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WHIC IS TH FAI SEX GENDE DIFFERENCE IN ALTRUISM AMES N WHIC IS TH FAI SEX GENDE DIFFERENCE IN ALTRUISM AMES N

WHIC IS TH FAI SEX GENDE DIFFERENCE IN ALTRUISM AMES N - PDF document

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WHIC IS TH FAI SEX GENDE DIFFERENCE IN ALTRUISM AMES N - PPT Presentation

NTRODUCTION Ar wome mor altruisti tha men Is on se mor fai tha th other If ther ar systemati difference in altruis by sex the economi theorist wil se ne prediction fro model on fo instance charitabl giving bargaining an househol decisio making Fo em ID: 87137

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WHICHISTHEFAIRSEX?GENDERDIFFERENCESINALTRUISM*JAMESANDREONIANDLISEVESTERLUNDWestudygenderdifferencesinaltruismbyexaminingamodiŽeddictatorgamewithvaryingincomesandprices.Ourresultsindicatethatthequestion“whichisthefairsex?”hasacomplicatedanswer—whenaltruismisexpensive,womenarekinder,butwhenitischeap,menaremorealtruistic.Thatis,weŽndthatthemaleandfemale“demandcurvesforaltruism”cross,andthatmenaremoreresponsivetopricechanges.Furthermore,menaremorelikelytobeeitherperfectlyselŽshorperfectlyseless,whereaswomentendtobe“equalitarians”whoprefertoshareevenly.I.IArewomenmorealtruisticthanmen?Isonesexmorefairthantheother?Iftherearesystematicdifferencesinaltruismbysex,theneconomictheoristswillseenewpredictionsfrommodelson,forinstance,charitablegiving,bargaining,andhouseholddecisionmaking.Forempiricalresearchers,suchsexdifferencesmayinuenceviewsonthecharitablededuction,intergenera-tionaltransfers,ortheallocationsamongspousesresultingfromhouseholdbargaining.Whiletheimplicationsofsexdifferencesinaltruismhavegonelargelyunexploredbyeconomists,therearesomepreliminaryindicationsthatsuchdifferencesmaybeim-portant.Duringthepastdecade,forinstance,researchershavenoticedthatmalesandfemaleshavedifferentpatternsofchari-tablegiving,witheachsexfavoringdifferenttypesofcharitiesandinuencedbydifferentfactors.1Inaddition,fundraisersforcharityhavecometorealizethesubstantialgivingpotentialoffemaledonorsandaredesigningsex-speciŽcsolicitationstrate-gies.2Policymakers,too,havenotedgrosssexdifferencesinphilanthropy,withwomenapparentlymoreresponsivetothe*WearegratefultoYannisBilias,GaryBolton,GaryCharness,MichaelConlin,RachelCroson,StevenDurlauf,CatherineEckel,ElizabethHoffman,CatherineKling,MichaelLynn,andBradleyRufeforhelpfulcommentsandconversations.WethankIsaacRischallforexpertresearchassistance.Inaddi-tion,weacknowledgetheNationalScienceFoundationforŽnancialsupport.1.Eller[1997]discussesestategiving,andAndreoni,Brown,andRischall[1999]discussannualgiving.Bothstudies,whichwillbediscussedmorelater,showsigniŽcantdifferencesinmaleandfemalegiving.2.Ithasevenbeenclaimedthat“Womeninphilanthropyisthehottesttopicinfundraisingtoday”[Panas1994].FordiscussionsoffemaledonorsseeVonSchlegellandFisher[1993],OstranderandFisher[1995],andOstrower[1995].