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Sins of Omission and the Practice of Economics
George A. Akerlof1
Abstract Thispaperadvancesthepropositionthateconomics,asadiscipline,givesrewardsthatfavorthe“Hard”anddisfavorthe“Soft.”Suchbiasleadseconomicresearchtoignoreimportanttopicsandproblemsthataredifficulttoapproachina“Hard”way—therebyresultingin"sinsofomission."Thispaperarguesforre-examinationofcurrentinstitutionsforpublicationandpromotionineconomics—asitalsoarguesforgreatlyincreasedtoleranceinnormsforpublicationandpromotion,asonewayofalleviatingnarrowmethodologicalbiases.
1GeorgetownUniversity:[email protected],assummarizedinourjointpaper,G.AkerlofandMichaillat(2018).IamespeciallyindebtedtoRobertAkerlofandalsotoGlennEllison,HuiTong,RobertJohnsonandmyfellowpanelists(JamesHeckman(organizer),AngusDeaton,DrewFudenbergandLarsHansen)attheprecursorAmericanEconomicAssociationsession,“PublishingandPromotioninEconomics:TheCurseoftheTopFive?”inJanuary2017.TheCanadianInstituteforAdvancedResearchhasprovidedinvaluablefinancialsupport.
1
1.Introduction
Thisarticledrawsadistinctionbetween“Hard”and“Soft.”Itadvancesthepropositionthat
economics,asadiscipline,givesrewardsthatarebiasedinfavorofthe“Hard”andagainstthe“Soft.”
Thisbiasleadsto“sinsofomission":inwhicheconomicresearchignoresimportanttopicsand
problemswhentheyaredifficulttoapproachina“Hard”way.Itrecommendsare-examinationofthe
institutionsofpublicationandpromotionoftheeconomicsprofession.
2.HardandSoft
SinceAugusteComte(1853),ithasbeencommontoclassifysciencesaccordingtoaHard-Soft
hierarchy,withphysicsatthetop,andsociology,culturalanthropology,andhistoryatthebottom.2
Thisclassificationrelatestoprecision;anditcanbeappliedtosubfieldsaswellaswhole
disciplines.3Considerempiricalmethodologieswithineconomics.Quantitative—asopposedto
qualitative—analysisisonedimensionofbeingHarder.And,withinquantification,causalstatements
aremoreprecisethanthosethatonlyconcerncorrelation.Hence,empiricalworkthatfocuseson
identificationisconsideredespecially“Hard.”Economictheoryis“Harder"whenitisexpressedin
mathematicalmodelsratherthaninwords;andmathematicalmodelsareconsideredHarderwhenthe
mathcapturesfundamentalunderlyingideas/conceptsmoreprecisely.
2SeeCole(1983).3SeeSmithetal(2000).
2
3.SinsofOmission:AModel
Thissectionpresentsasimplemodelof"sinsofomission"inthespiritofEllison(2002b).
Anacademicresearcherselectsfromasetofpossibleresearchtopics.Thesetopicscan
becharacterizedalongtwodimensions:(1)Hardness(i.e.,theeaseordifficultyofproducing
preciseworkonthetopic)and(2)Importance.4
TheresearchervaluesbothHardnessandImportance;buttheweightheplaceson
HardnessleadshimtotradeoffHardnessandImportanceinasociallynon-optimalway.Inthis
sense,heisbiased.(Wewilldiscussthereasonsforsuchbiaspresentlybut,fornow,takeitas
given.)
Figure1depictsthesolutiontotheresearcher’sproblem.Whiletheresearcherchooses
atopiclyingalongthe“frontier,”thefrontiertopichechoosesdiffersfromthesocialoptimum.
Hischosentopic(TopicA)isbothHarderandlessImportantthanthesocialoptimum(TopicB).
Ifweaggregateacrossallresearchers,weobtainapredictionaboutthe“cloud”of
topicstheprofessionwilladdress.ObservethattherewillbeasetofImportantbutSofttopics
whichwillnotbepursued;inthissense,biastowardstheHardintheprofessiongenerates“sins
ofomission.”
4 InEllison'smodel(2002b),researchersfaceatradeoffbetweeninvestingintheq-qualityoftheirresearch(whichisequivalenttoImportance)andther-qualityoftheirresearch(whichisequivalenttoHardness).Ellisonarguesthatdifferentnormsmayprevailintheprofessionwhichplacedifferentweightsonq-andr-quality.
3
Figure1
Trade-offbetweenHardandSoftwithchoiceoftopicsonfrontieraccordingtomaximizationofindividualutilityatPointA,andaccordingtomaximizationofsocialwelfareatPointB.
4.ReasonsforBiasTowardsHard
Thequestionremains:whydoeconomistshaveHardnessbias?Isuggestthreepossible
reasons,whichalso,atleastpartially,explainwhythisbiashasbecomestrongerovertime.
Reason1:PlaceintheScientificHierarchy.Intheirarticle“TheSuperiorityof
Economists,”Fourcade,OllionandAlgan(2015)arguethateconomists"seethemselvesator
nearthetopofthepeckingorderamongthesocialscientists."5Economiststakegreatpridein
theirviewoftheirdisciplineas"themostscientificofthesocialsciences,"andtheylookdown
uponsociologistsandpoliticalscientistsfortheir"lesspowerfulanalyticaltools."6Thisdesire
forplaceinthepeckingorder,Iwouldargue,isaleadingmotiveforHardnessbias.
Reason2:TheEvaluationProcess.Rewardssuchasjournalacceptancesaregenerallymeted
outbycommittees(inthecaseofjournals,thecommitteesconsistofeditorsandreferees).When
rewardsarescarce,obtainingthemrequiresthatmost/allcommitteemembersconsent.
