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EconomicConsequences
ofLargeExtraction
Declines
LessonsfortheGreenTransition
RudolfsBems,LukasBoehnert,AndreaPescatoriandMartin
Stuermer
WP/23/97
IMFWorkingPapersdescriberesearchin
progressbytheauthorsandarepublishedto
elicitcommentsandtoencouragedebate.
TheviewsexpressedinIMFWorkingPapersare
thoseoftheauthorsanddonotnecessarily
representtheviewsoftheIMF,itsExecutiveBoard,
orIMFmanagement.
2023
MAY
*WearegratefulforcommentsbyLukasBoer,Pierre-OlivierGourinchas,FrancescoGrigoli,PetyaKoeva-Brooks,andAntonioSpilimbergoaswellasparticipantsoftheIMFResearchDepartment'sCommoditiesUnitSeminar,theCentreforStudyofAfricanEconomiesSeminar,andtheRuhrGraduateSchoolSymposium.WethankRachelBrasier,WenchuanDong,AbreshmiNowar,andTianchuQiforoutstandingresearchassistance.
©2023InternationalMonetaryFund
WP/23/97
IMFWorkingPaper
ResearchDepartment
EconomicConsequencesofLargeExtractionDeclines:LessonsfortheGreenTransitionPreparedbyRudolfsBems,LukasBoehnert,AndreaPescatoriandMartinStuermer*
AuthorizedfordistributionbyPierre-OlivierGourinchas
May2023
IMFWorkingPapersdescriberesearchinprogressbytheauthorsandarepublishedtoelicitcommentsandtoencouragedebate.TheviewsexpressedinIMFWorkingPapersarethoseoftheauthorsanddonotnecessarilyrepresenttheviewsoftheIMF,itsExecutiveBoard,orIMFmanagement.
ABSTRACT:Limitingclimatechangerequiresa80percentreductioninfossilfuelextractionuntil2050.Whatarethemacroeconomicconsequencesforfossilfuelproducingcountries?Weidentify35episodesofpersistent,exogenousdeclinesinextractionbasedonanewdata-setfor13minerals(oil,gas,coal,metals)and122countriessince1950.Weuselocalprojectionstoestimateeffectsonrealoutputaswellastheexternalandthedomesticsectors.DeclinesinextractiveactivityleadtopersistentnegativeeffectsonrealGDPandthetradebalance.Therealexchangeratedepreciatesbutnotenoughtooffsetthedeclineinnetexports.Effectsonlow-incomecountriesaresignificantlylargerthanonhigh-incomecountries.Resultssuggestthatlegacyeffectsofbadinstitutionscouldpreventcountriesfrombenefitingfromlowerresourceextraction.
RECOMMENDEDCITATION:Bems,Rudolfs,LukasBoehnert,AndreaPescatoriandMartinStuermer
JELClassificationNumbers:Q32,Q43,O13,E30]
Keywords:
Resource-richcountries,energytransition,fossilfuels,macroeconomics,development,climatepolicies.
apescatori@
,
mstuermer@
Authors’E-MailAddresses:
rbems@
,
lukas.boehnert@economics.ox.ac.uk
,
EconomicConsequencesofLargeExtractionDeclines:LessonsfortheGreenTransition*
RudolfsBems†,LukasBoehnert‡,AndreaPescatori§,andMartinStuermer¶April5,2023
Abstract
Limitingclimatechangerequiresa80percentreductioninfossilfuelextractionuntil2050.Whatarethemacroeconomicconsequencesforfossilfuelproducingcountries?Weidentify35episodesofpersistent,exogenousdeclinesinextractionbasedonanewdata-setfor13minerals(oil,gas,coal,metals)and122countriessince1950.Weuselocalprojectionstoestimateeffectsonrealoutputaswellastheexternalandthedomesticsectors.DeclinesinextractiveactivityleadtopersistentnegativeeffectsonrealGDPandthetradebalance.Therealexchangeratedepreciatesbutnotenoughtooffsetthedeclineinnetexports.Effectsonlow-incomecountriesaresignificantlylargerthanonhigh-incomecountries.Re-sultssuggestthatlegacyeffectsofbadinstitutionscouldpreventcountriesfrombenefitingfromlowerresourceextraction.
JELclassification:Q32,Q43,O13,E30
Keywords:Resource-richcountries,energytransition,fossilfuels,macroeconomics,develop-ment,climatepolicies.