©2001bythePresidentandFellowsofHarvardCollegeandtheMassachusettsInstituteofTheQuarterlyJournalofEconomics,February2001293 needforcharitablegiving.3Suchsystematicdifferencescouldaffecteconomists’models,dataanalyses,andresearchmethodol-ogieswheneveraltrusimmaybeafactorindecisions.Anaturalplacetolookforsexdifferencesisincontrolledlaboratoryexperiments.Whileeconomicexperimentshavefoundgreatvariationinaltruismamongindividuals,noconsensushasemergedongenderasanexplanatoryvariable.4Inpublicgoodsgames,forexample,somehavefoundall-malegroupstobemorecooperativethanall-femalegroups,andothershavefoundtheopposite.5Inultimatumbargaininggames,menandwomenwerefoundtobenodifferentintheofferstheymake,butwomenaremorewillingtoacceptunfairoffersthanmen.6Inthedictatorgame,therearealsomixedresults,withsomeŽndingnodiffer-encesbysex,whileothersŽndall-femalegroupstobemoregenerousthanall-malegroups.7Wetakeanewlookatgenderandaltruismbyaskinghowmaleandfemale“demandsforaltruism”maydiffer.Tofocusonaltruismapartfromstrategicconcerns,welookatthedictatorgame,andratherthanlookingatasinglechoiceasothershavedone,weobserveindividualgivingdecisionsondifferentbudgetswithdifferent“pricesofaltruism.”Hence,wecanidentifygenderdifferencesbasedonboththelevelsandvariationsinthepriceofgiving.Ourresultsprovideapotentialforexplainingandunifyingthevarietyofresultsinotherstudies.Inparticular,weŽndthatwhenitisrelativelyexpensivetogive,womenaremoregenerousthanmen;however,asthepriceofgivingdecreases,menbegintogivemorethanwomen.Thatis,maleandfemaledemandcurvesforaltruismcross,andmenaremoreresponsivetopricechanges.3.Onesuchinterestinggenderdifferenceoccurredduringarecessionin1991,whenwomenincreasedtheirphilanthropicgivingby2.4percent,whilemendecreasedtheircontributionsbyjustover20percent[Mixer1993].4.Forthevastvariationacrosssubjects,see,forexample,Isaac,Walker,andWilliams[1994],Andreoni[1993,1995],andAndreoniandMiller[1998].Foranexcellentandcomprehensivereviewoftheresultsongenderdifference,seeEckelandGrossman[1998].5.Brown-KruseandHummels[1993]Žndmalegroupstobemorecoopera-tive,whileNowellandTinkler[1994]Žndfemalegroupstobemorecooperative.6.SeeEckelandGrossman[1997a].Also,Solnick[1997]ŽndsnosigniŽcantgenderdifferencesinofferorrejectionrates,butdoesŽndthatsubjectsexpectfemalepartnerstobemorecooperative.7.BoltonandKatok[1995]ŽndnosigniŽcantmale-femaledifferences,whileEckelandGrossman[1997b]Žndall-femalegroupsaremorealtruisticthanall-malegroups.Experimentsbypsychologistsandothersocialscientistshave,likeeconomists,alsofoundvaryingresults,witheithersexsometimesseenasmorealtruistic.SeeEagly[1995]forareviewofpsychologyevidence.294QUARTERLYJOURNALOFECONOMICS Inaddition,menaremorelikelytobeeitherperfectlyselŽshorperfectlyseless,whereaswomentendtobe“equalitarians”whoprefertoshareevenly—aresultthatechoespsychologicalŽnd-ings.Insum,weŽndthatthequestion“whichisthefairsex?”hasacomplicatedanswer—dependingontheprice,eithersexmaybeseenasmorefair.Thenextsectionofthispaperpresentstheexperimentaldesign.Wethenpresenttheresultsinthreeparts.First,welookforevidenceofgenderdifferencesintherawdata.Nextwecharacterizethatdifferenceinaneconomicframework,andpro-videapredictivemodelofbehaviorbysex.Third,wecompareourresultswithpastexperimentalresultsongenderdifferences.ThepaperendswithadiscussionofsomeofthepotentialimplicationsofourŽndings.II.EDESIGNTheexperimentwasconductedattheUniversityofWiscon-sinandatIowaStateUniversity.Thesubjectswerevolunteersfromintermediateandupperleveleconomicscourses.Theex-perimentsatbothuniversitiesconsistedoftwoexperimentalses-sions.AtWisconsinbothsessionsconsistedof35subjects,whilethetwoatIowaStatecontained38and34subjectseach,foratotalof142subjects.Theexperimentlastedlessthananhour,andsubjectsearnedanaverageof$9.60.Weplacednoemphasisongenderwhenrecruitingorrunningtheexperiment.Thisdiffersfromotherswhocomparedall-malewithall-femalegroups.Thiswasdonetoavoidunwantedpsycho-logicalinuences,suchas“in-group”effects,andtogetapictureofthemale-femaledifferencethatwouldnaturallyoccurinanexperimentnotdesignedtotestforsuchdifferences.Asaresult,approximatelytwo-thirdsofoursubjectpoolwasmale.8TheexperimentemployedamodiŽcationofthedictatorgame.9InthisgameasubjectdecideshowtoallocateaŽxedpayoffbetweenhimselfandanothersubject,overaseriesofdifferent“budgets”ofpayoffs,withdifferentrelativepricesofown-payoffandother-payoff.Thisthenallowsustolookatindi-8.AtWisconsin49ofthe70subjectsweremale,andatIowaState46of72weremale.9.AcopyoftheinstructionsusedisgivenintheAppendix.295WHICHISTHEFAIRSEX? vidualdemandcurves,andhencediscussvariationbothwithinandacrosssubjects.Itisimportanttonotethatthisexperimentwasoriginallyconductedtoexaminewhetherpreferencesforaltruismarecon-sistentwiththeaxiomsofrevealedpreference,suchasGARP.Theresults,reportedinAndreoniandMiller[1998],indicatethatindeedasimpleneoclassicalframeworkwithwell-behavedpref-erencesforgivingcanbeusedtodescribethedata.Thispaperextendstheirworktowhetherdemandsdifferbysex.EachsessionoftheexperimentwasconductedbyŽrstassem-blingallthesubjectsinaverylargelecturehall,beingcarefultokeepsubjectsseparated.Thesubjectswerethengivenanenve-lopecontainingtheirinstructions,apencil,anda“claimcheck”withtheiridentiŽcationnumberonit.Thesubjectsusedtheclaimchecktocollecttheir“earningsenvelope”attheendoftheexperiment.Theproceduresguaranteedthatneitherthesubjectsnortheexperimentercouldlinkanyonetotheirchoices.ThesubjectsweretoldthattheirtaskwastoallocateaŽxednumberoftokensbetweenthemselvesandananonymouspersonrandomlychosenfromthegroup.Allsubjectsweregiveneightdifferentallocationproblemsandwereaskedtomakeanalloca-tiondecisionineachofthem.10Theyweretoldthattheexperi-menterwouldchooseoneoftheproblemsatrandomandcarryoutthesubject’sdecisionwithanotherrandomlychosensubjectastherecipient.Eachofthedecisionproblemsdifferedinthenum-beroftokenstobedividedandthenumberofpointsatokenwasworthtoeachsubject.Allsubjectsweregiventhesamesetofdecisionproblems,althoughtheorderoftheproblemswasran-domizedforeachsubject.Tokenswerewortheither1,2,or3pointseach,andtotaltokensavailablewaseither40,60,75,or100.Foreachdecisionproblem,subjectsweretoldtheycouldholdtokensorpassthemtotheotherplayer.SubjectsmadetheirdecisionbyŽllingintheblanksinthestatementslikethefollow-ing:“Divide60tokens:Holdat1pointeach,andPassat 2pointseach.”Finally,subjectsweretoldthateachpointearnedwouldbeworth$0.10inpayoff,hence75pointswouldearn$7.50.EachoftheeightproblemsislistedinTableI.Noticethatthevaluesofthetokenscanbeusedtocalculate10.Whileitisofinteresttosolicitaverylargenumberofdecisions,wewantedtosecurethesubjectsareasonableexpectedreturnfromeachdecision;hencethenumberofallocationproblemswaslimitedtoeight.296QUARTERLYJOURNALOFECONOMICS