Precisionisarelativelywell-definedconcept;hence,itiseasyforpeopletoagreeregardingthe
Hardness/Softnessofresearch.Incontrast,Importanceisfuzzy,sothatitisrelativelyeasytodisagree
5Asslightlyparaphrasedandrearrangedfromtheoriginal.Thephrase"seethemselves"wasitalicizedintheoriginal.6AlsoquotedbyFourcade,OllionandAlgan(2015)fromFreeman(1999,p.141).
4
regardingitsImportance.ThistendencyfordisagreementonImportanceisexacerbatedbytendencies
toinflatetheImportanceofone’sownworkanddeflatetheImportanceofothers’.
TheimplicationisthatevaluationsbycommitteeswillbebiasedtowardtheHard.
Furthermore,thescarcertherewards,thegreateristhelikelihoodofsuchbias.
Reason3:SelectionintotheProfession.Academicsarenotallthesame.Thegreaterthe
biastowardstheHardintheprofession,thegreaterwillbeselectionintoitofthosewith
intrinsictastesinthatdirection.Indicativeofsuchselection,Mankiw(2006)hasadvised
prospectiveapplicantstoeconomicsPhDprogramsto"takemathematicsuntilithurts."But,
Mankiwgentlyaddedthatinhisopinionthesestandardsaretoostrict;ifhewereamemberof
theadmissionscommittee,he"mightarguewith[his]colleagues'...excessive[sic]fondnessof
mathematics."7
Justasrewardsaffectselection,sotoodoesthemixoftypeswithintheprofession
affectrewards.WhenHardtypesareprevalent,theyoccupymoreoftheprofession’spowerful
positions(suchasjournaleditorships).Fromtheseprominentpositions,theybiasrewards:for
instance,byselectingHarderarticlesforpublication.Ofcourse,thesamebiaswillaffect
promotions.8
7 Mankiw(2006). 8 Twopapers—onebyBrockandDurlauf(1999),theotherbymyselfandPascalMichaillat(AkerlofandMichaillat(2018))—showthatbeliefsinascientificfieldwillconvergeifitspractitionershaveadesireforconformity.InBrockandDurlauf,scientistscontinuallyadjusttheirbeliefstoreducethedistancebetweentheirthinkingandthebeliefsofothers.InAkerlofandMichaillat,evaluatorsofcandidatesfortenurearebiasedinfavorofthosewithsimilarbeliefsandalso againstthosewithdifferentbeliefs. Inbothcases,thebeliefsconverge.Furthermore,thatconvergencewillnotnecessarilybetotheTruth(ortobestpractice).Onthecontrary,becauseofReason1(theroleofHardnessinthescientificpeckingorder)andReason2(itsfacilitationofagreement),followingfromthecomparativestaticsofequilibriuminAkerlofandMichaillat,thoseuniformbeliefsarelikelytohaveHardnessbiasinturn.
5
OnereasontheprofessionseemstohavegottenHarderinrecentyearsisanegativefeedback
loop.BiasedrewardshavecausedtheprofessiontointrinsicallyvalueHardnessmore;theintrinsic
valueplacedonHardnesshasledtomorebiasedrewards.
5.SomeConsequencesofHardnessBias
ThissectionexploresthreeconsequencesofHardnessbias.
Consequence1.BiasagainstNewIdeas.Sofar,wehaveclassifiedtopicsaccordingtotheir
“Importance”andtheir“Hardness.”AnotherrelevantdimensioniswhethertopicsareNeworOld—or,
inKuhn’s(2012)terminology,whethertheyentail“normal"or“revolutionary”science.NotallNew
topicsareImportant;but,clearly,themostImportanttopicsareNew.Hardnessbiasinhibits
acceptanceofNewtopicsinatleasttwodifferentways.
First,Oldtopics/paradigmshaveavarietyoftoolsthataidprecision:suchasestablished
terminologies,conceptualframeworks,andempiricalmethodologies.WithbiastowardtheHard,
academicsworkingwithinsuchacceptedparadigmshaveanadvantage,sincetheycanborrowatwill
fromsuchtoolkitstostatetheirideasprecisely.Incontrast,thosewhoarepresentingaNewidea,are
disadvantaged,sincetheymustdeveloptheirowntools.AsexpressedbyFrey(2003,p.212)):"anew
ideaislesswell-formulatedthan...well-establishedideasandthereforerejectedforlackofrigor."In
thisway,demandforprecision(forHardness)impedestheintroductionofNewideas.
ThesetheoreticalfindingsofbeliefconvergenceunderrathergeneralconditionsaccordwithKuhn's(2012)viewthatscientistsbasetheirworkoncommonly-heldparadigms.Thoseparadigmsdonotjustpertaintosubjectmatter;theyinclude,aswell,beliefsaboutappropriatemethodologyfortherespectivefield.
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Second,Hardnessbiasreducestheabilitytochallengeexistingparadigms.Accordingtousual
procedureineconomics,asinsciencemoregenerally,Oldideasareonlyrejectedwhentheyareshown
tobeinferiorintestsagainstNewideas.SinceFriedman(1951)’sclassicessay,ithasbecomeall-but-
uncontestablethatnewtheoriesneedtogeneratetestablepredictions.Thisbeliefmayseem
innocuous;but,inpointoffact,itinvolvesrejectingSoftertestsoftheories,suchasthosewhich
evaluatemodelsbaseduponthequalityoftheirassumptionsaswellasthequalityoftheirconclusions.
Itespeciallyentailsexclusionofevidencefromcasestudies,whosedetailedevidencecanbehighly
informativeregardingcontextandmotivation.9WhileHardertestswithstatisticaldatamaybeagold
standard,restrictingthesetofpermissibletestsreduces—perhapsgreatly—theabilitytotesttheories.
