版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請(qǐng)進(jìn)行舉報(bào)或認(rèn)領(lǐng)
文檔簡(jiǎn)介
TheEnergyOriginsoftheGlobalInflationSurge
JorgeAlvarez,ThomasKroenWP/25/144
IMFWorkingPapersdescriberesearchinprogressbytheauthor(s)andarepublishedtoelicitcommentsandtoencouragedebate.
TheviewsexpressedinIMFWorkingPapersarethoseoftheauthor(s)anddonotnecessarilyrepresenttheviewsoftheIMF,itsExecutiveBoard,orIMFmanagement.
2025
JUL
?2025InternationalMonetaryFund WP/25/144
IMFWorkingPaper
ResearchDepartment
TheEnergyOriginsoftheGlobalInflationSurgePreparedbyJorgeAlvarezandThomasKroen*
AuthorizedfordistributionbyDenizIganMay2025
IMFWorkingPapersdescriberesearchinprogressbytheauthor(s)andarepublishedtoelicitcommentsandtoencouragedebate.TheviewsexpressedinIMFWorkingPapersarethoseoftheauthor(s)anddonotnecessarilyrepresenttheviewsoftheIMF,itsExecutiveBoard,orIMFmanagement.
ABSTRACT:ThispaperinvestigatestherelationshipbetweenenergypricesandinflationdynamicsinthecontextoftheglobalinflationsurgeduringtheCOVID-19pandemic.Usingacomprehensivesector-leveldatasetcoveringover30countriesandalocalprojectionsempiricalstrategy,weextendpreviousstudiesthatprimarilyfocusedonsingle-countryanalysesoraggregateinflationmeasures.Ourfindingsindicatethatwhiletheenergyshocksof2021–2022wereremarkable,thedegreeofinflationpassthroughofenergyshocksappearstoberelativelystableovertime.Moreover,weshowthatenergypriceshockssignificantlyinfluenceinflationthroughstablesectoralchannels,withstructuralcharacteristicssuchasenergydependenceandpriceflexibilityplayingcriticalrolesinthepassthroughmechanism.Theseresultsunderscorethenecessityofasectoralperspectiveinunderstandinginflationarypressuresandhighlighttheimportanceofdetaileddataonprice-settingmechanismsandintersectoralconnectivityinunderstandingtheenergy-inflationpassthrough.
RECOMMENDEDCITATION:Alvarez,Jorge,andThomasKroen(2025).“TheEnergyOriginsoftheGlobalInflationSurge”.IMFWorkingPaperNo.25/144(Washington,DC:InternationalMonetaryFund).
JELClassificationNumbers:
D57,E31,E37,Q43
Keywords:[TypeHere]
InflationPassthrough,EnergyPrices,ProductionNetworks,PriceRigidities,LocalProjections.
Author’sE-MailAddress:
jalvarez@,
tkroen@
*TheauthorswouldliketothankEmineBoz,AlbertoMusso,Jean-MarcNatal,GalipKemalOzhan,NicholasSander,SebastianWende,andSihwanYangfortheircollaborationandhelpfulcommentsonthiswork.TheauthorsalsothankKazuhiroHirakiandDenizIganforhelpfulcomments,andWeiliLinandCanranZhangforexcellentresearchassistance.Theviewsexpressedhereinarethoseoftheauthor(s)andshouldnotbeattributedtotheIMF,itsExecutiveBoard,orIMFmanagement.Anyerrorsoromissionsaretheresponsibilityoftheauthor(s).
PAGE
10
TheEnergyOriginsoftheGlobalInflationSurge
JorgeA.AlvarezInternationalMonetaryFund
ThomasKroen?
InternationalMonetaryFund
Date:May2,2025
Abstract
ThispaperinvestigatestherelationshipbetweenenergypricesandinflationdynamicsinthecontextoftheglobalinflationsurgeduringtheCOVID-19pandemic.Usingacomprehensivesector-leveldatasetcoveringover30countriesandalocalprojectionsempiricalstrategy,weextendpreviousstudiesthatprimarilyfocusedonsingle-countryanalysesoraggregateinflationmeasures.Ourfindingsindicatethatwhiletheenergyshocksof2021–2022wereremarkable,thedegreeofinflationpassthroughofenergyshocksappearstoberelativelystableovertime.Moreover,weshowthatenergypriceshockssignificantlyinfluenceinflationthroughstablesectoralchannels,withstructuralcharacteristicssuchasenergydependenceandpriceflexibilityplayingcriticalrolesinthepassthroughmechanism.Theseresultsunderscorethenecessityofasectoralper-spectiveinunderstandinginflationarypressuresandhighlighttheimportanceofdetaileddataonprice-settingmechanismsandintersectoralconnectivityinunderstandingtheenergy-inflationpassthrough.
