Economic Distress Stimulates Religious Fundamentalism - 2000

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EconomicDistressStimulatesReligiousFundamentalism

January8,2020

Abstract

Whensocialconflictoccursalongethnic-religiouslinesinsteadofclasslinesisasubjectof muchdebate.Thispaperexploitsrelativepriceshocksinducedbythe1997Indonesianfinancial crisisandvariationinreligiousinstitutionsacrossIndonesiabeforethecrisistoidentifytheeffect ofeconomicdistressontherelationshipbetweenreligiousinstitutionsandsocialviolence.Six resultsemerge.Highreligiousintensityareasbeforethecrisishavemoresocialviolenceafterthe crisis.Strongermeasuresofreligiousintensityaremorestronglyassociatedwithsocialviolence. SocialviolenceincreasesfastestwhereparticipationinKoranstudyalsoincreasesthefastest. Instrumentingforeconomicdistressusingrelativepriceshockssuggestsacausalrelationship betweeneconomicdistressandtherelationshipbetweenreligiousintensityandsocialviolence. Creditavailabilitymitigatesthiseffect.Economicdistressalonedidnotstimulatesocialviolence butstimulatesitinthepresenceofreligiousinstitutions.Iexplainthesefindingsinamodel wherehighmarginalutilitiesduringeconomicdistressincreaseincentivesforgroupconflict wheregroupconflictincreasesthebudgetofinsurancegroups.Withvolatility,religionswith strongersanctionsorviolencearemorestableandsuccessful.Asvolatilitydeclines,benign groupsandreligionsbecomerelativelysuccessful.

Keywords:Religion,ClubGoods,Conflict,Fundamentalism

JELcodes:D71,D74,E21,G22,H41,O17,Z1,Z12

⇤ ToulouseInstituteforAdvancedStudies,daniel.li.chen@gmail.com.Iamextremelygratefultomyprincipal advisor,EstherDuflo,forherguidanceandintellectualgenerosity.IwouldalsoliketothankJoshuaAngrist,David Autor,AbhijitBanerjee,EliBerman,IvanFernandez-Val,ChrisHansen,SeemaJayachandran,BenOlken,VijayendraRao,ZakiWahhaj,MotohiroYogo,andespeciallyJeremyTobacman,forcomments.MaulinaCahyaningrum, PrimaFortunadewi,andJuliusKusumaprovidedoutstandingtranslationassistance.Workonthisprojectwas conductedwhileIreceivedfinancialsupportfromtheNationalScienceFoundationGraduateResearchFellowship, MacArthurFoundation,SocialScienceResearchCouncil,MITSchultzFund,NationalInstituteofChildHealthand HumanDevelopment,RussellSageFoundation,JohnM.OlinFoundation,theInstituteforHumaneStudies,andthe KauffmanFoundation.Allmistakesaremyown.

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Whethersocialviolencerisesorfallswithreligiousintensityisasubjectofmuchdebate.Some creditreligion’sroleinreducingsocialviolenceasameansofkeepingpotentialviolentactorsoff ofstreets(BerrienandWinship2003,McRoberts2003,Freeman1986).Otherscitereligion’s roleinincreasingsocialviolenceasameansoforganizingindividualsintopotentialviolentactors (Glaeser2002,Berman2003).Whymightreligiousintensitybelinkedwithsocialviolenceinsome environmentsbutnotothers?Doesthelinkdependoneconomicconditions?Socialscientistshave longspeculatedontheconnectionbetweenreligiousintensityandsocialviolence;answerstothese questionsmaysuggestappropriatepoliciestoaddressideologicalextremism.

ThispaperexploitsdifferencesinreligiousintensityacrossIndonesiabeforeandduringthe financialcrisisandrelativepriceshocksinducedbythecrisistoidentifytheeffectofeconomic distressontherelationshipbetweenreligiousintensityandsocialviolence.Apriori,thereappears tobeprimafacieevidenceofariseinreligious-basedviolenceduringandafterthefinancialcrisis. Evenifviolencebeganfornon-religiousreasons,thelinesofdemarcationoftenbecamereligious.I

firstshowastrongrelationshipbetweenreligiousintensitybeforethecrisisandsocialviolenceafter thecrisis.Ithendocumentarelationshipbetweenchangesinreligiousintensityandchangesin socialviolenceduringthecrisis.Inextexploitthefactthatrelativepriceshocksinducedbythe crisisfavoredgrowersofstaples,namelyrice,andhurtstickywage-earners,particularlygovernment employeeswhosesalariesaresetbyfederallaw.Iinstrumentforeconomicdistressusingprecrisishectaresofwetlandownershipandgovernmentoccupationtoidentifytheimpactofeconomic distressontherelationshipbetweenreligiousintensityandsocialviolence.Bysodoing,Ipresent causalevidencetoaugmentpreviousdescriptiveanalysisoftheIndonesianfinancialcrisis(Chen 2007).

Inthefollowingsections,IpresentananalysisofdatafromtheDatabaseonSocialViolencein Indonesia1990-2001,collectedbytheUNSupportFacilityforIndonesianRecovery,anddatafrom theHundredVillagesSurvey,apanelof8,140households,conductedbytheIndonesianCensus Bureau.Section2presentsbackgroundanddataonreligionandsocialviolenceinIndonesia andamodelofthelinkbetweenreligiousintensityandsocialviolence.Totheextentreligious groupsprovidemutualinsurance(Berman2000,Chen2004),highmarginalutilitiesduringeconomic distressincreaseincentivesforgroupconflictasgroupconflictmayincreasethebudgetofmutual insurancegroups.Ifreligiousintensityisafunctionofthedegreetowhichsomeoneparticipates inmutualinsurance,increasingthenumberofparticipantsininsurancemattersmoreforthose whoareparticipatingathigherlevelsofreligiousintensity.Socialconflictofonegroupbyanother candirectlyappropriateresourcesorlowertheoutsideopportunitiesofclubmembersinorderto increasethereligiousintensityofthelessintense.

Between1997and1998,Indonesia’sRupiahfelldramaticallyfrom2400totheUSdollarto16000 totheUSdollarandtheCPIforfoodincreasedfrom100to261.Section3establishesthatreligious intensityandsocialviolenceareindeedrelatedduringthefinancialcrisis.OLSestimatesindicate thatinhighreligiousintensityareas,violenceismorelikelytoarise,whereviolenceismeasuredby

1Introduction
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totalnumberofincidentsofsocialviolenceaswellasnumberofincidentswithminimumof1death. Theseresultsholdevenaftercontrollingforalargesetofvillageandenvironmentalcharacteristics.

Becausemostreligiousintensitymeasuresarecollectedbeforethecrisisandarerelativelytimeinvariantandbecausevillagesareunlikelytobuildschools,seminaries,orreligiousbuildingsin anticipationofsocialviolencethatmostlyoccurredafterthecrisis,reversecausalityisanunlikely confound.Infact,therelationshipbetweenpre-crisismeasuresofreligiousintensityandsocial violencelargelybeginsafterthecrisis.Inaddition,certainformsofreligiousintensity,suchas religiousschoolsandseminaries,aremorestronglyassociatedwithviolencethanareweakerforms, suchasKoranstudyandworshipbuildings.Multiplyingtheestimatedcoefficientsbythemeanof thereligiousintensitymeasuressumsuptothemeanoftheviolenceincidents,suggestingreligious intensitymayexplainpracticallyalltheviolencethatoccurredifthevectorofreligiousmeasuresare takenasexogenous.The R 2 ofthespecificationssuggestreligiousintensitymayexplainone-third ofthevarianceofviolencethatoccurred.

Socialviolenceisnegativelyassociatedwithothersocialactivities.Thissuggestsomitted variablesthatareassociatedwithbothKoranstudygroupsand“placebo”socialactivitiesarenot drivingtherelationshipbetweenreligiousintensityandsocialviolence.

AfundamentalissueintheinterpretationoftheOLSspecificationisthepresenceoffixed unobservablefactorsthatarecorrelatedwithreligiousintensityandsocialviolenceacrossprovinces. Toaddressthispotentialsourceofbias,IuselongitudinaldataonKoranstudy,whichistracked overtime.IfindthatKoranstudyremainsassociatedwithcommunalviolenceaftercontrolling forprovinceandtimefixedeffectsbutisunrelatedtostateorindustrialviolence.Thislastfinding lessenstheconcernthatomittedvariablesdrivechangesinbothKoranstudyandviolencesincethere issomethingspecificaboutcommunalviolenceratherthanviolenceingeneralthatisassociated withKoranstudyduringthefinancialcrisis.