Hence,biastowardstheHardmakesustooacceptingofexistingtheoryandinsufficientlywillingtobe
self-criticalasaprofession.
Consequence2.Over-specialization.BiastowardstheHardalsoencouragesover-specialization.
Generalistsneedtomeetthestandardsofprecisionformultiplefields,whilespecialistsneedonly
meetthestandardsofone.Hence,itiseasiertobeHardasaspecialistthanasageneralist.The
greaterthebiastowardstheHard,themorespecializationweshouldseeineconomics.
Indeed,specializationappearstobeincreasinginourfield.10Asonesymptom,
departmentsareincreasinglybalkanizedintosubfields,each,forexample,withitsown
9Fortheadvantagesofcasestudies,seeFlyvbjerg(2006).10 Sobel(2000,2001)hasproposedmodelsinwhichashock"decreaseinstandards"foronegenerationofapromotionchainwillleadtofurtherdeclinesinstandardsinfuturegenerations.ConsiderhowsuchadynamicwouldplayitselfoutwithashockintastestowardHardness(orSpecialization)andagainstImportance.SuchashockinaTime-0generationwillbereflectedinthepromotionsbytheeliteofTime0totheeliteofthenext(Time1)generation.BecauseoftheTime-0shock,thepromotionsbytheTime0-eliteintotheeliteofthenext(Time1)generationwillhaveincreasedbiasintastestowardtheHard/againsttheImportant;likewise,
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respectiveseminarseries.Theproliferationofsubfieldjournalsisanothersymptomofthe
trend.11
Consequence3.Evaluationsbasedonpublicationsin"TopFive.".Aswegaveseen,Hardness
biasresultsinspecialization.That,inturn,resultsinincreaseduseofjournalmetricsforevaluations.
Ineconomics,thishasespeciallytakentheformofevaluationsbasedonnumberof"TopFive"
publications.
Tenure,likemostotherrewardsintheprofession,ismetedoutbycommittees.Asone
approach,tenurecommitteescanevaluatethequalityofcandidates’work.However,discussionsof
candidates’workarelikelytobefraught—especiallywhentheprofessionisbalkanizedintosubfields.
Asalreadyexplained,academicsdisagreeaboutwhatisImportant;andtheretendtobesystematic
differencesofopinionacrosssubfields.
Buttenurecommitteescanfinessesuchdisagreementbyuseof"hard"metrics,ifthosemetrics
arealso—atleastarguably—neutralregardingsubfields.Thusitshouldnotbemuchofasurprisethat
HeckmanandMotan(2017)havefoundthateconomicstenure-and-promotioncommitteeshavegiven
increasingweightto“TopFive”publications(allofwhicharegeneral-interestjournals,with
thesepromotionswillwillalsohaveincreasedbiasinperformance,towardtheHard/againsttheImportant.Butthen,whentheTime1elitemaketheirpromotions,bothofthosebiases—intastesandinperformance—willbereflectedintheirpromotionstotheeliteofTime2:first,becauseofTime1'sincreasedbiasintastes.Butalso,iftheTime1eliteusesitsownperformanceasareferenceforpromotion,thattoowillresultinincreasedbiastowardtheHard/againsttheImportant.Wecouldimaginesuchasequenceintheprocessofincreasedbiastowardspecialization (whichisoneaspectofHardness). 11Inlinewiththethemesofthisarticle,therehasbeenpush-backagainstexcessivespecialization(andalsoHardness)inbiology.SeeCasadevallandFang(2014b).
8
presumptionofsubfieldneutrality).12AsCasadevallandFang(2014a)havealsoobserved,thereisan
additionalbenefitintheuseofjournalmetrics—forthe“lazy.”
6.StateoftheProfession
Acollageofstatisticssuggeststhatresearcheconomists,especiallyyoungones,find
themselvesinanenvironmentthatcouldeasilyleadtosinsofomissionbecauseofexcessive
demandsforcomplianceinfavoroftheHardrelativetotheImportant.Assistantprofessorsat
researchuniversitiesarenotinagoodpositiontoputupmuchfightagainstthedictatesof
whatthejournalswant:especially,aswehaveseen,withTopFiveacceptancesplayingan
outsizeroleingrantoftenure.
Thedemandsbythejournalsarejustonemoreinalongseriesofpreviousdemandsfor
academiccompliancethatbegininhighschool,ifnotyetearlier.Thesearedemands:forhigh-
schoolperformancetoobtaincollegeacceptance;toobtainsufficientgrades/lettersof
recommendation/GREscoresforadmittancetograduateschool;toobtainthePhD;fora
graduate-schoolrecordsufficienttoobtainaladder-trackacademicjob.Ofcourse,allthat
compliance,usefully,forceseconomiststomasterthefield'scurrentparadigm;thosewhowish
tocorrectitsomissionshavespecialneedforsuchunderstanding.But,justastherecanbetoo
littledemandforcompliance,therecanalsobesomuchthatimportantproblemsare
neglected:eitherbecausetheproblemsthemselves,orthebestwaystotacklethem,are
deemedoutsidetheframeofwhatisacceptableinthejournals.
12WeightingpublicationsbytheirJournalImpactFactorsisanothermechanismforreachingconsensus.