JELcodes:D57,E31,E37,Q43
Keywords:InflationPassthrough,EnergyPrices,ProductionNetworks,PriceRigidities,LocalProjections.
?Email:
jalvarez@
and
tkroen@
TheauthorsthankEmineBoz,AlbertoMusso,Jean-MarcNatal,GalipKemalOzhan,NicholasSander,SebastianWende,andSihwanYangfortheircollaborationandhelpfulcommentsonthiswork.TheauthorsalsothankKazuhiroHirakiandDenizIganforhelpfulcommentsandWeiliLinandCanranZhangforexcellentresearchassistance.Theviewsexpressedhereinarethoseoftheauthor(s)andshouldnotbeattributedtotheIMF,itsExecutiveBoard,orIMFmanagement.Anyerrorsoromissionsaretheresponsibilityoftheauthor(s).
Introduction
Theglobalinflationsurgeof2021-2022duringaperiodoflargeenergypriceshocksbroughtquestionsaboutthepassthroughofenergyshocksintoconsumerpricestothespotlight.Theenergyshockswerelargebyhistoricalstandards,withvariationacrossgeographiesbasedonthecompositionofenergyinputs,theadaptabilityofenergygenerationsystems,andtheelasticityofenergyinputswithrespecttotheunderlyingsupplyshocks.ThecaseofEuropeisacaseinpoint,withthewarinUkrainedisruptinggassupplylinesand”thepricesofoil,coalandgas[increasing]byaround40%,130%and180%respectively”(Adolfsenetal.,2022).Effectsweremoremoderatebutstillsharpinotherregions.Thispaperusesthisvariationtodocumentthemagnitudeofthepassthroughofenergypricesurgesduring2020-2024intooverallinflation,determinethestructuraldeterminantsbehindthecross-countryandcross-sectorvariation,andassesshowthepassthroughofenergypricesintoinflationduringtherecentinflationepisodecomparestohistoricalepisodes.
Ex-anteitisunclearhowenergypricepassthroughduringtheCovidperiodshouldcomparetopriorperiodsofinflationsurges.Whilemodelswithpriceadjustmentfrictions(AlvarezandNeumeyer(2020),CaballeroandEngel(2007),Cavalloetal.(2023),GolosovandLucasJr(2007),KaradiandReiff(2019))wouldpredictunchangedpassthroughconditionalonthesizeoftheshock,BernankeandBlanchard(2023)showthatthestrengthofenergypricepassthroughwilldependonthestrengthofwage-pricefeedbacks.Ifthosewerestrongerduringthepandemicthanbefore,strongerpassthroughwouldbeexpected.Ourpaperprovidesanempiricaltesttodistinguishbetweenthesecompetinghypotheses.
Ouranalysisdocumentsthreefactsonthepassthroughofenergyshocksintoinflation.First,whilethemagnitudeofthe2021-2022energyshockwasremarkable,theextentofitspassthroughintoheadlineinflationatthecountry-levelwasgenerallycomparabletopreviousepisodes.Usingapanelofmorethan30countries,weshowinalocalprojectionsframeworkthatthepassthroughcoefficientremainedstableonaverage,contradictingthehypothesisofapotentiallystronger-than-usualtransmission.Thiswastruebothinadvancedeconomiesandinemergingmarketsinoursample.Thefindingsuggestsacertainstructuralrigidityintheinflationaryresponse,eveninthefaceoflargeenergyshocks.ThesefindingsarerobusttousingtheKa¨nzig(2021)oilsupplynewsshocksasaninstrumentforenergyprices.
Second,thepaperprovidesevidenceofnon-lineareffectsinthepassthroughofenergyprices.Thecountry-levelpassthroughfromenergypricesintoheadlineinflationisstrongerwhenthechangeinenergypricesislarger,consistentwithmodelswherefirmsaremoreresponsivetolargershocksduetopriceadjustmentfrictions(AlvarezandNeumeyer(2020),Cavalloetal.(2023),KaradiandReiff(2019)).Yet,thepaperfindsnosignificantchangeinthesenon-linearitiespost-2020.Thislackofabroad-basedstrengtheninginthepassthroughimpliesthatwhileenergypricesimpactinflation,thesizeofthepassthroughconditionalonthesizeoftheshockremainsrelativelypredictableinitsnon-linearity,anotableinsightgiven
thescaleofrecentpricechangesandthevarietyofenergyinputs.Thissuggeststhatstablestructuralcharacteristicsshapethepassthroughofenergypricesintoheadlineinflation.