ThevarietyofevidencepresentedinSection3suggestsastrongrelationshipbetweenreligious intensityandsocialviolenceduringthecrisis.Section4estimatesmodelswithinteractionterms toexplorewhyreligiousintensityandviolencearelinked.Pre-crisisreligiousintensity–schools, worshipbuildings,andseminaries–ismorestronglylinkedwithsocialviolenceinregionsthatare moreeconomicallydistressed.Economicdistressalonedoesnotstimulatesocialviolence.(Identitybasedviolencehastypicallybeenfoundtobeunrelatedtoeconomichardshipalone(Green,McFalls, andSmith2001,KruegerandPischke1997,Ruhm2000).)Iinstrumentforeconomicdistressusing pre-crisishectaresofwetlandownershipandgovernmentoccupationfollowingtheidentification strategyinChen(2010).

Importantly,alternativesocialinsurancemitigatesthiseffect.Theeffectofeconomicdistress onthelinkbetweenreligiousintensityandsocialviolenceisroughlyhalfasstrongwhencreditis availableintheformofbanks,microfinanceinstitutions,orBRIloanproducts.

Understandingtherelationshipbetweenreligiousintensityandsocialviolenceisnotlimited toviolenceprevention.Researchershavetraditionallyfocusedontheprivatereturntoreligious intensity(Iannaccone1998),butarenowbeginningtolookbeyondtheprivatereturns,forexample,

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ontheimpactofreligiousintensityoneconomicgrowth,theattitudesthatunderlieeconomic growth,andgenderviolence(BarroandMcCleary2002,Guiso,Sapienza,andZingales2003,Chen 2005).Violenceisanegativeexternalitywithenormoussocialcosts(e.g.AbadieandGardeazabal (2003)andAlesina,et.al(1999)),sototheextentreligiousintensityandsocialviolencearerelated, thesocialreturnsmaybedifferentthantheprivatereturns.Theresultsinthispapersuggest economicvolatilitydecreasesthesocialreturnstoreligiousintensity:groupswithstrongersanctions orviolencearemorestablewitheconomicvolatility.Asvolatilitydeclines,benigngroupsorreligions becomesrelativelysuccessful.

2ReligionandSocialViolenceinIndonesia

Between1990and2001,socialviolenceledtomorethan6,208deathsinIndonesia,increasing sharplyafterthefinancialcrisisof1997(Tadjoeddin2002).Inoneyear,assetvaluesdroppedby 91%.Incontrast,ittookthreeyearsforassetvaluestodrop87%duringtheUSGreatDepression (Friend2003).Millionsofpeoplelostjobsorshiftedtotheinformalsector(Irawan,et.al.,2000). Thecrisisreachedapeakinearly1998andledtoriotsandlootingsineveryprovincebutone.It stimulatedmassfrustrationamongmarginalgroupsmanyofwhomlostjobsduetoeconomiccrisis andcompanybankruptcy.

TheempiricalanalysisdrawsfromtheUNSFIRDatabaseonSocialViolenceinIndonesia19902001(Tadjoeddin2002),whichcontainseveryincidentofsocialviolencereportedbythenational newsagency, Antara,andthenationaldaily, Kompas.Thedatabasetrackspropertydamageas wellasinterpersonalviolence.Socialviolencereferstophysicalactsofdestruction,killing,looting, attacks,burning,clashes,takinghostages,etc.,byagroupofpeople.Becausepresspoliciesdiffer beforeandafterthecrisis,theanalysisusescross-sectionalaswellaslongitudinaldatatoavoid relyingsolelyontime-seriesvariationofmediacoverage.

Communalviolenceaccountsfor77%ofthetotaldeathsduetosocialviolence;theothercategoriesarestate-communityandindustrialviolence.Communalviolenceisdefinedasviolence betweentwogroupsofcommunity,onegroupbeingattackedbytheother.State-communityviolenceisviolencedonebycommunitiesprotestingagainststateinstitutions,suchasthemilitary, theadministration,orsecurityofficials.Industrialviolenceisviolencethatarisesfromproblemsof industrialrelations.Communalviolencehasthewidestregionaldistribution.Itisfoundin116of 295district/citiesand22of26provinces.

Ethnic,religion,andmigration-relatedviolence,isthemostseveretypeofcommunalviolence, accountingfor68%oftotaldeathsduetocommunalviolence.Whilebothethnicandreligiousviolencearecodedtogether(ethnicgroupsareusuallyassociatedwithaparticularreligioninIndonesia), atleastsomeoftheseactsofcommunalviolencearedefinitelyreligiousinnature:descriptionsin Tadjoeddin(2002)include"killingbyevokingblackmagicshaman"(aformofvoodoo),"massrage assomeonerecognizedhimselfasGod’smessenger","churchruined","immorallocationruined", "mantakenhostagebyIslamholywarrior","gamblingandprostitutionlocationdestroyed",and

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"burningofentertainmentplace".Violenceasaresultofdifferenceinpoliticalviewsaccounts foronly3.3%ofdeathsduetocommunalviolence(Table2).Thisisdefinedasviolencedueto conflictsbetweenandwithinpoliticalpartiesandtheirsupporters.Figure1indicatesthatthescale ofviolenceincreasedsharplyin1998.Tables1and2andFigure1arefromTadjoeddin(2002).

Sincethenationalmediaoftendonotrecordlocalizedconflicts,thedatamayunderreport levelsofconflict.UNSFIRcaptures1,093incidentsofconflictand6,208deathsover12years. Underabroaderdefinitionofconflict,thePODESdata(PotensialDesa/VillagePotentialStatistics) documentsalmost5000villagesasreportingconflictsinoneyearalone(Barron,et.al.2004).

2.1Theory

Religiousintensityasinsuranceprovidesatheoryforwhyviolenceandreligiousintensitymaybe linkedinsomeenvironmentsbutnotothers.FollowingthemodelinChen(2010),supposeagents receiveahigh(H )orlow(L)incomeshock.Letreligiousintensity, Q,representthedegreeto whichsomeoneparticipatesinmutualinsurance,i.e.thefractionofincomeshocksharedwiththe insurancegroup.Moreprecisely,lettheutilityofanagentreceiving x incomeshockbe, Ux = u[(1 Qx )x + Qx Q (µ)] V ( Q Qx ) C (Qx ),where (1 Q) representsthefractionoftheshock x agents keepforthemselves, Qx /Q istherelativereligiousintensity, Q istheaveragereligiousintensity, and µ isthebudgetofthereligiousgroup. V ( Q Q ) isthesocialsanctionfunctionandisincreasing inrelativelackofintensity, Q/Qx ,and C (Qx ) isthecostofdisplayingreligiousintensity.Inthe model,thegreaterisone’sreligiousintensitythemoremutualinsurancegivenandreceived.If Q =1,itisasiftheagentparticipatesinacommune,sharingallhisshockswiththegroup.If Q =0,theagentkeepsallhispositiveshocksandsuffersallhisnegativeshocks.

Chen(2010)exploitsrelativepriceshocksinducedbytheIndonesianfinancialcrisistodemonstrateacausalrelationshipbetweeneconomicdistressandreligiousintensityandfindssuggestive evidenceoftheroleofreligionasex-postsocialinsurance:creditavailabilityreducestheeffectof economicdistressonreligiousintensitybyroughly80%,religiousintensityalleviatesneedingalmsor credittomeetbasicneedsatthepeakofthecrisis,andreligiousinstitutionsfacilitateconsumption smoothingamongvillagers.

Nowconsidertheextremechoiceoffulldeviationornon-participationby M<N numberof agents.Let Eh (Q) denotetheexpectedvalueofsocialinsurancewhen h individualsparticipate at Q levelofinsurance.Then EN (Q) EN M (Q) isthevaluetoparticipantsofencouraging participationby M individuals.

Socialsanctionsincreasewithreligiousintensity, Q,because Q EN (Q) EN M (Q) > 0.Intuitively,as Q ! 0,thevalueofencouragingparticipationalsoapproaches0.Inotherwords,ina modelwherereligiousintensityrepresentsthedegreetowhichsomeoneparticipatesinmutualinsurance,increasingthenumberofparticipantsininsurancemattersforthosewhoareparticipating athigherlevelsofreligiousintensity.