9
Thestatisticsonacceptancessuggeststheneedbyresearchers,especiallythoseonashort
tenureclock,toaccordwiththejournals'demands.Atthejournals,rejectionisthemode.According
toCardandDellaVigna(2013),circa2010,thoseinfluential"TopFives"hadacceptanceratesofonly6
percent.Thatfigurewasdownsome60percentfrom15percent,some30yearsearlier.Such
difficultyofpublicationisindicatedmoregenerallybyConley,Crucini,DriskillandÖnder(2013),who
measured"AER-equivalent"publicationsoftheannualcohortsofUnitedStatesPhDrecipientsfrom
1986to2000.Betweenthosecohorts,AER-equivalentpublicationsixyearsaftergraduationfellby
approximately40percent,forallofthe99th,95th,90th,85th,80th,75thand50thpercentiles(Conley,
Crucini,DriskillandÖnder(2013,Table3,p.1263)).
Youngacademiceconomistsfacingthetenureclockarethusincreasinglypressed.13Evenif
theyhaveopinionsdifferentfromwhat'sacceptabletotheeditorsandtothereferees,theystillmust
comply.First,evenbeforebeginningapaper,theymustconsiderwhetherthefinalproductwillbe
journal-acceptable.Andthentheymustdecidehowtoframeit;forexample,asan"AER-paper,"or
13However,whilethedataonchangesareunambiguous,thedataonthelevelofdifficultyforyoungpeopleisslightlydifficulttointerpret.ConleyandÖnder(2014)presentedseeminglydirestatisticsregardingpublicationbyrecentgraduates."Evenatthetopfivedepartments,"theysay,"itwouldbehardtoagreethatthebottomhalfoftheirstudentsaresuccessfulintermsofeconomicresearch.TheAER-equivalentpapersatthemedianatyearsixwasbelow0.1forallfiveoftheseschools,andinfactatzeroinmostofthem."13Furthermore,eventhe80thpercentileofgraduatesofalleconomicsPhDprograms,withtheexceptionofPrinceton(at1.01)andRochester(at1.14))waslessthanonesuchAER-equivalentpublication.ButinterpretationofthesenumbersmustalsotakeintoaccountConleyandÖnder'smuch-less-than-one"equivalence"creditsformostnon-AERpublicationsandalsotheirprorationofcreditsbynumberofco-authors(forexample,two-authoredpapersaregivenonlyhalfcredit).However,theirfindingsareingeneralaccordwithaten-year-afterwardssurveyofUSPhDgraduatesoftheacademicyear1996-1997byStockandSiegfried(2014).Forthoserespondentswhohadinitiallyreceived"full-timepermanentacademicpositions"(i.e.,tenure-trackjobs),mediantop-50-economic-journalspublicationswas1;themeanwas2.0(Table4,p.297).
10
possiblyasan"REStud."Wehavenostatistics,inthisregard,concerninghowinitialdecisionsare
influencedbyconceptionsregardingwhatthejournalswillorwillnotaccept;butEllison(2002a)has
compiledstatisticsregardinganotheraspectinwhichthejournalshaveincreasinglytakenoverfrom
theauthors.
AccordingtoEllison,beforethe1960s,revise-and-resubmitswerefairlyrare(2002a,p.984).
Insofarastheyoccurredatall,theauthorwouldquicklysubmittherevision;rejectionwasuncommon.
Butanarrayofstatistics(Ellison2002a)showsthatthelengthoftimebetweensubmissionandfinal
acceptancehasincreasedgreatly(bothineconomicsandinotherfields).Theaverageincreaseatnine
economicsjournalsforwhichthedatawasavailablewasalmost185percent—from6.1monthsin
1970to17.3monthsby1999.14
Ellisondoesafurtheranalysisfordifferentjournalsregardinghowtheseincreasesaredivided
betweensubmissionandreceiptoffirstreview,andbetweeninitialrequestforreviseandresubmit
andacceptance.Hesummarizestheevidenceassayingthat"[roughly]one-quarteroftheslowdown
mayoccurbecausejournalsmaytakelongertoconductinitialreview"15:sothattheremainingthree
quartersoftheincreaseareduetotheincreasingdemandsforreviseandresubmit.Butthatprocess
is,ofcourse,almostentirelyaboutansweringthereferees,mostlytomaketheseto-be-accepted
papersmoreprecise.ThisevidenceissymptomaticofincreasingemphasisonHardness.Additionally,
itshowsthatmuchofthisincreaseddemandforHardnessiscomingfromdemandsbythejournals
themselves.
14Ellison(2002a,Table1,p.953).15Ellison(2002a,p.958).
11
Ellisonalsosuggestsanotherindicator:pagesperarticle.Economicjournalarticles,hesays,
have(2002b,p.994-995)longerintroductions,moreextensionsofmainresults,andmorereferences.
And,alloftheseincreasesare,ofcourse,associatedwithwhatthispapercalls"greaterHardness."At
theTopFive,between1970and2010,paper-lengthhasalmosttripled.16
Insum,theeconomicsprofession,especiallyforyoungerresearchershasrapidlybecomemore
competitive.Themarketforacademicresearch,whichistheeconomicsjournals,leavesthe
researcherswithnochoicebuttoforeseethedictatesofeditorsandreferees,evenintheirinitial
conceptionofpapers.Theymustcontinuetocomplywiththoseeditorsandrefereesespeciallyafter
theyhavebeenluckyenoughtoreceiveareviseandresubmit.Thestatisticalevidencesuggestswhat
probablyeveryresearcheconomistofmyageknowsfrompersonalexperience:astimehaspassed
thosedemandshavebecomeincreasinglyinsistentandhaveincreasinglyemphasizedHardness.