*WearegratefulforcommentsbyLukasBoer,Pierre-OlivierGourinchas,FrancescoGrigoli,PetyaKoeva-Brooks,andAntonioSpilimbergoaswellasparticipantsoftheIMFResearchDepartment’sCommoditiesUnitSeminar,theCentreforStudyofAfricanEconomiesSeminarandtheRuhrGraduateSchoolSymposium.RachelBrasier,WenchuanDong,AbreshmiNowar,andTianchuQiprovidedoutstandingresearchassistance.TheviewsinthispaperarethoseoftheauthorsanddonotnecessarilyreflecttheviewsoftheInternationalMonetaryFund,itsExecutiveBoard,oritsmanagement.
†InternationalMonetaryFund,ResearchDepartmentandCEPR,Email:rbems@.
‡UniversityofOxford,EconomicsDepartment,Email:lukas.boehnert@economics.ox.ac.uk.
§InternationalMonetaryFund,ResearchDepartment,Email:apescatori@.
¶InternationalMonetaryFund,ResearchDepartment,Email:mstuermer@.
2
1Introduction
Reachingnetzerocarbonemissionsby2050requiresa80percentreductioninglobalfos-silfuelextractioncomparedwith2021levels,accordingtothe
InternationalEnergyAgency
(2022)
.Manycountriescouldthereforeexperienceapermanentcontractionintheirfossilfuelextractivesectors.Whatwouldbethemacroeconomicimpact?
Alargebodyofliteratureemphasizesthenegativeimpactofhavingasizeableextrac-tionsectoronacountry’seconomicgrowth,i.e.,theresourcecurse,byweighingontheper-formanceofmanufacturing(seee.g.,
Frankel(2012)
and
Krugman(1987)
)andonthequalityofinstitutions(see
Mauro(1995)
and
LaneandTornell(1996)
).
Thereis,however,adearthofanalysesonthemacroeconomiceffectsofareversal.Itisanopenquestionwhetheradeclineinfossilproductionisdetrimentalorbeneficialforcoun-tries’economicgrowth.Canthemaladiesidentifiedbytheresourcecurseliteratureduringresourceboomsbereversedbyshrinkingtheextractivesector?Asclimatepoliciesandtheireffectsonaspecificcountry’sextractionsectorareuncertain,towhatextentdoesanticipationorthelackthereofshapetheeffectsofanextractiondeclineoneconomicactivity,especiallyonthetradebalance?
Thispapershedslightonthesequestionsbyestimatingthemacroeconomicimpactoflargeandpersistent,exogenousdeclinesinextractionactivity.Westudymajortransmissionchannels,theroleofinstitutions,andcomparetheempiricalresultstoaneoclassicalmodelwithandwithoutfullanticipation.
Wecollectanewdata-setontheextractionof13commodities,includingcrudeoil,coal,andmetals,forcountriesworldwidestartingin1950.Usingstatisticalandnarrativeapproaches,weidentify35episodesofpersistentdeclinesinextractiveactivitythatarenotcorrelatedwithothereconomicshockshittingtheeconomyatthesametime.Wesetupastylizedclassicalsmall-open-economyrealmodeltostudyadjustmentstotheextractiondeclineswithandwithoutanticipation.Weuselocalprojectionstoestimatetheeffectsoftheseepisodesonrealoutput,theexchangerate,thequalityofinstitutions,andtheexternalandthedomesticsectors.
Thetypicalepisodeinournewdata-setisalargeandpersistentdeclineinextractionactivity:a10percentinitialdeclinethataccumulatestoa40percentdeclineinthetenthyear.
3
LocalprojectionmethodsshowthatsuchadeclineleadstoapersistentdeclineinrealGPDofsixpercentafteraboutsixyears.
BothprivateandpublicconsumptionaswellasinvestmentfallinlinewiththedeclineinGDP.Consumptionandtheexchangerate,however,haveadelayedreaction,inconsistentwithfullanticipationofthepersistentfallinextractionandrelatedrevenues.Therealex-changeratedepreciates,eventuallybyabout20percent,butnotenoughtostimulateareallo-cationofeconomicactivitytowardsothertrade-ablesectorssuchasmanufacturingthatcouldpotentiallyoffsetthedeclineinexports.Empiricalresults,infact,revealsignificantnegativespillovereffectsontoboththemanufacturingandservicessectors.Netexportsfallinlinewithextraction.