Moreprecisely,athigherlevelsofreligiousintensity,groupssetahigher V 0 ( ),sosocialsanctions willbeincreasinginrelativelackofintensityif Q> 0,andwillincreasemoresharply,thehigher

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thereligiousintensity.

Forconcreteness,supposethereare N M individualsreceivinglowshockswhodesireahigh degreeofmutualaid.Theysetahighreligiousintensity Q,thefractionofincomesharedorreceived fromthereligiousgroup,whilethe M individualsreceivingpositiveshockswhodesirealowdegree ofmutualaidchoosealowlevelofreligiousintensity.Sincereligiousintensitycanbechosenafter individualsreceivetheirshocks,toencouragethe M individualstoprovidemoremutualaid,the N M individualssetahighlevelofsocialsanctionagainstlowreligiousintensity Q.Individuals withhigh Q arewillingtoimposesanctions:empirically,FehrandGachter(2000)findthatpeople arewillingtopaytopunishinpublicgoodsgameseveninthelastperiodwhenthereisnopossible benefittothemselves.

Bothintergroupandintragroupconflictarecapturedbythemodel.Thepreviousexample suggestsintragroupconflict,butonecanalsointerpret V (.) asaformofdirectappropriationofthe H individualsbythe L individualsfromanotherreligiousgroup.Or,onecanthinkofaclubmodel, where V ( ) lowerstheoutsideopportunitiesofclubmembers:escalatingconflict(awaronperceived terror)andmutualantagonismincreasesthereligiousintensityofthelessintense.Socialconflictof onegroupbyanothercandirectlyappropriateresourcesorlowertheoutsideopportunitiesofclub membersinordertoincreasethebudgetofthereligiousgroup.

Anecdotalevidencesuggeststhismaybethecase.Accordingtopersonalinterviews,neighbors founditmoredifficulttotalkwithneighborsofadifferentreligionduringtimesofgroupconflict. YouthattendingIslamicschoolsaythattherearetensionsbetweenMuslimyouthwhoattend mosqueandthosewhodonot.Conflictwithnon-Muslimsmayactasaunifyingforceasindividuals donotwanttobemistakenforbeingorhelpinganon-Muslim.Conflictcanalsodirectlyappropriate resources,suchaslandorproperty.Inthiscase,encouragementorsanctionscantaketheformof intimidationorconversion.InterviewsindicatesomeindividualsconvertedtoIslamduringgroup conflict.Bothintragroupandintergroupconflictcanincreasethebudgetofmutualinsurance groups.

Akeypredictionofthemodelisthateconomicdistressincreasestheincentivetoenactsanctions becauseofhighmarginalutilitiesduringeconomicdistress.Alternativeformsofsocialinsurance shouldmitigatethiseffect.Chen(2010)showshowgroupswithoutstrongsanctionssuchasrotating savingsgroupstendtodeclineduringcrisis.Thissuggestsreligionswithharsherpunishmentor violencearemorestableandsuccessfulinanenvironmentwithhighvolatility.Asvolatilitydeclines, benigngroupsandreligionsbecomerelativelysuccessful.

2.2ReligionandEconomicData

HouseholdreligionandeconomicdatacomefromTheHundredVillagesSurvey,collectedbythe IndonesianCentralStatisticsOffice.Thepaneldatasetfollows8,140householdsfromMay1997 toAugust1999,beginningbeforethecrisisandcontinuinginfourwavesafterthecrisis(Figure 2).Religiousintensityatthehouseholdlevelismeasuredusingtheresponseto“Inthepast3 months,hasyourhouseholdincreased,decreased,stayedthesame,ornotparticipatedinthestudy

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ofKoran(Pengajian)?”Thisquestionisaskedafterthecrisisandiscodedas1/0.Chen(2010) verifiesPengajianparticipationactuallymeasuresreligiousintensitybyexaminingitscorrelation withothermeasuresofreligiousintensity,suchasIslamicschoolattendance,Koranownership, worshipping,andmeasuresofbeliefsuchasanswering,“ItisuptoGod,”inresponseto“Whatis youridealnumberofsons?”aswellasreligiousoppositiontocontraceptionuse.1

Village-levelreligiositymeasuresofpercapitanumberofmosques,Islamicchapels,churches, Hindutemples,andBuddhisttemplesaretakenfromthe1997PODESdata(PotensialDesa/Village PotentialStatistics),whichasksfor1996information.Thereligiositymeasuresofpercapitanumber ofIslamicboardingschools,religiousschools,andseminariesaretakenfrom1998PODES.Sinceit isunlikelythatnewreligiousinstitutionswerebuiltduringthecrisis,Iinterprettheseaspre-crisis numbersanddividebythe1997PODESpopulationaccordingly(1998PODESpopulationnumbers wouldbeaffectedbycrisis-inducedmigration).

SincetheHundredVillagesSurveydoesnotcoverseparatistareassuchasAceh,noincident ofseparatistviolenceisincludedinthefollowinganalysis.TheHundredVillagesSurveyand theDatabaseonSocialViolenceoverlapforthefollowingeightprovinces:Bali,JawaBarat,Jawa Timur,KalimantanTimur,Lampung,NusaTenggaraTimur,Riau,andSulawesiTenggara.Since violencedataisrecordedattheprovincelevel,province-levelclustersareincludedinspecifications wherereligiousintensityismeasuredatthevillagelevel.

3EstimatingtheRelationshipbetweenReligiousIntensityandSocialViolenceDuringtheFinancialCrisis

IexaminetherelationshipbetweenreligiousintensityrecordedintheHundredVillagesSurveyand violencerecordedintheDatabaseonSocialViolenceinIndonesia1990-2001.

3.1Cross-SectionalVariation

Isviolencemorelikelytoariseinhighreligiousintensityareas?Arestrongermeasuresofreligious intensitymorestronglyassociatedwithsocialviolence?Table3reportsOLSestimatesofan equationlinkingsocialviolenceandreligiousintensity:

where Vjp representsallsocialviolenceincidentsfrom1990-2001orallsocialviolenceincidentswith minimum1deathinvillage j inprovince p, Rjp isavectorforvillage j inprovince p representing percentageofPengajianparticipationinavillage,religiousworshipbuildingsper1000population, religiousschoolsper1000population,andseminariesper1000populationand Xjp representsvillage,geographic,andfiscalcontrolvariables(urbandummy,population,area,numberofshops

1 Animportantlimitationtothisstudyisthatthispaperdoesnotanalyzebeliefs.However,itispossiblethatan increaseinIslamicschoolattendancetranslatessubsequentlyintostricterbeliefs.

Vjp = 0 Rjp + ↵ 0 Xjp + "jp
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per1000population,meanpre-crisismonthlyper-capitanon-foodexpenditures,dummiesforgeographiccharacteristicsflat,steep,beach,forest,valley,andriver,1996-1997INPRESfundsper1000 populationforeconomicactivity,buildingandfacilities,officesandinstitutions,humanresources, andIDT,anothervillageassistanceprogram).

Theestimatesshowastrongassociationbetweeneachmeasureofreligiousintensityandviolence.Thestrongassociationremainsaftercontrollingforvillage,geographic,andfiscalcharacteristics(Columns2and4).Infact,strongermeasuresofreligiousintensity–religiousschoolsand seminaries–aremuchmorestronglyassociatedwithviolence.Religiousschoolsper1000population andseminariesper1000populationareassociatedwithviolenceat1%statisticalsignificancein mostspecifications(Table3Columns1-4).PercentageofPengajianparticipationandworship buildingsper1000populationareassociatedwithviolenceat5%to10%statisticalsignificance inthesespecifications.TheseresultscorroborateBarron,et.al.(2004)whoalsofindintheir cross-sectionalanalysisofthe2003PODESdata,higherpresenceoffaithgroupsisassociatedwith higherlevelsofconflict.

Inmagnitudes,multiplyingthecoefficient bythemeanofthereligiousintensitymeasures sumsuptothemeanoftheviolenceincidents.Thus,ifwetake Rjp asexogenous,thissuggests religiousintensitymayexplainpracticallyalltheviolencethatoccurredinaverages.The R 2 ofthe regressiondisplayedinColumn1is0.34,suggestingreligiousintensitymayexplainone-thirdof thevarianceofviolencethatoccurred.The R 2 oftheregressiondisplayedinColumn3is0.32. Columns2and4have R 2 of0.49and0.48respectively.