Third,forabetterunderstandingofthesestructuralcharacteristics,wedelveintosector-leveldataandhighlightthecriticalroleofsectoralattributes,inparticularenergyinputde-pendenceandpriceflexibility,ininfluencinghowenergyshockstransmitthroughproductionnetworksandintoaggregateinflationmeasures.Thesefindingsunderscoretheimportanceofsectoralheterogeneity,suggestingthatenergy-intensivesectorswithmoreflexiblepricingstructuresmaypropagateshocksfasterandmorestronglycomparedtomorerigid,lessenergy-dependentsectors.Theresultsareconsistentwithinput-outputlinkagesbetweenheterogeneoussectorsplayingaroleinshapingthestable,non-linear,aggregateenergypassthrough.
Theliteratureonthepassthroughofenergypriceshockstoinflationhasexploredvarioustheoreticalandempiricaldimensions,sheddinglightonthemechanismsthroughwhichenergypricefluctuationsinfluenceaggregateinflation.Ourpapermakestwoprimarycontributionstotheliterature.
First,thepapercontributestotheliteratureoninflationdynamicsduringtheCOVID-19pandemicbyincorporatingasectoraldimension.Thissectoralapproach,enhancedbyrecentdatafromtheCovid-19period,providesatimelyanddetailedperspectiveonhowstructuralsectoralcharacteristics—notablyenergydependenceandpriceflexibility—shapeinflationaryoutcomesacrosseconomies.SeveralrecentstudiesexploreinflationdynamicsduringtheCOVID-19pandemic,includingBalletal.(2022),Cavalloetal.(2024),andDaoetal.(2024)examininghowpandemic-relatedsupplychaindisruptionsandpolicyresponsesdroveaggregateinflationdynamicsintheUSandglobally.Thesestudiessuggestthatthepost-pandemicperiodexhibitedincreasedsectoralheterogeneity,reinforcingtheimportanceofanalyzingsector-specificinflationresponses.Chenetal.(2024)documentthecontributionoflabormarketstotheCovidinflationsurgewhileOcampoetal.(2022)discussalternativeinflationmeasuresthatstripoutvolatileinflationcomponentsbeyondfoodandenergy.Bobasuetal.(2024)showhowenergypriceshocksaffectthetransmissionofmonetarypolicywhileBoecketal.(2025)andPatzeltandReis(2024)studytheimpactofenergypriceshocksoninflationexpectations.Lafrogne-Joussieretal.(2023)providefirm-levelevidenceonthepassthroughfrominputpricesurges.Additionally,Miyamotoetal.(2024)provideevidenceonenergypricepassthroughattheZLBrelativetonon-ZLBtimeswhileAruobaandDrechsel(2024)analyzetheimpactofmonetarypolicyshocksonsectoralinflationoutcomes.TheroleofglobalandcommonfactorsininflationhasalsobeenexaminedbyAueretal.(2024),whodocumentthatenergypriceshockscontributetosynchronizedinflationmovementsacrosscountries.Euro-area-specificstudies,suchasAdolfsenetal.(2024),AlessandriandGazzani(2025),BabaandLee(2022),Casolietal.(2024),CorselloandTagliabracci(2023),andHansenetal.(2023)investigateregionalvariationsinenergypassthroughandmonetarypolicy.
Second,ourpaperextendspreviousstudiesontheenergy-inflationpassthrough,whichoftenfocusonsingle-countryanalysesorcross-countrystudiesusingaggregateinflationmeasures.
Byleveragingadatasetthatcoversover30countrieswithsectoralgranularity,ourpaperoffersabroaderandmorenuancedviewofhowenergypricestransmitacrossdifferentsectors.Earliercontributions,includingAbdallahandKpodar(2023),Choietal.(2018),ClarkandTerry(2010),andDeGregorio(2012),provideevidenceonthestrengthandpersistenceofenergypricepassthroughduringthepre-Covidperiod.Silvaetal.(2024)highlightdifferencesbetweenthepassthroughofenergyshocksandshockstoothercommodityprices.Relativetothisliterature,ourcontributionshowsthatpassthroughduringtheCovidperiodwascomparabletopriorepisodesbuttheunderlyingenergypriceshockswereextraordinarilylarge.Moreover,weprovidenovelevidenceonthekeyimportanceofsectoralheterogeneity.
