepresentstheestimatedimpulseresponsesinpercentagepointsoverthefollowing14monthstoacontractionarymonetarypolicyshockinteractedwithUSshadowpolicyrates.Bycomparingtothebaselineestimatesthatisolatetheimpactsofglobalfactors(redsolidline),theshocksduetotheUSshadowpolicyrateseemtomatteragreatdealforthemonetarypolicytransmissionofEMEs.Theresponseofindustrialproductionismutedandnotsignificantlydifferentfromzero.Theinflationratealsoexhibitslittleresponseafterthemonetarypolicyshocks,whichiscontrarytotheexpectedoutcomeofatighteningmonetarypolicy.ThiscanbeexplainedasasurpriseriseintheUSinterestratethatleadstoaweakerlocalcurrencyandaslowerUSaggregatedemand,resultinginamixedimpactonEMEs’domesticoutputandpushingupthedomesticinflationrate
(MagudandPienknagura2023).Moreover,astheUSmonetarypolicystancecanbeanindicator
12
ofglobalfinancialconditions,ahigherUSshadowpolicyratemayleadtoadecreaseintheEMEs’domesticcredits(Miranda-AgrippinoandRey2022).ThesepotentialchannelsrevealthatspilloversofUSmonetarypolicyshocksweakentheeffectivenessofEMEs’monetarypolicy
transmission.
Figure3:ImpulseResponsestoaContractionaryMonetaryPolicyShock:USShadowPolicyRates
US=UnitedStates.
Notes:Thefigureplotstheimpulseresponsesofindustrialproductionandinflationratetoa100-bpscontractionarymonetarypolicyshock,conditioningonUSshadowpolicyrates.95%confidencebandsindashedlinesarereported.Theverticalaxisunitis1percentagepoint,andtheunitofthehori
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