3.2ReverseCausality

Apossibleexplanationforalinkbetweenreligiousintensityandviolenceistheresponseofreligious intensitytosocialviolenceinsteadofviceversa.Theempiricalsetupprecludesthispossibility becauseofthefactthatmostreligiousintensitymeasuresarerelativelytime-invariantandare pre-crisismeasures.Sinceitisunlikelythatnewreligiousinstitutionswerebuiltduringthecrisis, thesemeasurescanbeinterpretedaspre-crisisnumbers.Mostviolence(96%)occursafterthecrisis (Figure1).Itseemsunlikelyvillagesbuildschools,seminaries,orreligiousbuildingsinanticipation ofsocialviolence,soreversecausalityisanunlikelyconfound.

Separatelyregressingviolenceyear-by-yearonpre-crisisreligiousintensity,withthefollowing regression,

suggeststhestrongrelationshipbetweenpre-crisisreligiousintensityandsocialviolencebeginsafter thecrisis.EstimatesarereportedinTable4.Forexample,theestimatesof t in1993comparing with1998risefrom0.252to12.107forPengajianparticipationand1.449to23.659forseminaries (Columns1and3).Figure3PanelAdisplaystherelationshipbetweenAugust1998Pengajian participationandyear-by-yearsocialviolence.Figure3PanelsB-Ddisplaytherelationshipbetween

Vjpt = 0 t Rjp + ↵ 0 t Xjp + "jpt ,
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pre-crisisper-capitaworshipbuildings,religiousschools,andseminaries,respectively,andyear-byyearsocialviolence.Table4andFigure3havenoinformationdisplayedfor1990-1992and1994 becausetherearenoreportedincidentsofsocialviolencethatoverlapwiththeHundredVillages Surveyinthoseyears.

3.3OtherSocialActivities

Socialviolenceisnegativelyassociatedwithothersocialactivities.Table5displaysseparate partialcorrelationsbetweensocialviolenceandeachrecordedsocialactivity.WhilePengajianis positivelycorrelatedwithsocialviolenceandstatisticallysignificantatthe5%level,socialviolence isnotsignificantlyassociatedwithanyothersurveyedsocialactivity:sports(Olahraga),burial society(Kematian),clubforobtainingskills(KarangTaruna),familywelfaremovement(PKKand “occasionaltrainingforwomen”),and“10helpsforhousing”(Dasawisma).Theseresultssuggest omittedvariablesthatareassociatedwithbothreligiousandnon-religioussocialactivitiesarenot drivingtherelationshipbetweenreligiousintensityandsocialviolence.

Infact,theestimatessuggestparticipationinnon-religioussocialactivitiesisnegativelyassociatedwithsocialviolence.EachpercentagepointofPengajianparticipationisassociatedwith0.39 moreincidentsofsocialviolencewhereaseachpercentagepointinparticipationinwomen’straining, housinghelp,skilllearning,orburialsocietiesisassociatedwith0.30to0.50fewerincidentsofsocial violence.TheseresultsagaincorroborateBarronet.al(2004)whofindthatnetworksofengagement acrossethnic-religiouslinesreducelikelihoodofconflict.Theremainderofthestudymovesbeyond Barron,et.al(2004)tomorecarefullyisolatetherelationshipbetweenreligiousintensityandsocial violence,andtoestimatethecausalimpactofeconomicdistressonthisrelationship.

3.4PanelData

Thesignificantrelationshipbetweensomemeasuresofreligiousintensityandsocialviolencebeforethecrisis(Table4)suggestssomeunobservedenvironmentalvariablesmaybecorrelatedwith religiousintensity(forexample,ifethnic-religiousdiversityisgreaterwheretherearemorereligiousinstitutions,anddiversityiscorrelatedwithviolence,thismaybiastherelationshipbetween religiousintensityandsocialviolenceupwards).Toaddressthispossibility,Ialsoexaminethe relationshipbetweenPengajianparticipationandsocialviolencecontrollingforprovinceandtime fixedeffects.Pengajianparticipationistheonlymeasureofreligiousintensitythatistime-varying. Fixedeffectscontrolsforenvironmentalcharacteristicssuchasreligiousorethnicdiversityacross regions.

Toconstructthepanelofreligiousintensityandsocialviolence,recallthatinformationonPengajianparticipationiscollectedfor3-monthperiods.ImatchtheaveragePengajianparticipation rateofeachprovincefora3-monthperiodtothenumberofincidentsofsocialviolenceforthesame 3-monthperiod.SincetheHundredVillagesSurveycollectedPengajianparticipationat3different times,thisgivesme8provincesand3timeperiodsforatotalof24observationstoestimate:

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Vpt = Rpt + p + ⌧t + "pt

where Vpt representsincidentsofsocialviolence, Rpt representspercentagePengajianparticipationin province p attime t, p areprovincefixedeffects,and ⌧t aretimefixedeffects.Ishowspecifications withandwithoutweightingbythenumberofhouseholdsintheHundredVillagesSurveyper province.

Theestimateofabout4.4inColumn4ofPanelAinTable6indicatesKoranstudyisassociated withcommunalviolenceincidentswithminimum1deathat10%statisticalsignificance.Theestimateof5.1inColumn2indicatesKoranstudyispositivelyassociatedwithincidentsofcommunal violence.Thecoefficient4.3inColumn4issmallerthanthecoefficient11inColumn3ofTable 3,onereasonforwhichisthatviolenceisrestrictedtoa3-monthperiodherewhereasinTable 3,violencewasaggregatedfor1990-2001.Theestimatesareroughlythesamewithandwithout populationweights(Columns1and3).

Evenwithcontrolsforfixedeffects,omittedvariablesmaybedrivingchangesinbothKoran studyandviolence.TotheextenttheeconomicdistressthatstimulatesKoranstudywouldstimulateanykindofsocialviolence,observingtherelationshipbetweenchangesinKoranstudyand changesinothertypesofsocialviolenceprovidesatestofthispossibility.Whendifferenttypesof violenceareconsideredinPanelsBandC,theassociationbetweenKoranstudyandothertypesof violence,state-communityandindustrial,isweaker,withcoefficientsof-0.11and0.91respectively. Thesumofstate-communityandindustrialviolencealsoisweaklyassociatedwithKoranstudy. Thereisnotenoughvariationinstate-communityandindustrialviolenceincidentswithminimum 1deathtorunfixedeffectsregressions.Thesefindingslessentheconcernthatomittedvariables drivechangesinbothKoranstudyandviolencesincethereissomethingspecificaboutcommunal violenceratherthanviolenceingeneralthatisassociatedwithKoranstudy.

4TheInteractionofEconomicDistressandReligiousIntensity

Theprecedingsectionsfindthatsocialviolenceismorelikelytoariseinareaswithgreaterreligious intensityandthatsocialviolenceincreasesmorequicklywherereligiousintensityalsoincreasesmore quickly.Toexaminewhy,Iestimatemodelswithinteractionterms.Akeypredictionofasocial insurancetheoryofreligiousintensityisthatreligiousintensityismorestronglylinkedwithsocial violenceinregionsthataremoreeconomicallydistressed.Iexamineplaceswherethefinancial crisishadmoreorlesseconomicimpactusingtheidentificationstrategyestablishedinChen(2010). Rapidinflationduringthefinancialcrisisfavoredgrowersofstaples,particularlyrice,anddisfavored stickywage-earners.Hectaresofwetlandownershipandgovernmentoccupationbeforethecrisis actasinstrumentsforeconomicdistresswhilehectaresofdrylandownershipandserviceoccupation actasplaceboinstruments.

Sincemostmeasuresofreligiousintensityarecollectedbeforethefinancialcrisis,theassociation

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betweenreligiousintensityandsocialviolenceisunlikelytobeduetoeconomicdistressstimulating bothreligiousintensityandsocialviolence.Evenifeconomicdistressexplainstherelationship betweenchangesinreligiousintensityandchangesinsocialviolence,wemighthaveexpectedstate andindustrialviolencetoalsoincreasewithKoranstudy,butthisisnotthecase.Interestingly, thereisnostrongrelationshipbetweensocialviolenceandtheinstrumentsforeconomicdistressand thepointestimatesareoftheoppositesign(notshown),whichisconsistentwithidentity-based violencebeingtypicallyunrelatedtoeconomichardshipalone(Green,McFalls,andSmith2001, KruegerandPischke1997,Ruhm2000).Instead,theinteractionofpre-existingreligiousintensity witheconomicdistressincreasessocialviolence,suggestingtheremaybesomethingparticularabout religiousintensitythatallowseconomicdistresstotranslateintosocialviolence.