Thirdthepaperprovidesreduced-formevidenceonenergypricepassthroughfromacross-countrypanel,documentingempiricalregularitiesthatcanbeusedasinputstodisciplinestructuralmodellingwork.RecentstudiesonthepassthroughofenergypriceshocksusingastructuralmodelingapproachcomplementedwithempiricalevidencefortheUnitedStatesinclude(AfrouziandBhattarai(2023),Afrouzietal.(2024),GagliardoneandGertler(2023),andMintonandWheaton(2023)).Afrouzietal.(2024)developatheoreticalframeworkandpresentempiricalevidencethatoilpriceshocksactakintonegativesupplyshocks.Similarly,MintonandWheaton(2023)examinethespeedofdownstreamtransmissionofenergyshocksusingProducerPriceIndex(PPI)data,emphasizingtheroleofsupplychainfrictionsandinput-outputlinkages.GagliardoneandGertler(2023)analyzethepropagationofupstreamenergyshocks,findingthatsectoralcharacteristicsandmonetarypolicyresponsesarecrucialindeterminingtheextentofinflationaryspillovers.Relativetothesepaperswetakeaglobalperspectiveandfocusonoverallenergypricepassthrough,ratherthanmorenarrowlydefinedoilpricepassthrough.
Finally,furtherresearchhasanalyzedtheroleofsectoralcharacteristicsinshapinginflationtransmission.Alvarez-Blaseretal.(2024)highlighthowfirms’pricingstrategiesandinputcoststructuresinfluencethemagnitudeandspeedofpassthroughfromsectoralshocks.Severalpapersdiscussmonetarypolicyinmodelswithproductionnetworksandsectoralinput-outputlinkages(La’OandTahbaz-Salehi(2022),Rubbo(2023),Silva(2023)).Ourpaperdoesnotmakeastructuralcontributionbutprovidesempiricalestimatesthatcanbeusedasaninputtodisciplinestructuralmodelestimation.
Therestofthepaperproceedsasfollows.SectionAdescribestheaggregatecross-countryandsector-leveldatasetsused.Section3providesdescriptiveevidenceonaggregateenergypricedynamicsandtheheterogeneityinsectoralenergypricepassthrough.Section4outlinestheempiricallocalprojectionsframeworkandpresentsthekeyfindings,whilesection5concludes.
Data
Thepaperusesaggregatedatatoassessthepassthroughofenergyinflationintooverallinflationatthecountry-levelandsectoraldatatoassesssectoralpassthroughdynamics.We
describeeachgroupofdatasetsbelow.AdditionaldetailsareprovidedinannexA.
AggregateData
Atthemacrolevel,weusequarterlydataonCPIinflationandGDPgrowthfromtheIMFWEOdatabase.OutputgapsareestimatedusingaunivariateHP-filter.Oil,gas,and,coalpricesarefromtheIMF’sPrimaryCommoditiesdatabase.Forglobaloilandgasprices,weusetherespectiveglobalindicesinthedatabasethataggregatetheunderlyingoil(Brent,DubaiFateh,WTI)andgas(American,European,Japanese)priceindicesintoaglobalindex.NominaleffectiveexchangeratesandenergyinflationarefromHaverAnalytics.Country-levelenergyinflationismeasuredusingHaverAnalytics’quarterlyseasonallyadjustedenergyHICPindex.
SectoralData
Atthesectorallevel,weprimarilyrelyontwotypesofdata:sectoralinflationdataanddataonsectoralinput-outputlinkagestoconstructenergydependencemeasuresatthesectorallevel.
First,wesourcesectoralnominalandrealvalueaddedfor11sectorspercountryfromtheOECDValueAddedbyActivitydatabase.WesupplementthisdatawithsectoralBEAdatafortheUSandHaverAnalyticsdataforBrazil.Sectoralvalueaddeddeflatorsareconstructedasthedifferencebetweenquarterlynominalandrealvalue-addedgrowthrates.