Furthermore,theemphasisonHardnessislikelyattheexpenseofImportance.Asurveyof
economicsgraduatestudentsbyColanderandKlamer(1987,Table4,p.100)thusfoundthatonly3
percentofeconomiststhoughtit"veryimportant"fortheirsuccessto"haveathoroughknowledgeof
theeconomy";incontrast65percentthoughtit"veryimportant"tobe"smartinthesenseofbeing
goodatproblemsolving."Additionally,whenaskedretrospectivelyabouttheirPhDprograms'
emphases,morethanhalfoftwoseparategraduate-cohortssaidthattheirprogramsplaced"toolittle
emphasisonapplyingtheorytotherealworld"(HansenandStock,2004,p.267,Table1).These
opinions,arethussuggestiveofanenvironmentthatcouldspawnsinsofomission,becauseofbias
towardtheHard,andagainsttheImportant.
16CardandDellaVignahavecomputedthatbetweentheearly1970'sand2011-2012theaveragepagelengthofpapersat"thetop-five"increasedfrom16pagesto45.5(CardandDellaVigna,(2013,p.150andFigure4,p.151)).(Page-lengthswere"adjustedfordensity.")
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7.ExamplesofSinsofOmission
Thissectionpresentsafewexamplesofsinsofomissionfromeconomicsthatarerelatedtomy
ownrecentresearch.Thefollowingsectionwilldiscussimplicationsoftheseexamples.
FailuretoPredicttheFinancialCrisis.Intheaftermathofthefinancialcrisisof2008,economists
askedthequestionwhynoonehadpredictedit,atleastexactlyasithappened.Rajan(2011)saidthat
suchapredictionhadnotbeenmadesinceitwouldhaverequireddetailedknowledgeoftheoryand
institutionsinthedisparatespecialtiesoffinance,realestateandmacroeconomics.
Curiously,priorto2008,thosesubfieldshadlaidoutalltheelementsthatwerelaterdeemedto
havebeenthecauseofthecrisis.17Thosecontributionsincludedthepossibilityofafire-salecrashin
assetprices,drivenbythepostingofdodgyassetsascollateral;othersourcesoftail-risk;ahousing
bubble;theerosionofstandardsformortgageloans;theconflictofinterestbyratingsagenciespaidby
theissuersofthesecuritiesthattheyrated;andinteractionbetweenthemacroeconomyandthe
financialsystem.18Alltheelementswerethere.ButonlyRajan(2005)cameclosetocrossingallthe
necessarysubfieldboundariesnecessarytopredictthecrisisasithistoricallyoccurred.
17See,forexample,thereportoftheFinancialCrisisInquiryCommission(2011)regardingthosevariouscauses.18Reviewspost-crashalongwiththepre-crasharticlesthemselvesindicatethateverysignificantaspectofthecrashhadbeenthesubjectofworkbyeconomists:forexample,onfire-salecrashes,seeShleiferandVishny(2011)andMooreandKiyotaki(1997);onmis-accountingofcurrentprofitsthatwouldencouragetailrisk(forexample,seeHealyandParepu(2003)andPartnoy(2003));onthehousingmarket(forexample,seeGramlich(2007)andShiller(2012));onconflictsofinterestregardingpaymentstoratingsagencies(forexample,seeWhite(2010)andJiang,Stanford,andXie(2012));andontheinteractionbetweenthemacroeconomyandthefinancialsystem(seeforexample,BernankeandGertler(1995)).
13
Therewereincentivestopresentthekeypiecesofthepuzzle,butnonetoputthemtogether.
FollowingCaballero(2010),regardingtheory,amodelwithallthepiecescouldnothavebeen
published;itwouldhavebeenconsideredtoofarfromprecise,simpleideas(suchasthosethat
motivatesimplenewKeynesianorDSGEmodels);and,inthisway,tooSofttomeritpublication.19
Regardingpredictionsfromempiricalevidence,thecrucialdatawouldhavebeenofthewrong
form.Dataontailriskwouldhavebeenrevealing.Butaneconomistwhohadbeenluckyenough,or
insightfulenough,toobtainsuchdataandperceiveitsimplications,wouldhavehadanotherhurdleto
cross.EvenIfshehaduncovered,forinstance,AIG’s533billiondollarsofcommitmentstoinsure
securitiessuchasCDS's,20shewouldhavestillneededtoturnitintothebasisforapublishablepaper.
Those533billiondollarsindicatedtailriskofsufficientsizetothreatenagiganticcrashofthefinancial
system;butitwasonlyasinglenumber.Itwasnotthestatisticalevidencethattypicallyunderlies
empiricalpapersineconomics.
ThisexampleofHardstandardsresultinginasinofomissionisstillofimportancetoday,some
tenyearsaftertheCrash.ReinhartandRogoff(2009)havetoldusthat"ThisTimeIsDifferent"—
19Caballero(2010)thusexplainswhymacroeconomistsdidnotpredictthecrisis.Hedividesmacromodelsintowhathecalls“Core”and“Periphery.”TheCore,hesays,isaDSGEorastandardKeynesianmodel.TherewasalsoaconsiderablePeripheralliterature,whichexploreddeviationsfromthisCore:butonlyonesuchdeviationatatime.Caballerogivesthemethodologicalreasonforsuchamodelingstrategy:“Theperipheryisaboutisolatingspecificmechanisms.[Therefore]itsurroundsthesourcesofthesemechanismswithassumptionsdesignedtokillunwantedeffectsthatwouldpollutethemessage.”(p.91)HesaysthattheoreticalmodelswereallowedtomakeonedeviationfromeitherastandardKeynesianmodeloraDSGEmodelatatime;buttheseveraldeviationsneededtopredictthecrisiswasoutsidetherangeofthepublishable.20FinancialCrisisInquiryCommission(2011,p.141).