Theanalysisfindsheterogeneityoftheeffectsacrosscountries.Thisheterogeneityde-pendsontheirpercapitaincomeandthesizeoftheminingsectorrelativetotheeconomy.Alargeandpersistentdeclineinextractionimpliessignificantlylargerdeclinesineconomicactivityforlow-incomecountriesthanforhigh-incomecountries.
Ourresultsshowthatadeclineinextractionactivitydoesnotimprovethequalityofinstitutionsnotevenadecadeaftertheshock.Theorystressesthatincreasesinresourceextractiondiminisheslong-termgrowththroughrapaciousrent-seeking(thevoracityeffect),negativelyaffectingthequalityofinstitutionsthroughpoliticaleconomyeffects(asin
Lane
andTornell(1996)
and
TornellandLane(1999)
)andbyincreasingcorruption(see
Mauro
(1995)
and
LeiteandWeidmann(1999)
).Ourcontributiontothisliteratureistoshowthatthereisnoreversionofthedeteriorationofinstitutionsafteradeclineinresourceextraction.Thissuggestshysteresiseffectsandanasymmetricresponseofinstitutionstoshocks:onceinstitutionsaredamageditisdifficulttoimprovethem.Stressingtherelevanceofgoodinsti-tutions,resultsalsoshowthatstartingwithhigher-qualityinstitutionscanhelptobufferthenegativeeconomiceffectsofpersistentdeclinesinextractionactivity.
Ourresultsalsouncovernegativespillovereffectsfromtheminingsectortotheman-ufacturingandservicesectors.TheliteraturestressesthathighresourceextractionmakescountriessusceptibletotheDutchDisease.Therealexchangeratebecomesoverlyappreci-atedinresponsetopositivecommoditypriceshocks,causingacontractionofthetradablesector,especiallymanufacturing(e.g.,
Frankel(2012)
and
Krugman(1987)
).Wearethefirsttoshowthatforthereversecaseofdecreasingresourceextraction,thedepreciationofthe
4
exchangeratedoesnotstimulateareallocationtowardsothertradablesectorssuchasthemanufacturingsector,pointingpossiblytowardslonglastingscarsfromresourceboom.Sincethesesectorsprovideinputsandprocessoutputsoftheminingsectors,theyarealsonega-tivelyaffectedtoanextentthatmorethanoffsetsthepotentialbenefitsofthedepreciationoftherealexchangerate.
Theinitialshareofthemanufacturingsectorinvalueaddedmatters,though.Economieswithabiggerinitialmanufacturingsharefarebetter.Thissuggeststhattherearenon-convexitiesinthetradablesector(i.e.,sunkcosts),favoringtheintensivemargin(existingexportingman-ufacturingfirms)ratherthantheextensivemargin(theestablishmentsofnewmanufacturingfirms).
Wefindlittleanticipationeffectsforextractiondeclines.Thisisincontrasttoextractionbooms,whichareanticipatedbylargemineraldiscoveriesandleadtoaninitialdomesticsaving-investmentimbalancefollowedbytheexportboomasfoundin
Arezki,Ramey,and
Sheng(2017)
.Itis,indeed,surprisinghowwellastylizedclassicalsmall-open-economyrealmodelcanmatchqualitativelytheempiricalresultsonceitdepartsfromfullanticipation.Thisisparticularlythecase,whentheextractiondeclineisperceivedasaseriesoftemporarynegativeshocksthatleadexpectationsofminingoutputtoadjustslowlyovertime.
Thepaperrunsabatteryofrobustnesschecks.Ourresultsarerobusttodifferentspecifications,theinclusionofvariouscontrolvariablesandtousingthesyntheticcontrolmethodology.Wealsocheckforsensitivitytosub-samplesandanticipationeffects.
Themainimplicationforpolicymakersisthatthetransitiontowardscleanenergymightbeachallenge,especiallyforcountriesthatrelyonfossilfuelexportsandarelowtomiddleincome.Countrieswillneedtoimprovethequalityoftheirinstitutionsandpolicymakersshouldreduceclimatepolicyuncertaintywhichmayleadtoalackofanticipation,riskingamoreexpensiveadjustmentprocess.