Second,thepaperreliesonannualinternationalinput-outputlinkagesfromtheOECD’sICIOdata.Thedataprovidesdetailedinput-outputlinkagesfor45sectorsacross76individualcountriesfrom1995to2020.Theremainderofcountriesissummarizedasthe”restoftheworld”sotheinput-outputtablescovertheentireglobaleconomy.Usinginternationalinput-outputtablesiscriticalforouranalysisofenergypricepassthroughsinceasignificantshareofenergyinputsareimportedformanycountries.Thus,nationalinput-outputtablesmayunderstatesectoralenergydependence.
Wedenotetheinternationalinput-outputmatrixby?,whereelementsareindexedby?i,j
andindicatetheamountofinputsectorjsourcesfromsectori.LetIdenotethetotalnumberofsectorsintheinternationalinput-outputtableandNthenumberofcountries.Then,?hassizeINxIN.Forthecalculations,wewillfocusonthe”technicalmatrix”(seeBartelmeandGorodnichenko(2015)),??,whichweobtainbydividingeachcolumnof?bysectoralgrossoutputYi1.
Weconstructtwomeasuresofenergydependence.Directenergydependenceisthetotalinputshareofenergyinsectoralgrossoutput.Totalenergydependenceisthesumofdirectenergydependenceandindirectenergydependence,measuredbytheLeontief-inverse
1SectoralgrossoutputYicanbecomputedasthesumofallintermediatesthatsectoriusesplussectoralvalue-
addedplustaxeslesssubsidiesfromtheICIOtables.Formally??=(Y1?1,,Y?1,...,Y?1)′?.whereY?1is
i
acolumnvectorwitheachentryequaltoY?1
i I i
weightedenergydependenceofsuppliers.Thiscapturesallindirectinput-outputlinkagesacrosstheproductionnetwork.
LeteidenoteaINx1vectorofzeroswithaoneforsectoriamongtheINsector-country
pairsandleteenergydenoteaINx1vectorofzeroswithonesforallsector-countrypairsthatincludetheenergysector.
Directandtotalsectoralenergydependenceγdirectandγtotalarethencomputedas:
i i
γ
directi
γ
totali
=e′energy
=e′energy
??ei (1)
(I???)?1ei (2)
Inthepaper,weusetwodefinitionsfortheenergysector:Anarrowdefinitionthatonlycapturescokeandrefinedpetroleumproducts(ICIOsectorC19)andabroaderdefinitionthatalsoincludesutilities(ICIOsectorD)2.Thesectoralenergydependencemeasuresareaggregatedfromthe45OECDICIOsectorsthatfollowtheNACEclassificationtothe11sectorsforwhichwehavesectoralpricedatausingtheaverageacrosssectorsinthesectoralmapping.Finally,weimputemissingsectoralenergydependenceinrecentyearswiththemostrecentavailablevalue.
Overall,thedifferentdefinitionsofsectoralenergydependenceyieldhighlycorrelatedmeasuresatthecountry-sectorlevel.Figure1showsthatthecorrelationsare.8forthenarrowenergydefinition(Panela)and.83forthebroadenergydefinition(Panelb)in2019.Moreover,asshowninAppendixFigureB.1,thesecorrelationsremainveryhighwhenincludingallyearswithavailabledatafrom1995-2020andresidualizingsectoralenergydependenceonacountryandatimefixedeffect.Thesemeasuresalsocorrelateintuitivelyacrosssectors.Forexample,for”manufacturing,utilitiesandwatersupply”,theaveragetotalenergydependenceis.34(.05usingthenarrowdefinition),whileforfinanceandinsurance,theaveragetotalenergydependenceis.03(.01usingthenarrowdefinition).
NarrowEnergyDefinition (b)BroadEnergyDefinition
Panelsshow2019correlationofsectoralenergydependencemeasurescomputedfromOECDICIOdatafordirectandtotalenergydependence.EnergysectorisdefinedasICIOsectorC19(Panela)andasICIOsectorsC19andD(Panelb).
Figure1:Correlationofsectoraldirectandtotalenergydependencein2019
2Technically,sectorDincludes”electricity,gas,steam,andairconditioningsupply.”
Sincethedifferentmeasuresarehighlycorrelated,wewillprimarilyrelyontotalenergydependenceunderthebroaddefinitionoftheenergysector,unlessotherwisenoted.