4.1ReducedFormEvidence

Toexaminewhetherreligiousintensityismorestronglylinkedwithsocialviolenceinregionsthatare moreeconomicallydistressed,Table7PanelAestimatesthefollowingreducedformspecification:

where Zjp representstheinstrumentsforvillage j inprovince p,wheretheinstrumentsarethe averagehectaresofwetlandownedinvillageandpercentageofhouseholdheadswhoworkingovernment. Rjp representspre-crisisreligiousintensityforvillage j inprovince p,definedasthesum ofstandardizedpercapitareligiousworshipbuildings,religiousschools,andseminaries.

Thecoefficient-14.2inColumn1indicatesthatwheretherewasmorepre-crisisreligiousintensity,wetland,whichcushionedavillagefromthecrisisbecausevillagerscangrowmorerice,is linkedtofewerincidentsofsocialviolence.Thecoefficient94.5inColumn1fortheinteraction ofreligiousintensityand%governmentworkersindicatevillageshitharderbythecrisis,because morevillagershadstickywages,andwithmorepre-crisisreligiousintensitysawmoreincidentsof socialviolence.Asimilarpatternholdsforincidentswithminimum1death(Column3).These relationshipsarerobusttoincludingvillage,geographic,andfiscalcontrols(Columns2and4).

Theaveragehectaresofwetlandownedis0.17(AppendixTableA)andthefractionofgovernmentworkersis0.06.Multiplying-14.2by0.17gives-2.41andmultiplying94.5by0.06gives 5.67.Thissuggeststheaveragehectaresofwetlandownedreducestheeffectofreligiousintensity onsocialviolencebyroughly30%(2.41dividedby8.2inRow1Column1ofTable7)whilethe averagefractionofgovernmentworkersincreasestheeffectofreligiousintensityonsocialviolence byroughly70%.ThesecalculatedrelativeeffectsarelargerforColumns2-4.

InPanelBofTable7,Ireplace Zjp withplaceboinstrumentsforvillage j inprovince p,the averagehectaresofdrylandownedinvillageandpercentageofhouseholdheadswhoworkinservice occupations.Comparing-4.2onthereligiousintensity*drylandinteractionwith-14.2forreligious intensity*wetlandinteractioninColumn1isconsistentwiththefindinginChapter1thatdryland hectaresprovideroughlyhalfthecushionthatwetlandhectaresprovide.Comparing53.1on

Vjp = 0 Rjp + 0 1 Rjp Zjp + 0 2 Zjp + ↵ 0 Xjp + "jp
11

religiousintensity*serviceinteractionand94.5onreligiousintensity*governmentinteractionin Column1alsosuggeststheplaceboinstrumentsdisplayamuchsmallerandstatisticallyinsignificant effectascomparedtotheactualinstruments.

4.22SLSEstimates

Table8estimatestheanalogous2SLSspecification: Vjp = 0 Rjp + 1 (Rjp Ejp )+ 2 Ejp + ↵ 0 Xjp + "jp

where Ejp istheaverageeconomicdistressforvillage j inprovince p,instrumentedusing Zjp instruments,averagehectaresofwetlandandpercentageofgovernmentworkers. Rjp represents pre-crisisreligiousintensityforvillage j inprovince p,definedasthesumofstandardizedpercapita religiousworshipbuildings,religiousschools,andseminaries.Thecoefficient-5.9inColumn1 suggestssocialviolencerisingmostlythroughtheinteractionofpre-crisisreligiousinfrastructureand economicdistress.Theaveragehouseholdsuffereda$4.70shockinpercapitanonfoodexpenditures (AppendixTableA).Multipying-5.9by$4.7andadding-5.4,thecoefficientonpre-crisisreligious intensityinColumn1,indicatessocialviolenceispositivelyrelatedwithpre-crisisreligiousintensity attheaverageeconomicdistresslevel.

4.3SocialInsuranceandSocialViolence

Doessocialinsurancemitigatesocialviolence?Ifirstfindthatinthecross-section,socialviolence isnegativelyassociatedwithcreditavailability,definedashavingbanks,microfinanceinstitutions, orBRIloanproducts.Toaddressthepossibilitycreditavailabilityproxiesforgeneraleconomic development,Ialsoincludeanurbandummyandthenumberofshops.Incidentsofsocialviolence arepositivelyassociatedwiththosecharacteristics,suggestingthereissomethingparticularabout creditavailability,ratherthanurbannessorcommercialdevelopment,thatisnegativelyassociated withsocialviolence.Theseestimatesarenotstatisticallysignificant,buttheinterpretationis similarconsideringincidentswithminimum1deathandafterincludingcontrols,andcorroborate thefindingthatloanprovisionreducescrime(GarmaiseandMoskowitz2004).

InTable9,Irunthe2SLSspecificationseparatelyforvillageswithcreditavailability(n=32) andwithoutcreditavailability(n=61):

Inotherwords,Iestimate

Vjp = 0 Rjp + 1 (Rjp Ejp )+ 2 Ejp + ↵ 0 Xjp + "jp
Vjp = 0 Rjp + 1 (Rjp Ejp )+ 2 Ejp + 3 Cjp Rjp + 4 (Cjp Rjp Ejp )+ 5 Cjp Ejp +6 Cjp + ↵ 0 0 Xjp + ↵ 0 1 Cjp Xjp + "jp 12

where Cjp representscreditavailabilityinvillage j andprovince p andcreditavailabilityisdefined ashavingbanks,microfinanceinstitutions,orBRIloanproducts.TheBRIbanksystemisthe backboneoftheruralfinancialsysteminIndonesia(Holloh2001)andBRIloanproductsarea specialformofcreditwithlowcollateralrequirements.Accordingtopersonalinterviews,inone villageinthesurvey,BRIloanproductswereespeciallyavailableduringthecrisisforgovernment workersbecausetheywereconsideredtohave"fixed"jobs.AfeatureoftheBRIloanproductthat helpsloancollectionisthereductionofinterestfortimelyrepayments(Holloh2001).Microfinance programsarealsohelpfulforlaid-off workerstostartsmallbusinessesoftheirown(Akatiga1999).

Idisplayseparate2SLSspecificationsforeaseofinterpretation.Comparingthecoefficientson theinteractionofreligiousintensityandeconomicdistress,-4.2inColumn1with-8.4inColumn 2inPanelAsuggestcreditavailabilityreducestheimpactbyroughly50%.Thisratioremains roughlythesameforincidentswithminimum1death(Columns3and4)aswellasforestimates whenthefullsetofvillage,geographic,andfiscalcontrolsareincluded(PanelB).Thedifference betweentherespectivecoefficients,i.e. 4 ,isnotstatisticallysignificantatthe10%level,sothese resultsshouldbetakenasmerelysuggestive.

4.4AlternativeExplanations

Onealternativeexplanationfortheriseinsocialviolenceisthatinsteadofeconomicdistress,it isthepoliticalvacuumcreatedduringthecrisisthatallowedsocialviolencetoarise.However, between1990and2001,violenceasaresultofdifferenceinpoliticalviewsaccountsforonly3.3% ofdeathsduetocommunalviolence(Table2).Arelatedhypothesisisthatviolenceariseswhen civic/policinstitutionsweakenandthatreligiousinstitutionsarecorrelatedwiththepresenceof civic/policeinstitutions.Thisalsodoesnotappeartobethecase.

Anotherpossibilityisthatreligiousfragmentationisnecessaryforsocialviolence.However, greaterreligiousfragmentationofanarea,ascomputedbytheHerfindahlindexofreligiousworship buildings,isnotstronglyassociatedwithpre-crisisreligiousintensity.Moreover,themodelin Section2suggestssocialviolenceassociatedwithreligionneednotbelimitedtointergroupviolence. Arelatedhypothesisisthatlessviolenceoccursunderasinglereligiousregimeandthattheremay befewerincidentsofsocialviolencewhenthereisexactly1mosqueinthevillage.Thisalsodoes notappeartobethecase.

5Conclusion

Theseresultssuggestthatinaworldofcompetinginsurancegroups,asvolatilityincreases,religions withstrongersanctionsorviolencearemorestableandsuccessful,butasvolatilitydeclines,benign groupsandreligionsbecomerelativelysuccessful.