Ourpaperistoourknowledgethefirsttoshowthattherearesubstantialimpactsofdeclinesinextractiveactivitiesatthemacroeconomiclevel.Itcontributestoabroadliteratureontheresourcecurse(e.g.,
SachsandWarner(2001)
and
MartinandSubramanian(2008)
),assummarizedin
BrunnschweilerandBulte(2008)
and
PloegandVenables(2012)
thatfocusesonthemacroeconomiceffectsofresourcebooms.Thisliteraturesupportsthetheoreticalpre-dictionthathigherresourceextractiondamageslong-termgrowth(seee.g.,
SachsandWarner
5
(2001)
,
Feyrer,Mansur,andSacerdote(2017)
,
AllcottandKeniston(2018)
,
Arezki,Ramey,and
Sheng(2017)
,
Cust,Harding,andVezina(2019)
,and
Harding,Stefanski,andToews(2020)
).Thereisastringoftheliteraturethatstudiesperiodsofresourcebusts,whichis,however,focusedonregionaleconomicimpacts(seee.g.,
Black,McKinnish,andSanders(2005)
,
Cav-
alcanti,DaMata,andToscani(2019)
,
Watson,Lange,andLinn(2023)
,
JacobsenandParker
(2016)
,and
Hanson(2023)
).
Finally,ourresultscanprovideempiricalbenchmarkstoanemergingliteratureontheimpactofthecleanenergytransitiononfossilfuelproducingcountries.Thisliteraturehasmostlyfocusedontheeconomicimplicationsofstrandedassets(seee.g.,
PloegandRezai
(2020)
)andfiscalimplications(seee.g.,
Mirzoev,Zhu,Yang,Zhang,Roos,Pescatori,and
Matsumoto(2020)
)sofar.
Thepaperisstructuredasfollows.
Section2
introducesournewdata-setandexplainshowweidentifytheshockepisodes.
Section3
presentsthemacroeconomiceffectsoftheseshockepisodesbasedonsimpleplots.
Section4
introducesourtheoreticalframeworkanditsresults.
Section5
explainstheempiricalframeworkand
Section6
presenttheempiricalresults.
Section7
examinestherelationshipbetweenpersistentextractiondeclinesandthequalityofinstitutions.
Section8
providesrobustnesschecksand
Section9
concludes.
2IdentificationStrategy:EpisodesofExogenousExtractionDeclines
Themainconcernwhenestimatingthecausaleffectofadeclineinextractiveactivityonmacroeconomicvariablesisreversecausalityandomittedvariables.Inparticular,eventsthataffectminingproductionmayequallybecorrelatedtoGDP(orothervariables)or,toputitdifferently,adeclineineconomicactivitymayhaverepercussionsonminingoutputinthesameyear.Toaddressthissubstantialissue,webuildanewdata-setconsistingoffossilfuelsandmineralextraction,mineralprices,andmacroeconomicvariables;thenstartingfromafarlargersetofcandidateepisodes,weidentify35,macro-economicallyrelevant,exogenousepisodesofdeclinesinextractionoutputfor11commoditiesacross30countriesusinganarra-tiveapproach.These35episodesareplausiblyunrelatedtootherdevelopmentinthedomestic
6
economyorglobalactivityandcan,thus,beusedtoinfertheircausaleffectonthecountry’smacroeconomicvariables.
2.1TheDataset
Weassembledataonmining(orprimary)productionoffossilfuelsandmetals,andidentifyepisodesofsustaineddeclines.Wecollectanunbalanceddata-setforthe13largestcommodi-tiesintermsoftheirworldwideproductionvaluefor122countriesfrom1950to2020.Pleasefindthelistofcommoditiesanddescriptionsin
AppendixA
.
Wecombineannualdataontheextractedquantitiesfromdifferentsources.Wetakehistoricprimaryproductiondatafor11commoditiesfrom
Mitchell(2013)
andincludedataoncopperandleadproductionfromthe
FederalInstituteforGeosciencesandNaturalResources
(2012)
.Theglobalhistoricproductionofmetalsistakenfrom
U.S.GeologicalSurvey(2012)
.
Wetakehistoricalworldpricesofcoalandmetalsfrom
Schmitz(1979)
and
Schwerhoff
andStuermer(2019)
,andpricesforoilandnaturalgasfrom
BP(2022)
.Weaccountforinfla-tionbyusingtheUSconsumerpriceindextodeflatethecommoditypricedata.Wecollectcountry-leveldataonmacroeconomicvariablesincludingrealGDPinlocalcurrency,nominalGDP,investment,privateandpublicconsumption,exportsandimports,therealexchangerate(relativetotheUSDollar),thecurrentaccountandemployment.Wesourcethedatafrom
Feenstra,Inklaar,andTimmer(2015)
.Weusedataonrealvalueaddedbyindustryfromthe
UnitedNations(2022)
.Finally,weincludemeasuresonpoliticalstabilityandinstitutionalqualityfromthe
CenterforSystemicPeace(2022)
following
Acemoglu,Naidu,Restrepo,and
Robinson(2019)
.