14
meaningthatitisn't.21Now,in2019,forthesakeofprevention,policymakerscontinuetoneed
predictionsofwhen,whereandhowthenextCrashcanhappen—asmuchastheyhadneededsuch
analysisbackintheearly2000's.TheHardstandardsforwhatispublishable,meantthattherewasno
incentivetomakesuchapredictionthen.Thatremainstruenow.
Motivations.Intraditionaleconomictheory,motivationscomefroma-priori
assumptionsregardingwhatpeopleplausiblymaximize.Butthereisamuchlessrestrictive,
andmoregeneral,characterizationoftherangeofpossiblemotivations22:thatpeopleare
motivatedthroughthestoriestheyaretellingthemselvesatthetimetheymaketheirdecisions.
Inturn,insofarashumanthinkingcanbedescribedasoccurringthroughstories,thatmeans
thatpeoplearemotivatedthroughthestoriestheyaretellingthemselves.23Thecoreof
sociologyandculturalanthropologyisethnography,whosegoalistouncoverandinterpretthe
storiesthatpeoplearetellingthemselves.Butthecase-study,interpretivemethodologyof
ethnographyisconsideredSoft.
Theprecedinglogicsuggeststhat,generally,thebiasesagainsttheSoftandagainstthe
Newcausebehavioralexplanationstobedownplayedineconomics.Thelogicfurthersuggests
21 Twootherincidentspriorto2008demonstratethevulnerabilityofthemoderneconomytofinancialcrash(evenpriortothemortgage-backedsecuritiesbubbleoftheearly2000s).SeeEdwards(1999)andLowenstein(2000)onthethreatofbankruptcyofLongTermFinancialManagementandLelandandRubinstein(1988)onportfolioinsuranceandthecrashof1987. 22Thisgeneralitygoesconsiderablybeyondtheconsiderationsincurrentbehavioraleconomics.23SeeR.Akerlof(2017)andCollier(2016)fortheroleofstoriesineconomics.Likewise,MorsonandSchapiro's(2018)CentsandSensibilityalsoemphasizesstoriesasamissingfactorineconomists'representationsofmotivations.McCloskeyhasalsostressedtheroleofnarrative;forasummaryofherrecentviewson"whatiswrongwitheconomics,"seeMcCloskey(2014).
15
thatourclassofbehavioralmodelsisstilllimitedandhaveyettosufficientlyincorporateideas
fromsociologyandanthropologythatemphasizetheimportanceofstories.
Casestudieshelpusseewhatconstitutegoodassumptionsforourmodels,astheyalso
helpmakethecaseforbehavioraloverclassicalmodels.Economists'currentFriedman-type
approach,whicheschewstestingmodelsbasedonassumptionskeepsusawayfromcase
studies.Agoodhuntinggroundforsinsofomissionwillconcernthestoriespeopletell
themselves,butthatareoutsidetherangeofwhateconomistswoulda-priorisurmiseunderlie
"utility."Fourexampleswillfollow:eachofthemillustratingtheunappreciatedroleofstories
ineconomics.
Example1.TheSovietUnion.24TheanalysisoftheeconomicsoftheSovietUnionhas
demonstratedthefailuresofitssystemofcentralizedplanning.25Butthisanalysishasignoredanother,
perhapsequallynegative,aspectoftheSovieteconomy.TheBolshevikspromotedthestorythat
planned,forcedindustrializationwouldrapidlycreateaneconomicparadise;sothateventhesmallest
interferencewiththePlanwouldwarrantthemostseverepunishment.26
Thisstorylegitimatedmuchcruelty.AccordingtotheFirstFiveYearPlan,industrywouldfeed
tractorstoagriculturetomakegrain;andagriculturewouldfeedgraintoindustrytomaketractors.But
accordingtothestory,whenthedeliveriesofgrainintheUkrainefellshortofPlantargets,thefaultcould
notbewiththePlan.Instead,theshortfallsmustbeduetosaboteurs,whowerequicklyidentifiedas
kulakfarmersanddulydeported—sometoSiberia.Thosedeportations,inturn,reducedgraindeliveries
24ThisexampleisbasedonG.AkerlofandSnower(2016).25See,forexample,Ericson(1991)forsuchanalysis.26AlsoseeGarai(2017)forsuchaninterpretationoftheroleofidentityunderSovietCommunism.
16
yetfurther,especiallysincethesericherpeasantshadbeencontributingmorethantheirsharetothe
Plan'stargets.Asafinalstep,thepeasantsoftheUkrainewerethenforcedontocollectivefarms,where
theywouldusethetractorspresumptivelybeingproducedbyindustry.Thismoveaggravatedthe
disasteryetfurther,sincetakingahorse(oracow)ontoacollectivefarmwouldhavebeenahuge
liability;itwouldhaveidentifieditsownerasa"kulak."Whenthetractorseitherdidnotshowup,or
brokedowniftheydid,grainoutputfellyetfurther.TheUkrainianfamine,theholodomor,followed.At
everystepinthistragedy,"thestory"playedamajorrole:asitlegitimatedtheforcedmeasuresusedto
carryoutthedysfunctionalplan.