Finally,tomeasuresectoralpriceflexibilityweusedatafromRubbo(2023).Buildingonfirm-levelBLSdatathatfeedsintotheUSPPI,sheconstructssectoralpriceadjustmentprobabilitiesδi.Fortheremainder,weassumethatthesectoralpricestickinessforUSsectorscapturesthesectoralpricestickinessofthesamesectorsinothercountries.
Thefinalsampleisanunbalancedpanelof33countrieswithcountry-levelandsectoralpricedataaswellassectoralenergydependencedata.Thepanelincludes25advancedeconomiesand8emergingmarkets(Brazil,Bulgaria,Chile,Colombia,CostaRica,Hungary,Poland,Romania)withdatastartingin1981.Formostregressions,weusedatastartingin2010tofocusontherecenttimeperiod.Bothfortheaggregateandforthesectoralregressions,wewinsorizeoutcomesatthe2and98percentileperiod-by-periodtomitigatetheimpactoflargeoutliers.
Table1providesanoverviewofthesectoraldataforthesamplesince2010.Thereisrichsectoraldispersioninsectoralinflationratesbothwhenusingmorewidelyavailablesectoralvalue-addeddeflatorsandforsectoralPPIs,whichareonlyavailableforasubsetofsectorsandforEuropeaneconomies.
N
Mean
Std
GrossValueAdded(inmillionUSD)
19,790
17247.77
34569.61
SectoralValue-AddedDeflator(yoy)
20,468
3.72
14.60
SectoralPPIInflation(yoy)
8,533
3.27
13.22
DirectEnergyDependence
21,830
.0346
.0532
IndirectEnergyDependence
21,830
.0927
.0971
SectoralPriceFlexibility
21,830
.2566
.1492
Tablesummarizessectoraldataforsamplefrom2010-2024.Sectoralgross-valueaddedisnominal(convertedtoUSD).SectoralvalueaddeddeflatorsandPPIinflationratesarereportedasyearlyinflationratesinpercent.EnergydependenceiscomputedfromOECD-ICIOdata.SectoralpriceflexibilityisbasedondatafromRubbo(2023).RemainingdataisfromEurostatandOECD.
Table1:SectoralSummaryStatistics
DescriptiveStatisticsandStylizedFactsofthe2021-2023InflationEpisode
Thissectionbrieflydescribesthecontextofthe2021-2023inflationaryepisode,andshowsstylizedfactsonthebehaviorofenergyinputpricesandtherelationshipbetweensectoralenergydependenceandsectoralinflation.
Macro-levelDevelopments
During2021and2022,theworldwitnessedalargeenergyshockacrosscountriesandacrossenergysources.Globalenergypricesdoubledrelativeto2019(Figure2PanelB),with
amedianpriceincreaseofmorethan50percent(Figure2PanelA).
Energyandoilprices (b)Pricesofenergycommodities
Panela)showsquarterlyevolutionofglobaloilprices(inUSD)andglobalenergypricesindexedto100in1980Q1.Panelb)plotsevoluationofquarterlyenergypricesacrossdifferentenergysourcesusingdatafromtheIMFPrimaryCommoditiesPricesDatabase.Dataarereportedasindicesnormalizedto100inJanuary2020forPanelb).Gas,oil,andcoalpricescaptureglobalaveragesofmajorblends.
Figure2:Evolutionofglobalenergyprices
Theselargeenergyshockswereunprecedentedbyglobalhistoricalstandards.Figure33showsthatthedistributionofcross-countryquarterlyenergypriceinflationdisplayedmuchthickertailsandamuchlowerkurtosisthanduringpreviousdecades.Thiswastoalargedegreedrivenbyglobalfactorsbothontheupsideandthedownside.Acrosscountries,energypriceinflationsurgedin2021and2022,drivingtherighttailoftheenergypricedistributionin2020-2023(inyellow).Conversely,thewidespreaddeclineininflationin2023contributedtotheunusuallythickleft-tail.
Thefigurereportsthedistributionofquarterlyenergyinflationusingcountry-leveldatasince1992.Country-levelenergyinflationismeasuredusingHaver’squarterlyseasonallyadjustedHICPenergyinflationindex.Quarterlypricechangesarereportedinannualizedrates.