2.2Large,Persistent,andMacro-relevantExtractionDeclines
Acandidateepisodeisanyextractionpattern{Qt+k}=0overagiventimewindow,[t,T],foreachcountryandcommodity.Toobtainameasureofitsmacroeconomicimportanceforeach
identifiedepisodei,wecomputetheaveragevalueoftheextractiondecline(ADV)relativetothecountry’snominalGDPatthestartoftheepisode:
TiGDPt,i,
ADVi=1∑1∆Qt+k,iPt+k,i
(1)
7
whereQandParetheproductionandpriceofthecommodityconsideredandTisthedu-rationoftheepisode.
1
Thedurationofanepisodeisdefinedasthenumberofyearsbetweentheproductionpeak(t=0)tothetrough(t=T)wherethetroughisidentifiedasthefirstyearinwhichthefossilfuelsectoroperatesatthenew,permanentproductionlevelafterthedecline.
Episodesareinitiallyselectedusingthreecriteriapertainingtothesize,persistence,andmacro-relevanceofthedeclineinlinewithourobjectivetolearnmoreaboutthepotentialimpactoftheenergytransition:(a)Thecumulativedeclineinthequantityofproductionisatleast20percentfrompeaktotrough;(b)afterreachingthetrough,theproductionlevelhastoremainbelowitspre-shocklevelforatleast5years;(c)theADVisatleast0.05percent.Criteria(a)and(b)isolate154episode,addingcriterion(c)reducesthatnumberto70macro-relevantepisodes.
Thevalueofthedeclinescanbesizeable.Thelargestdeclinesintermsofaveragerevenuelossestookplaceinoil,copperandgoldproduction.Especiallydeclinesincrudeoilproductionseemtocomewithlargerevenuelossesofalmost20percentofGDPonaverage(
AppendixA
showstheaveragesizeandduration).
2.3ExogenousExtractionDeclines
Toidentifyepisodesofextractiondeclinesthatareplausiblyexogenous,wecategorizethemfirstbysixdifferentcausesbasedonanarrativehistoricalanalysis(inthespiritof
Romerand
Romer(2010)
and
Ramey(2011)
amongothers):
a.structuraltransitions(e.g.thebreakdownoftheSovietUnion)orwars,
b.globalrecessions,
c.policychangesaffectingalldomesticindustrialsectors,
d.policychangesaffectingonlytheminingsector,
e.depletion,
f.undefinedcauses.
1TheADViscloselyrelatedtotheNetPresentValue(NPV),whichisusedinempiricalworkonresourcewindfallslikein
Arezki,Ramey,andSheng(2017)
.WecannotcomputetheNPV,becausethedurationoftheexogenousdeclinesisex-anteuncertainandthediscountfactorcouldvaryacrosscountriesandtime.
8
Episodesincategories(d.)and(e.)areclassifiedasexogenoussincethedrivingfactorsaresupposedlyexogenousto(aggregate)domesticeconomicconditionsanddonotaffectothersectorsatthesametime.Insuchcases,themosttypicaldeclineiseithertheresultofachangeindomesticpolicyspecifictothecommoditysectorordepletion.
Domesticpolicychangesincludethenationalizationofminesorchangestothetaxregime.Forexample,Guyananationalizeditsbauxiteminesin1975.Subsequentmismanage-mentdrovedowntheirefficiencyandresultedinlargedeclinesinproduction.Anexampleforataxchange,isthesuddentaxincreaseonbauxitemininginSurinamein1974.Thistaxincreaseonlyaffectedbauxiteminingbutnotothersectors.Thelevyledtoadeclineinbauxiteminingbymorethan30percentoverthenextfiveyearsandapermanentlylowerproductionlevelthereafter.Weexcludeepisodesduringwhichpolicychangesarepartofabroaderchangeineconomicpolicies(e.g.,thenationalizationofallminingindustriesandredistributionoflandinZimbabwein1999).