thesubjects’budgetsintermsofpayoffs.ConsiderBudget1.Inthiscase,transferringatokenraisestheothersubject’spayoffpoby3points,andreducesone’sownpayoffpsby1,implyingthatthepriceoftheopponent’spayoff,po,is0.33andthepriceofps,is1.Inthiswaywecanthinkofthetokenendow-mentasanincomevariable,thepriceofself-payoffastheinverseoftheholdvalue,andthepriceofother-payoffastheinverseofthepassvalue.InordertopoolthedatafromtheUniversityofWisconsinwiththosefromIowaStateUniversity,wemustbesurethatthepotentialresultsareduetogenderdifferencesandnottoinstitu-tionaldifferences.Whencomparingmeangivingforeachsexandbudget,onecannotrejectthehypothesisthatgenerosityisthesameatWisconsinasatIowaState.Thus,thesampleswerepooledforouranalysis,creatingacombinedsampleof47femalesubjectsand95malesubjects.III.RESULTSWewillreporttheresultsintwoparts.First,wewilllookattherawdataforevidenceofmaleandfemaledifferences.Second,wewillcharacterizethatdifferenceinaneconomicallymeaning-fulway,thatis,throughutility,demandcurves,andelasticity.III.A.IsThereaMale-FemaleDifference?Acrosstheeightbudgetsmenonaveragepassed$2.56(s.d.1.18)totheotherplayer,whilewomenpassedanaverageof$2.60TABLEIALLOCATIONCHOICES BudgetTokenendowmentHoldvaluePassvaluepsPricepoPrice140131.000.33260121.000.50375121.000.50460111.001.005100111.001.00660210.501.00775210.501.00840310.331.00 297WHICHISTHEFAIRSEX? (s.d.0.83).ThisdifferenceisnotsigniŽcant(t=0.24),indicatingthatonaveragemalesandfemalesareverysimilar.11Thissimplecomparisonofsamplemeansacrosstheeightbudgets,however,isquitemisleading.InTableIIweshowthechoicesacrosseachofthebudgets.Hereweexpressthebudgetsbychoosingown-payoffpsasthenumeraire,andlettingp=po/psbetherelativepriceofgivingtotheothersubjects,andlettingrealincomembethetokenendow-mentdividedbyps.Whenexaminingthemeangivingacrossindividualbudgets,weseelargedifferencesbetweenmalesandfemales.First,whentherelativepricechangesinfavorofgiving,bothmalesandfemalesincreasethepayoffpassed;however,theydosointwoentirelydifferentmanners.Menonaverageincreasetheproportionoftokensgiven,whereaswomendecreasetheproportion.Theresultingrangeofpayoffpassedisthereforelargerformalesthanforfemales.Second,neithergenderisuniformlymorealtruisticthantheother.Womenappearlessgenerousthanmenwhenthepriceofother-payoff,po,islowerthanthepriceofself-payoff,ps,whiletheoppositeholdswhentherelativepriceofgivingisgreaterthanorequaltoone.ThisdifferenceissigniŽcantwhentherelativepriceofgivingislargerthanone,andismarginallysigniŽcantwhentherelativepriceislessthanone.1211.With8budgetsand142subjects,N=1136.12.Thep-valueofaone-tailedtestis0.026forBudget1,0.07forBudget2,and0.063forBudget3.TABLEIIMEANPAYOFFTOOTHERPARTY BudgetTokenendowmentIncomempo/psAllsubjectsMalesubjectsFemalesubjectst-stat1404.001/33.794.183.011.962606.001/24.024.303.491.483757.501/24.685.004.031.534606.0011.541.361.9122.26510010.0012.522.332.9221.4266012.0021.421.211.8222.0777515.0021.711.422.2922.3584012.0030.890.671.3222.97Average2.572.562.6020.24 298QUARTERLYJOURNALOFECONOMICS