Inthispaper,IpresentananalysisofdatafromtheHundredVillagesSurveyanddatafrom theDatabaseonSocialViolenceinIndonesia1990-2001.OLSestimatesshowalargepositive relationshipbetweenreligiousintensityandsocialviolence.Becausemostreligiousintensitymea-

13

suresarerelativelytime-invariantandarepre-crisismeasuresandbecausevillagesareunlikelyto buildschools,seminaries,orreligiousbuildingsinanticipationofsocialviolence,reversecausality isunlikelytoexplainthisassociation.Infact,astrongrelationshipbetweenpre-crisismeasuresof religiousintensityandsocialviolencebeginsafterthecrisis.Inaddition,strongerformsofreligious intensityaremorestronglyassociatedwithviolence.Tocontrolforpotentialomittedvariablesbias, IuselongitudinaldataonKoranstudy,whichistrackedovertime.Koranstudyremainsassociated withcommunalviolenceafterincludingprovinceandtimefixedeffectsbutisunrelatedtostateor industrialviolence.

Sheddinglightonwhyreligiousintensityandsocialviolencearelinked,religiousintensityis linkedtomoresocialviolenceinregionsthataremoreeconomicallydistressed.Alternativesocial insurancemitigatesthiseffect.Totheextentgovernments,internationalorganizations,andNGOs areconcernedaboutideologicalextremism,inparticularbecauseitmayleadtoreligiousconflict andviolence,theresultshereandinChen(2010)suggestincreasingtheirroleinsocialinsurance maymitigatefundamentalisttendencies.Countriesthatinordinatelydependonnaturalresources maybesubjecttogreaterfluctuationsandmayfindreducingfundamentalisttendenciestobeyet anotherreasontodiversify.Ifitisthecaseglobalizationincreasestheriskindividualsface,providing insuranceagainstthatriskmaybeimportantinpreventingethnic-religiousconflicts.Miguel(2003) andMiguel,Satyanath,andSergenti(2003)findevidencethateconomicshocksincreaseconflicts.

TheGreatDepressionmayhaveaffectedgroupidentitydifferentlyintheUSandGermany becausetheprovisionofsocialinsurancewasaffordableintheformerbutnotinthelatter.The resultssuggestoneexplanationforwhysomereligionsandgroupidentitiesreplaceothers.In thelong-runcompetitionbetweensocialinsurancegroups,socialinsurancewithsanctionswillbe relativelysuccessful,especiallyinavolatileenvironment.Withvolatility,religionswithharsher sanctionsaremorestableandsuccessful.Asvolatilitydeclines,groupsorreligionswithreduced sanctionsorviolencebecomerelativelysuccessful.Theincreaseinincomevolatilityfrom1972-1998 (KruegerandPerri2003)isconsistentwiththecontemporaneousriseinreligiousintensityinUS popularandpublicdiscourseaswellastheshiftfromaninclusionary(socialgospelmovement)to exclusionary(religiousright)religiousintensity(Fogel2000).

Onecanevenimagineanevolutionarybranchingofsocialinsurances.Earlysocialinsurances stayedwithinthefamily,whichlaterbecameethnicitiesandreligions.Ethnicitiesandreligions intimebegatnationalities,politicalideologies,andevengenderidentitieseachseekingtodisplace earlierformsofgroupidentity,astechnologiesdevelopedtobetteraddressimperfectinformation (improvedabilitytoobserveeffortsandtypesnecessaryforsocialinsurancetobeself-enforcingand self-propagating).

6DataAppendix

TheempiricalanalysisdrawsfromTheHundredVillagesSurvey,collectedbytheIndonesianCentral StatisticsOffice.Thepaneldatasetfollows8,140householdsfromMay1997toAugust1999,

14

beginningbeforethecrisisandcontinuinginfourwavesafterthecrisis(Figure1).Inthepre-crisis period,thesurveyobserves120randomlyselectedhouseholdsineachof100communities.However between1997and1998,thenumberofvillageenumerationareasincreasesfrom2to3,necessitating areplacementofabout40randomlyselectedhouseholdspervillage.Thepartialreplacementof pre-crisishouseholdsiswhythepanelcontains8,140insteadof12,000households.Thesurveyalso collectsvillage-levelinformationinthefirstwaveof1997and1998.Amoredetaileddescriptionof thesurveyquestionsandvariableconstructionusedinthetablesisprovidedbelow.Thesurveyis inIndonesianandwastranslatedwiththehelpoftwotranslators.

Onemeasureofreligiousintensityistheresponseto“Inthepast3months,hasyourhousehold increased,decreased,stayedthesame,ornotparticipatedinthestudytheKoran(Pengajian)?” Moreprecisely,thephraseis“Pengajian/kegiatanagarmalainnya,”whichtranslatestoreligious activity,howevertranslatorssaythequestionwouldbeinterpretedbynativeIndonesiansasspecificallyreferringtoKoranstudy;non-Muslimsmayinterpretthequestionasreferringtotheequivalent intheirrespectivereligion.Thisquestionisaskedafterthecrisisandiscodedas1/0.

Thecontrols, Xij ,includepre-crisisMay1997valuesof:villagecharacteristics–urbandummy, population,area,numberofshopsper1000population;geographiccharacteristics–dummiesfor flat,steep(theexcludedtopographydummyisslightangle),beach,forest,valley,riverterrain(the excludedgeographydummyisother);andfiscalcharacteristics–INPRES(PresidentiallyInstructed ProgramforVillageAssistance,implementedduring1996-1997)fundingreceivednormalizedto$ per1000population,whichdividesintofundsusedforproductiveeconomiceffort,forbuildings andfacilities,forofficesandinstitutions,andforhumanresources,andtotalIDT(anothervillage assistanceprogram)fundsreceivedbythehouseholdbetween1994-1996.

Iusetheentiresampleof8,140households.AppendixTableApresentssomedescriptivestatistics.

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3/1/1997 4/1/1997 5/1/1997 6/1/1997 7/1/1997 8/1/1997 9/1/1997 10/1/1997 11/1/1997 12/1/1997 1/1/1998 2/1/1998 3/1/1998 4/1/1998 5/1/1998 6/1/1998 7/1/1998 8/1/1998 9/1/1998 10/1/1998 11/1/1998 12/1/1998 1/1/1999 2/1/1999 3/1/1999 4/1/1999 5/1/1999 6/1/1999 7/1/1999 8/1/1999 9/1/1999 10/1/1999

0 2000 4000 6000 8000 10000 12000 14000 16000 18000
Rp/USD 0 50 100 150 200 250 300 350 CPI Pre-Crisis Survey Wave PODES 97 Post-Crisis Wave 1 PODES 98 Post-Crisis Wave 2Post-Crisis Wave 3Post-Crisis Wave 4 CPIGeneral CPIFoodstuff
Figure 2:
Timing of 100 Villages and PODES Survey Waves and the Rp/USD Exchange Rate

Figure 2A: August 1998 Pengajian Participation and Social Violence, 19902001

Relationship Between August 1998 % Pengajian Participation and Year-by-Year Social Violence

Figure 2B: Pre-Crisis Worship Buildings Per 1000 Population and Social Violence, 1990-2001

Relationship Between 1997 Worship Buildings Per 1000 Pop and Year-By-Year Social Violence

Figure 2C: Pre-Crisis Religious Schools Per 1000 Population and Social Violence, 1990-2001

Relationship Between 1997 Religious Schools Per 1000 Pop and Year-By-Year Social Violence

Figure 2D: Pre-Crisis Seminaries per 1000 Population and Social Violence, 1990-2001

Relationship Between 1997 Seminaries Per 1000 Pop and YearBy-Year Social Violence

-5 0 5 10 15 20 25 19931995199619971998199920002001 Year
-10 0 10 20 30 40 50 60 19931995199619971998199920002001 Year
-0.5 0 0.5 1 1.5 2 2.5 19931995199619971998199920002001 Year
-4 -2 0 2 4 6 8 10 19931995199619971998199920002001 Year

Table1--SocialViolencebyCategory,1990-2001

NumberofNumberofIncidentsNumberofDeaths%Deathto CategoryIncidentswithMin1Death(minimumvalue)TotalDeath (1)(2)(3)(4)

CommunalViolence465262477176.9

SeparatistViolence502369137022.1

State-CommunityViolence8819591.0

IndustrialRelationsViolence38480.1 Total10936546208100

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001". Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

CommunalViolence:socialviolencebetweentwogroupsofcommunity,onegroupbeingattackedbytheother.