Example2.SmokingandHealth.Thereisafineliteratureontheeconomicsofsmoking.For
example,itestimatestheeffectsoftobaccotaxesonthedemandforcigarettes.27But,regardingsmoking
andhealth,anothertypeofpublicpolicy—largelyignoredbyeconomists—hasalsobeenremarkably
successful.Intheearly1960's,theU.S.SurgeonGeneral,LutherTerry,convenedanadvisorycommittee
tospelloutwhatwasknownaboutthequestion.Theresultingreport,SmokingandHealth:Reportofthe
AdvisoryCommitteeoftheSurgeonGeneralofthePublicHealthService,28changedthelegitimacyofviews
regardingsmoking.Withthisdocument,theU.S.governmentofficiallycreatedthestory:“smokingis
stupid.”29Ittherebyrefutedthecontentionsofthetobaccoindustrythattherelationbetweensmoking
andhealthwasundecided.Anti-tobaccoactiviststhenusedthisstorydowntheroadincrucialactions
thatresultedintheprohibitionoftobaccoadsonradioandTVandlater,thatjustifiedregulationsagainst
indoorsmokinginpublicplaces.(Thisbanonindoorsmokinghasbeenremarkablyeffective;witheach
puff,theoutdoorsmokers'expressionspropagatestoallpassers-bytheoriginalmessagethat"smokingis
27Seereferences,forexample,inDeCiccaetal(2002).28U.S.SurgeonGeneral(1964).29SeeG.AkerlofandShiller(2015,Chapter8),forthisinterpretation,includingwhatfollows.
17
stupid."30)FromthetimeoftheSurgeonGeneral'sReporttothepresentday,thefractionofadult
smokersintheUShasdeclinedfrom42percentto15.5.31Theroleofthestoryhasonlyawalk-onpartin
smokonomics32;but,absenttherestrictionsagainstSofttheoryandSoftevidence,thisstorywouldbea
staroftheshow.
Example3.GlobalWarming.Theroleofstoriesfallsoutsidetherangeofthestandardeconomics
ofglobalwarming.Yet,beyondthephysicalproblemofclimatechangeitself,thereisasecond
inconvenienttruth.AmongtheU.S.public,therearenotonlythosewhoviewglobalwarmingasoutright
hoax33;manymorealsofailtoperceiveitsurgency.34Thestoriesthatjustifycontinuedinaction,year
afteryear,areasimportantasthephysicalrealityofglobalwarmingitself.35Theimpactofthosestories,
howtheyareformed,andhowtheymightbealtered,areasimportantasissuessuchascapandtrade
arrangementsandcarbontaxesthatarenowcentraltotheeconomicsofclimatechange.
30Brandt(2007,p.267andp.288).31For42percentsmokersin1964,seeU.S.SurgeonGeneral(1979,Table2,p.A-10).For15.5percentcurrentsmokersin1917,seeU.S.CentersforDiseaseControlandPrevention(2017).32 DeCiccaetal(2002,2008)showthatestimatesoftheelasticityofdemandforsmokingwillbeoverestimatediflegislatorsarelessreluctanttovotefortobacco-taxincreasesinstateswithgreateranti-smokingsentiment.Thisworkgoesasignificantwaytobringingthe"smoking-is-stupid"storyintosmokonomics.But"anti-smokingsentiment"neednotjustbeanindependentvariable,asinDeCiccaetal.Toexplorethefullroleof"anti-smokingsentiment,"itmustalsobeadependentvariable.Thatalsoaddsanomittedpolicyvariabletoanti-smokingpolicy.33See,forexample,Inhofe(2012).34InaMarch2017Gallupenvironmentalpoll45percentofAmericanssaidthey“worriedagreatdeal”aboutglobalwarming.http://www.gallup.com/poll/206030/global-warming-concern-three-decade-high.aspx.But,whenrankedwithotherissuesthey“worryaboutagreatdeal”itusuallyplacesat,ornear,thebottom.InaMarch2015polltheyrankedit15thoutof15issues.Thepreviousyearithadbeen14th.http:www.gallup.com/poll/182018/worries-terrorism-race-relations-sharply.aspx. 35 Wefurtheradd,parenthetically,thatthepublic'santipathytocarbontaxesisanotheroddstorythatinhibitsclimate-changepolicy.
18
Example4.Macroeconomics.TheroleofstoriesineconomicshasbeenstressedbyShiller(2000)
forsometime;hisAmericanEconomicAssociationPresidentialaddresson“NarrativeEconomics”(Shiller
(2016))providesmanyfurtherexamples.Amongthem,36Shillersaysthatthenear-constancyoftheratio
betweenthemoneysupply(M)andnominalincome(Y)intheGreatDepression,maynotindicatethatM
causesY,asclaimedbyFriedmanandSchwartz(1967).Instead,Shillerargues,itislikelythatthestories
peopleweretellingthemselvesastheDepressionunfoldedandincomedeclinedwouldhavedecreased
peoples'willingnesstoholdmoney.Thus,heattributestheconclusionsofFriedmanandSchwartz(2008)
regardingthecausalityofMtotheomissionofavariable:thestoriespeopleweretellingthemselves.
8.CommentonExamplesofSinsofOmissionandWhyTheyHaveNotBeenChallenged
Theexamplesoftheprevioussectionallowusalsotoseeareasonwhymanysinsofomissionin
economicshaveremainedunchallenged.
Kuhn'sScientificRevolutions(2012)describesscientificprogressasoccurringas"normalscience"
uncovers"anomalies"withexisting,generallyacceptedparadigms."Scientificrevolutions"thatexplain
accumulationsofsuchcontradictions,thenleadthewayforwardtonew,betterparadigms.ButKuhn's
optimisticviewof"scientificprogress"failstoperceiveapossibilitythatisparticularlyrelevantto
economics.Supposetheparadigmnotonlydescribesthesubjectmatterofthefield;supposeitalso
describesthefield'sappropriatemethodology.Inthiscase,observationsthatcontradicttheexisting
paradigmwillbedismissediftheyviolatetheprescribedmethodology.TheHardnesspolicewillrule
themout,asinadmissibleevidence.
36Shiller(2016,p.989).