Figure3:DistributionofEnergyPriceChanges
Acrossenergysources,the2020-2023pricemovementswereparticularlylargeforgas
3Thisandthefollowingchartusedatasince1992,whichistheearliestyearwithavailablegaspricedata.
pricesinhistoricalcomparison.Incontrast,thedistributionofoilpricechangeswasbroadlyinlinewithpreviousepisodes,asshowninFigure4.Inparticular,the2020-2023distributionofquarterlyoilpricechangeswassomewhatflatterbutoverallbroadlycomparabletothepreviousthreedecades.While2020and2021witnessedlargeoilpriceupswings,comparablelargequarterlyoilpricessurgesofmorethan100percentinannualizedrateshadoccurredduringeachofthepriorthreedecades.Incontrast,theextremelylowkurtosisofthegaspricedistributionanditsthicktailwereunprecedented.Quarterlygaspricechangesinexcessof200percent(inannualizedrates)asseenforexamplein2022afterRussia’sinvasionofUkraine(Albrizioetal.(2023))hadnotoccurredatleastsincetheearly1990s.Thesegaspricesurgesof2022cameafteraperiodofhistoricallylowgaspriceinflationfrom2010-2019.
OilPrices (b)GasPrices
Figurereportsdistributionofquarterlychangesofglobaloilandgaspricesgoingbackto1992,thefirstyearwithavailablegaspricedata.Quarterlyinflationratesarereportedatannualizedrates.
Figure4:Distributionofquarterlyoilandgaspricechanges
SectoralDevelopments
Themacroleveldevelopmentshadheterogeneoussectoraleffectsdependingonsectoralenergydependenceandpriceflexibility.SectorswithhighersectoralenergydependencewitnessedasurgeinsectoralinflationthatbeganbeforeRussia’sinvasionofUkrainewhileinflationspreadonlygraduallytolessenergy-intensivesectors.Figure5showsthispattern,usingsectoralmeasuresofenergydependencethatareconstructedcountry-by-countryeitherusingtheinputshareofenergy(”directenergydependence”inPanelA)orusingtheinput-outputlinkagesweightedenergyshare(”totalenergydependence”inPanelB),asoutlinedinSection
Acrosscountries,energy-dependentsectorstypicallyincludeagriculture,manufacturing,andconstructionwhilelessenergy-dependentsectorsincludeseveralservicessectors.
Inflationinenergy-dependentsectorsstartedsurgingoverthecourseof2021,mirroringtheevolutionofrawenergyprices(Figure2),andacceleratedafterRussia’sinvasionofUkraine.Inflationinenergy-dependentsectorssubsequentlypeakedtowardslate2022beforedecliningrapidly.Incontrast,inflationinless-energydependentsectorswasaffectedmuchmoregradu
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請(qǐng)下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請(qǐng)聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會(huì)有圖紙預(yù)覽,若沒有圖紙預(yù)覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫(kù)網(wǎng)僅提供信息存儲(chǔ)空間,僅對(duì)用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對(duì)用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對(duì)任何下載內(nèi)容負(fù)責(zé)。
- 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請(qǐng)與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時(shí)也不承擔(dān)用戶因使用這些下載資源對(duì)自己和他人造成任何形式的傷害或損失。
最新文檔
- 行文制度四個(gè)規(guī)范
- 食堂規(guī)范操作制度
- 瑜伽會(huì)員制度規(guī)范
- 狂犬門診制度規(guī)范
- 直播排班制度規(guī)范
- 2025年人力資源管理師一級(jí)綜合能力真題試卷(含答案)
- 2025年電工(初級(jí))證考試題庫(kù)附答案
- 2025年手機(jī)維修技能評(píng)測(cè)試題及答案
- 2025年糧食安全知識(shí)競(jìng)賽試題及答案
- 建筑物節(jié)水設(shè)計(jì)方案
- 水產(chǎn)總堿度總硬度課件
- 2025年山東省東營(yíng)市中考化學(xué)真題
- DB63-T 1382-2015 住宅工程質(zhì)量分戶驗(yàn)收規(guī)程
- 2026年跨境電商物流服務(wù)公司關(guān)聯(lián)交易審批管理制度
- 五年級(jí)上冊(cè)英語閱讀每日一練
- 【MOOC】《線性代數(shù)》(山東大學(xué))章節(jié)期末慕課答案
- 農(nóng)業(yè)生態(tài)種植技術(shù)標(biāo)準(zhǔn)操作規(guī)程
- 跌倒護(hù)理質(zhì)控分析及整改措施
- 儀器設(shè)備的清潔消毒課件
- 骨盆的評(píng)估課件
- 多項(xiàng)目管理標(biāo)準(zhǔn)化框架
評(píng)論
0/150
提交評(píng)論