SeparatistViolence:socialviolencebetweenthestateandthepeopleofacertainareabecauseofregionalseparatism.

State-CommunityViolence:violencebetweenthestateandthecommunitywhoareexpressingprotestsagainststateinstitutions.

IndustrialViolence:violencethatarisesfromproblemsofindustrialrelations.

Table2--CommunalViolencebySub-Category,1990-2001

DeathsIncidents

Sub-CategoryNumber%ofTotalNumberCity/District (1)(2)(3)(4)

Ethnic,Religion,andMigration323067.723339

TheMay98Riots120225.2610

DifferencesinPoliticalViews1563.37954

CivilCommotion(Tawuran)871.87028

Issueof'DukunSantet'651.42817

CompetingResources160.31610

FoodRiots50.12322

Other100.2109

Total4771100465116

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001".

Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

CommunalViolence:socialviolencebetweentwogroupsofcommunity,onegroupbeingattackedbytheother.

Ethnic,Religion,andMigration:religionpropagationrelatedtoparticularregionsandethnicgroups

TheMay98Riots:riotsinbigcitiesprecedingfallofPresidentSuhartoinMay1998

DifferencesinPoliticalViews:conflictsbetweenandwithinpoliticalpartiesandtheirsupporters

CivilCommotion(Tawuran):clashesbetweenvillages,neighborhoods,orgroups

Issueof'DukunSantet':killingsofpeopleaccusedofevilmagicandwitchcraft

CompetingResources:disputesbetweencommunitygroupscompetingforeconomicresources

FoodRiots:massriotsandlootingsforstaplefoodsbetweenJanuarytoMarch1998

AllViolence(OLS)

Table3--RelationshipbetweenReligiousIntensityandSocialViolence

IncidentsofIncidentswith SocialViolence

Minimum1Death

(1)(2)(3)(4)

%PengajianParticipationinVillage,August199835*36*11*11* (17)(17)(5)(6)

ReligiousWorshipBuildingsPer1000Pop4**3*1**1* (2)(2)(0)(0)

ReligiousSchoolsPer1000Pop16**14***5*5*** (7)(4)(2)(1)

SeminariesPer1000Pop115***101***36***32*** (18)(25)(6)(8)

R20.340.490.320.48 N93939393 ControlsNYNY

RegressionsareOLSregressionsof93villagesandincludeprovince-levelclusters.

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001". Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

ControlvariablesareVillage,Geography,andFiscalCharacteristicsarelistedbelow.

VillageCharacteristics--Urban,Population,Size,NumberofShopsPer1000Pop,MeanPre-CrisisPer-CapitaNon-FoodExpenditures GeographyCharacteristics--Flat,Steep,Beach,Forest,Valley,River

FiscalCharacteristics--1996-1997INPRESFundsPer1000PopforEconomicActivity,BuildingandFacilities,OfficesandInstitutions, HumanResources,andIDTfunds

Table4--RelationshipbetweenReligiousIntensityandYear-by-YearSocialViolence

DependentVariable:PengajianWorshipReligiousSeminaries IncidentsofSocialViolenceParticipationBuildingsSchools

(1)(2)(3)(4)

19930.2520.0040.339***1.449*** (0.211)(0.027)(0.085)(0.304)

1995-0.251-0.0140.032-0.668 (0.244)(0.016)(0.058)(0.748)

19960.2520.0040.339***1.449*** (0.211)(0.027)(0.085)(0.304)

19971.5090.0272.033***8.695*** (1.264)(0.160)(0.509)(1.824)

199812.107*1.504***1.38823.659** (5.352)(0.275)(1.447)(6.880)

19997.605*0.682**2.050**18.988** (3.704)(0.254)(0.706)(5.761)

200010.5210.9835.598***34.414*** (5.622)(0.613)(1.508)(8.141)

20014.456*0.2202.214**12.534*** (1.935)(0.249)(0.722)(3.243)

ControlsYYYY

RegressionsareOLSregressionsof93villagesandincludeprovince-levelclusters.

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001". Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned). 96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

ControlvariablesareVillage,Geography,andFiscalCharacteristicsarelistedbelow.

VillageCharacteristics--Urban,Population,Size,NumberofShopsPer1000Pop,MeanPre-CrisisPer-CapitaNon-FoodExpenditures GeographyCharacteristics--Flat,Steep,Beach,Forest,Valley,River

FiscalCharacteristics--1996-1997INPRESFundsPer1000PopforEconomicActivity,BuildingandFacilities,OfficesandInstitutions, HumanResources,andIDTfunds

AllViolence(OLS)

Table5--RelationshipbetweenSocialActivitiesandSocialViolence

IncidentsofIncidentswith SocialViolenceMinimum1Death (1)(2)

%PengajianParticipationinVillage,August199839**12** (12)(4)

%TrainingforWomenParticipation,August1998-33-9 (30)(10)

%10HelpsforHousingParticipation,August1998-50-15 (30)(10)

%ClubforSkillLearningParticipation,August1998-32-10 (25)(8)

%BurialSocietyParticipation,August1998-30-9 (18)(6)

%SportsClubParticipation,August19983-0 (10)(4)

%SavingsClubParticipation,August1998-1-1 (22)(8)

ControlsYY

EachcoefficientrepresentsaseparateOLSregressionof93villages,conditionaloncontrols,andincludeprovince-levelclusters.

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001". Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

ControlvariablesareVillage,Geography,andFiscalCharacteristicsarelistedbelow.

VillageCharacteristics--Urban,Population,Size,NumberofShopsPer1000Pop,MeanPre-CrisisPer-CapitaNon-FoodExpenditures GeographyCharacteristics--Flat,Steep,Beach,Forest,Valley,River

FiscalCharacteristics--1996-1997INPRESFundsPer1000PopforEconomicActivity,BuildingandFacilities,OfficesandInstitutions, HumanResources,andIDTfunds

Table6--RelationshipbetweenReligiousIntensityandSocialViolence(Panel)

IncidentsofIncidentswith SocialViolence

Minimum1Death

(1)(2)(3)(4)

Panel A: CommunalViolence(FixedEffects)

%PengajianParticipationinProvince4.3405.1073.989*4.348* (4.598)(5.850)(2.209)(2.335)

Panel B: State-CommunityViolence

%PengajianParticipationinProvince-0.034-0.108n/an/a (1.090)(1.469)

Panel C: IndustrialViolence

%PengajianParticipationinProvince1.1900.909n/an/a (1.215)(1.311)

PopulationWeightedNYNY

FixedEffectsProvince,TimeProvince,TimeProvince,TimeProvince,Time

RegressionsareFixedEffectsregressionsof8provincesineachof3timeperiods,atotalof24observations, withprovinceandtimefixedeffects.Populationweightsarethenumberofhouseholdsperprovinceinthesample.

EachcoefficientrepresentsaseparateOLSregressionofPengajianParticipationRatesfor3-monthperiodonViolence.

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001".

Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

CommunalViolence:socialviolencebetweentwogroupsofcommunity,onegroupbeingattackedbytheother.

State-CommunityViolence:violencebetweenthestateandthecommunitywhoareexpressingprotestsagainststateinstitutions.

IndustrialViolence:violencethatarisesfromproblemsofindustrialrelations.

n/a:Toofewstate-communityandindustrialviolenceincidentswithminimum1deathtorunfixedeffectsregressions.

Table7--ReducedFormRelationshipBetweenSocialViolenceandPre-CrisisReligiousIntensityInteractedwithInstruments

SocialViolence IncidentsofIncidentswith Minimum1Death

(1)(2)(3)(4)

Panel A: Main Experiment

Pre-CrisisReligiousIntensity8.2**7.0**2.5**2.1** (2.8)(2.8)(0.9)(0.9)

Pre-CrisisReligiousIntensity*Wetland-14.2*-15.5*-4.2*-4.4* (6.2)(7.4)(1.8)(2.1)

Pre-CrisisReligiousIntensity*%Govt94.5**85.8**29.2**28.3** (35.3)(28.2)(11.4)(9.7)

Wetland-17.1-21.1**-5.3-6.5** (13.2)(8.3)(4.2)(2.4)

%Govt48.80.614.33.5 (26.4)(56.0)(8.2)(18.2)

Panel B: Placebo Experiment

Pre-CrisisReligiousIntensity7.89.2*2.12.5 (5.0)(4.5)(1.5)(1.3)

Pre-CrisisReligiousIntensity*Dryland-4.2-6.7-1.1-1.8 (4.3)(3.9)(1.3)(1.2)

Pre-CrisisReligiousIntensity*%Service53.155.717.618.5 (33.0)(31.8)(10.4)(10.7)

Dryland-20.8**-18.7*-7.2**-6.5** (8.8)(8.4)(2.6)(2.6)

%Service-11.5-29.7-6.0-8.5 (30.3)(39.2)(8.6)(11.4)

ControlsNYNY

Pre-CrisisReligiousIntensityisthesumofstandardizedReligiousWorshipBuildingsPer1000Pop,ReligiousSchoolsPer1000 Pop,andSeminariesPer1000Pop.WetlandandDrylandaretheaveragehectaresownedinvillage.GovernmentandServicearethe %ofhouseholdheadswhoworkinthatoccupation.