19
Wecanrestatethepreviouspropositioninanotherway.Webster'sdictionarygivestwo
definitionsof"economics."First,itisdescribedbyitssubjectmatteras"asocialscience
concernedchieflywithdescriptionandanalysisoftheproduction,distribution,and
consumption ofgoodsandservices."37But,Webster'sdictionaryalsohasaseconddefinition.
Economicsis"economictheory,principles,orpractices." Thatcorrespondstowhatistaught
ingraduatePhDprogramsineconomics.AccordingtoCraighead(2010),"EconomicsPh.D.
programsaretryingtotrainstudentstobecomeproductiveresearchers,nottoteachthem
abouttheeconomy"[italicsandunderliningintheoriginal].Thatis,PhDstudentsaretaught
theHardmethodsofeconomicresearch:mathematicalmodelingandstatisticalanalysis.
Abriefreviewoftheexamplesoftheprevioussectionshowsthatnoneofthemwould
qualifyas"sinsofomission,"accordingtothesecond,methodologicaldefinitionofthefield:
sinceeachoftheexamplesentailsmethods,oruseofevidence,thatisoutsidecommon
practicetaughtingraduateschools.Wesaw(followingCaballero)thattheoreticalanalysisof
thecrashwouldhaveentailedgoingbeyondthecurrentmethodologyforeconomictheory;and
itsempiricalpredictionwouldhaveentailedexaminationoftailrisk,forwhichtheevidencewas
unlikelytobeinstatisticalform.Furthermore,noneofthefourexamplesoftheroleof
"stories"wouldhavebeenclassifiedassinsofomissionwiththemethodologicaldefinition:
sincethosestories,likewise,wouldbedifficulttoobservewithstatisticalmethods.However,
withthefirst—subject-matter—definitionofthefield,eachoftheexampleswouldbea
respectivesinofomission.Financialcrashesareclearlywithinthepurviewofthesubject
37https://www.merriam-webster.com/dictionary/economics.
20
matterofeconomics;and,witheachofthefour"stories,"theiromissionsignificantlyaffectsa
respectiveeconomicproblemofsomeimportance.
9.SummaryandConclusion
Beforedescribingtheimplicationsofouranalysis,itisimportanttoemphasizewhat
has—andwhathasnotbeen—said.Thetheoreticalandempiricalaccomplishmentsofmodern
economics,obtainedwithHardstandardsfortheconductofresearch,shouldberightly
celebrated.Butsuchstandardsshouldnotbeuniformlyappliedtoalleconomicproblems;
especially,theyshouldnotbeappliedtothoseproblemsforwhichthosestandardsaretoo
restrictive:forlackofevidenceorbecausemotivationsignificantlydiffersfromstandard
economicassumptions.Differentterrainscallfordifferentvehicles.Asailboatisuselessin
crossinga(riverless)desert;acamelisuselessincrossingasea.
Thenormsregardinghoweconomicsshouldbedoneshouldcallforflexibilityof
methodology—insteadofinsistenceonmethodologicalpuritythatmightbeperfectforsome
Importantproblems,butleavesotherproblemsandotherapproachesoutsidethedomainof
economicresearch.
Historically,thoseparadigms—normsforhoweconomicresearchshouldbedone,and
alsoforwhatconstitutes"economicresearch"—havedevelopedoutofanevolutionaryprocess.
Neithertheoptimalityoftheresultantconclusionsofthefieldnoroftheresultantinstitutions
foreconomicresearchcanbetakenforgranted.38Atthejournals,thenormsforwhatshould
38ThenonoptimalityfromevolutionfollowsfromBrockandDurlauf(1999)andalsofromAkerlofandMichaillat(2018).
21
orshouldnotbepublished,andtheselectionoftheeditorsandthereferees,andtheirconduct,
shouldbethesubjectofexamination.Likewise,attheuniversities,theprocessesofpromotion
andtenureshouldalsobeexamined.JustasmedicineintheUnitedStateswasfamously
influencedbytheFlexnerReportof1910(Starr(2008)),thereisaneedforasimilarreport
todayonpublicationandpromotionineconomics.
Suchareportcouldbedividedintotwoseparateparts.Thefirstpartwouldanalyzethe
normsregardingtheroleofjournaleditorsandreferees.Asmentionedearlier,timesbetween
submissionandacceptanceareextremelylong(Ellison(2002a,2002b)),asauthorsandtheir
ideasarestrungoutwithoftenrepeatedrequestsforrevise-and-resubmitsaccordingtothe
tastesoftheeditorsandreferees.
Returningownershipofpaperstotheauthorswouldnotonlyshowgreaterrespectto
them.ItwouldalsoaccordwiththestatedpurposeoftwooftheTop-Fivejournals:astheAER
andREStudbothhavethewordReviewintheirname.AsIunderstandit,a“Review”isa
journalthattakessubmissions,anddecideswhichtoaccept/whichtoreject.Thatmeansthat
theeditorsandtherefereesshouldbeviewingthemselvesashelpmates,ratherthandictators
holdingauthorsatransombeforeacceptingtheirsubmissions.
AsecondpartoftheReportwoulddescribeappropriatenormsregardingcriteriaand
methodsofpromotion.Specialtopicsforexaminationwouldincludetheappropriate,and
inappropriate,criteriabasedonpublicationmetrics(suchasthenumberintheTopFive),and,
internationally,over-dependenceonpublicationinUSjournalsandevenonUSdata.
Recommendedreformcouldreducethesinsofomissionduetoinappropriateemphasis
onHardness.Furthermore,whilenotsolvingtheproblemofthecompetitiverat-racefornew
22
entrantsintothefield,itwouldprovidethemsomereliefbyencouragingthemtobringoutthe
bestinthemselves.Andforalleconomists,itwouldallowustoexpresswhatwewanttosayas
bestwecan:fromtheheart.
23
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