Exogenousproductiondeclinesduetodepletionencompassinstances,whenthequalityofthedepositorreservoirdeterioratesforgeologicalreasonsorduetomissinginvestment.Thesetwofactorsofteninteractwitheachother.Inanycase,theresultishigherproductioncosts,makingproductionunprofitableandforcingtheminetoclosedown.Oneexample,isironoremininginEswatiniin1975,wherelowerorequalitymademiningunprofitableandresultedinfastdeclinesinproductionandthesubsequentclosureofmines.AnotherexampleisChad,whereagingoilwellsanddecliningreservoirqualityledtohigherproductioncostsandmadeinvestmentunprofitableafter2005.
Focusingonlyontheexogenousones,leavesuswith35episodesoflargeandpersistentdeclines.
Table1
providesthesummarystatistics,while
AppendixB
listsallepisodeswithmoredetailsabouttheirnarrative.
Figure1
showsthedistributionofthesedeclinesovertime.Theoccurrenceofshockepisodesisrelativelyevenlydistributedandisunrelatedtotheglobaleconomiccycle.
9
1
#ofDeclineEpisodes
2
Declineof
ExtractionQuant.
(%ofPeak)
3
Declineof
ExtractionValue
(Mil.USD)
4
Duration(Years)
5
Annualized
DeclineValue
(%ofGDP)
Bauxite
Copper
CrudeOil
Gold
Lead
NaturalGas
Nickel
Iron
Silver
Tin
Zinc
Total
3
3
18
3
1
2
1
1
1
1
1
35
-50
-78
-45
-52
-78
-54
-83
-78
-44
-65
-99
-96
-619
-10,000
-2,060
-11
-4,480
-98
-32
-14
-236
-95
5
13
9
7
6
6
7
5
8
6
7
-1.9
-0.6
-2.5
-0.4
-0.1
-0.1
-0.1
-1.7
-0.9
-1.2
-1.1
Table1:Summarystatisticsoftheexogenousdeclinesinextractionactivitybycommodity.
Notes:Column5(theaverageADV)istheresultofdividingcolumn3bycolumn4andtheGDPattimet=0foreveryshockepisodes.
Figure1:Distributionofextractiondeclineepisodesovertime.
Notes:MIC=MiddleIncomeCountries,LIC=LowIncomeCountries,HIC=HighIncomeCountries.Theshadedareasrepresentglobalrecessionsasdefinedby
Kose,Sugawara,andTerrones(2020)
.
2.4Anticipation
Decliningextractionactivityduetolowerorequalitybutalsoduetopolicychangescouldbeanticipated,leadingtheeconomytostarttheadjustmentbeforehand.Anticipationwouldbiasourestimationresultstowardsasmallernegativeimpactonaggregateoutput,becausetheregressionwouldnotcapturetheinitialadjustment.
10
Toassesstheextenttowhichshockswereanticipated,wereviewedinformationoncom-modityproductioninArticleIVconsultationreportsfromtheInternationalMonetaryFund(IMF)andcomparedthemtotheactualextractiondeclines.TheseIMFreportsaimatsumma-rizingallrelevantmacroeconomicinformationbasedondiscussionsandinformationprovidedbytherespectivecountry’sauthorities,theprivatesectorandIMFstaffestimates.Thebian-nualreportsalsotypicallyprovidea5-yearoutlookfortheeconomyandgiveguidanceonmacroeconomicandfiscalpolicies.
Wefindevidencethattheinitialdeclineinproductionwasnotanticipatedin24declineepisodesoutof29declineepisodeswithArticleIVStaffReports(see
AppendixB
).Theinitialdeclinewasfullyanticipatedinonlyfourepisodes.Foroneepisodeastaffreportwasavailablebutthecommodityproductionwasnotmentioned.TherewerenoArticleIVStaffreportsavailablefortheremainingsixepisodes.Wekeepthefourepisodesthatwereanticipatedinthesamplebutcheckthesensitivityofourresultstoanticipationin
Section8.2
.
WealsoconductadetailedexaminationofrevisionsincommodityvolumeprojectionsfortheentireepisodesforChadandGabon.Wechoosethesecountries,becausetheyfeaturesubsequentIMFArticleIVconsultationreportsthatcovertheentiretimeoftheepisodesandtheimportanceofoilproductionfortheireconomiesisamongthefivehighestinthesample.
Inbothcasesthedetailedquantitativeexaminationconfirmedthatextractiondeclineepisodeswereentirelyunanticipated.InthecaseofChad,theyearbeforethedeclinestartedproductionoverthenextfiveyears(2005-09)wasprojectedtoincreaseby25percentrelativetothepre-episodepeak(2005).Thisoptimisticprojectionwasm
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