RegressionsareOLSregressionsof93villagesandincludeprovince-levelclusters.

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001".

Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

ControlvariablesareVillage,Geography,andFiscalCharacteristicsarelistedbelow.

VillageCharacteristics--Urban,Population,Size,NumberofShopsPer1000Pop,MeanPre-CrisisPer-CapitaNon-FoodExpenditures GeographyCharacteristics--Flat,Steep,Beach,Forest,Valley,River

FiscalCharacteristics--1996-1997INPRESFundsPer1000PopforEconomicActivity,BuildingandFacilities,OfficesandInstitutions, HumanResources,andIDTfunds

Table8--RelationshipBetweenSocialViolenceandPre-CrisisReligiousIntensityInteractedwithEconomicDistress

Incidentswith SocialMinimum1Death Violence Incidentsof

(1)(2)(3)(4)

Pre-CrisisReligiousIntensity-5.4*-12.4-1.6*-3.7 (2.5)(14.5)(0.8)(4.6)

Pre-CrisisReligiousIntensity-5.9***-6.9**-1.8***-2.2**

*ChangeinPerCapitaNonfoodExpenditure(IV)(1.2)(2.4)(0.4)(0.7)

ChangeinPerCapitaNonfoodExpenditure(IV)-6.6-8.4-1.9-2.7 (4.0)(6.6)(1.3)(2.0)

Pre-CrisisReligiousIntensityisthesumofstandardizedReligiousWorshipBuildingsPer1000Pop,ReligiousSchoolsPer1000 Pop,andSeminariesPer1000Pop.

ChangeinPerCapitaNonfoodExpenditureisthedifferencecomputedbetweenAugust1998andMay1997.

RegressionsareIVregressionsof93villagesandincludeprovince-levelclusters.

Theexcludedinstrumentsarewetland,government,andtheirinteractionswithpre-crisisreligiousintensity.

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001". Anincidentofsocialviolenceisrecordedifthenationalnewsagency, Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

ControlvariablesareVillage,Geography,andFiscalCharacteristicsarelistedbelow.

VillageCharacteristics--Urban,Population,Size,NumberofShopsPer1000Pop,MeanPre-CrisisPer-CapitaNon-FoodExpenditures GeographyCharacteristics--Flat,Steep,Beach,Forest,Valley,River

FiscalCharacteristics--1996-1997INPRESFundsPer1000PopforEconomicActivity,BuildingandFacilities,OfficesandInstitutions, HumanResources,andIDTfunds

ControlsNYNY

Table9--EvidenceSuggestingSocialInsuranceMitigatesSocialViolence

IncidentsofSocialViolenceIncidentswithMinimum1Death

Panel A: No Controls

Pre-CrisisReligiousIntensity-4.2-3.8-1.3-0.7 (2.5)(5.6)(1.0)(1.7)

Pre-CrisisReligiousIntensity-4.2**-8.4**-1.3**-2.8**

*PerCapitaNonfoodExpenditureChange(IV)(1.5)(2.9)(0.5)(1.0)

PerCapitaNonfoodExpenditureChange(IV)-5.8-11.7-1.8-4.0 (5.1)(8.4)(1.6)(2.7)

Panel B: With Controls

Pre-CrisisReligiousIntensity-5.8-38.5-1.9-10.7 (4.7)(94.5)(1.3)(26.7)

Pre-CrisisReligiousIntensity-4.2**-6.7-1.5**-2.3

*PerCapitaNonfoodExpenditureChange(IV)(1.7)(10.7)(0.6)(3.2)

PerCapitaNonfoodExpenditureChange(IV)-1.7-4.8-1.4-1.9 (5.1)(17.4)(1.5)(5.5)

N32613261

Pre-CrisisReligiousIntensityisthesumofstandardizedReligiousWorshipBuildingsPer1000Pop,ReligiousSchoolsPer1000 Pop,andSeminariesPer1000Pop.

CreditAvailabilityisdefinedashavingaBank,Microfinance,orBRILoanProductavailableinvillage.

RegressionsareIVregressionsof93villagesandincludeprovince-levelclusters.

Theexcludedinstrumentsarewetland,government,interactionswithpre-crisisreligiousintensity.

SocialViolencedatafromUNSupportFacilityforIndonesianRecovery,"DatabaseonSocialViolenceinIndonesia1990-2001".

Anincidentofsocialviolenceisrecordedifthenationalnewsagency,Antara ,orthenationaldaily, Kompas ,reportedanincident withatleastonevictim,beithuman(casualtiesorinjuries)ormaterial(suchashouses,buildings,orvehiclesdamagedorburned).

96%oftheincidentsoccurbetween1998-2001;mostarecommunalviolence,definedassocialviolencebetweentwogroups ofcommunity,onegroupbeingattackedbytheother.

ControlvariablesareVillage,Geography,andFiscalCharacteristicsarelistedbelow.

VillageCharacteristics--Urban,Population,Size,NumberofShopsPer1000Pop,MeanPre-CrisisPer-CapitaNon-FoodExpenditures GeographyCharacteristics--Flat,Steep,Beach,Forest,Valley,River

FiscalCharacteristics--1996-1997INPRESFundsPer1000PopforEconomicActivity,BuildingandFacilities,OfficesandInstitutions, HumanResources,andIDTfunds

CreditAvailableNoCreditCreditAvailableNoCredit (1)(2)(3)(4)

PercentageOwnWetland31%StandardDeviationofVillageConsumptionShock11.42

PercentageOwnDryland66%duringCrisis(Aug1998-May1997)(1.56)

PercentageinFarming66%StandardDeviationofVillageConsumptionShock9.22

WetlandOwnership(Hectares)0.17Non-Crisis(May1999-Dec1998)(2.16) (0.01)TotalWorshipBuildingsPer1000Pop3.83

DrylandOwnership(Hectares)0.72(0.28) (0.01)ReligiousSchoolsper1000Pop0.12

SurnameIndicatesHajPilgrimage1.0%(0.04)

NumberofChildrenattendingIslamicSchool0.15Seminariesper1000Pop0.01 (0.01)(0.01)

MonthlyPer-CapitaFoodExpenditure,May199714.6%PengajianParticipationinVillage,August19980.61 (0.1)(0.03)

MonthlyPer-CapitaNon-FoodExpenditure,May19977.3CreditAvailable0.34 (0.2)(0.05)

HouseholdSize4.16NumberShopsPer1000Pop0.07 (0.02)(0.03)

Governmentworker6%Urban0.20

ServiceWorker10%(0.04)

N81401996-1997INPRESFundsin$/1000Pop0.91 (0.09)

N99

1998Aug1998Dec1999May1999Aug

MonthlyPer-CapitaNon-FoodExpenditure,Change-4.71.1-0.10.2 (0.2)(0.2)(0.2)(0.2)

PengajianParticipationRate61%unavail.67%71%

PengajianIncreaseinLast3Months9%unavail.7%7%

PengajianDecreaseinLast3Months9%unavail.10%11%

IncidentsofSocialViolence34.65 (3.20)

IncidentsofSocialViolencewithMinimum1Death11.26 (1.02)

IncidentsofCommunalViolence0.83 (3monthperiod)(0.29)

IncidentsofCommunalViolencewithMinimum1Death0.33 (3monthperiod)(0.16)

IncidentsofState-CommunityViolence0.08 (3monthperiod)(0.06)

IncidentsofIndustrialViolence0.17 (3monthperiod)(0.08)

%PengajianParticipationinVillage,August19980.66 (3monthperiod)(0.03)

NumberofProvinces8

Violence Summary Statistics Crisis Summary Statistics AppendixTableA--DescriptiveStatistics Household Summary StatisticsVillage Summary Statistics

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