FigureIillustratesthisŽndingbyshowingtheamountofincomepassedasafractionofownincome,m.Notethatmistheamountonewouldearnbypassingnothingtotheothersubject.Wecanseethatthiscurve,whichisnotaproperdemandcurve,isatterformalesthanforfemales,andthatthemalecurvecrossesthefemalecurvefrombelow.Thatis,formentheratioofpayoffpassedtoincomeismoresensitivetopricethanitisforwomen.13III.B.AnEconomicStatementoftheDifferenceOnecanconceptualizethesedifferencesbyassumingthatsub-jectshavewell-behavedpreferencesoftheformUs=Us(ps,po)overthebudgetps+ppo=m,wherepdenotestherelativepriceofgiving,po/ps,andmdenotestherealvalue(inunitsofps)ofagiventokenendowment.Thisimpliesthatwecanviewthepayoffpassed,po,asresultingfromademandfunctionpo=po(p,m).Usingthisapproach,thegenderdifferenceinpricerespon-13.Thedataforbudgetswiththesamerelativepricewerepooledforthisanalysis.Anexaminationofpayoffpassedasproportionofincomedemonstratesthatforagivenpricewecannotrejectthehypothesisthattheallocatedincomehasnoeffectontheproportionofpayoffpassed(forfemalesthep-valueis0.60atpo/ps=12,0.56atpo/ps=1,and0.98atpo/ps=2;formalesthep-valueis0.58atpo/ps=12,0.87atpo/ps=1,and0.74atpo/ps=2).FIGUREIPayoffPassedasFractionofIncome299WHICHISTHEFAIRSEX? sivenesscanbeviewedasadifferenceinthepriceelasticityofdemand.Holdingincomeconstantandcomparingtheindividualdemandsattwodifferentpricelevels,wecancalculatethearcpriceelasticityforeachindividual.Therearetwosuchpossiblecomparisons,andforbothoftheseweŽndthattheaverageofthefemalepriceelasticityissmallerthanitisformales.Atanincomeof$12.00andforanincreaseinpricefromp=2top=3,theaveragepriceelasticityformenis21.03,andthatforwomenis20.60.Atanincomeof$6.00andforapriceincreaseofp=12top=1,theresultissimilar;theaveragepriceelasticityformalesis21.12,andforfemalesitis20.70.InbothcasesthedifferenceissigniŽcant.14Whilethemaledemandonaverageiselastic,thatoffemalesisinelastic.Anotherwaytolookatsexdifferencesistoexaminethevariationwithinasubject.Acloserlookatthedata(seeAndreoniandMiller[1998])revealsthattherearethreebehavioralclustersconsistentwithbehaviorunderthreedifferentutilityfunctions.First,somesubjectschosetofree-rideandtopassnotokens;henceitislikelythattheirobjectivefunctionisoftheform,Uf(ps,po)=ps.Second,otherschosetoprovideeachparticipantwithequalpayoffs,implyingbehaviorconsistentwiththatofaLeontiefutilityfunctionUl(ps,po)=min{ps,po}.Finally,agroupofmalesallocatedtheirtokenstothepersonwiththehighestredemptionvalue,implyingthatautilityfunctionofperfectsub-stitutes,Up(ps,po)=ps+po,canrationalizetheirbehavior.Withthesethree“strong”cases,wecanexactlydescribethechoicesof47percentofthemalesubjectsand36percentofthefemales.TheremainingsubjectsdidnoteasilyŽtthesewell-knowncases.Instead,byminimizingtheEuclideandistancebe-tweentheactualbehaviorandthebehaviorpredictedbyoneofthethreeutilityfunctions,thesesubjectscanbeclassiŽedasweaklysimilartooneofthethreeutilityfunctions.TableIIIillustratestheclassiŽcationsformalesandfemales.BycombiningthestrongandweakclassiŽcations,weseeseveraldifferences.First,almosthalfthemenareselŽsh,while14.Asimplet-testrevealsthatthearcpriceelasticityissmallerformalesthanforfemaleswithap-valueof0.089whenthepriceincreasesfrom2to3,andwithap-valueof0.007whenthepriceincreasesfrom12to1.Apracticallyidenticalresultwasfoundfrom10,000independentbootstrapsamples.Forapriceincreasefrom2to3wefoundthatonly8.7percentof10,000meanfemaleelasticitieswerelargerthanthecorrespondingmeanformen.Forapriceincreasefrom12to1,only0.5percentofthemeanelasticitiesforfemalesweregreaterthanformales.300QUARTERLYJOURNALOFECONOMICS only36percentofthewomenareselŽsh.Second,menarefarmorelikelytotreatother-payoffasaperfectsubstitutetotheirownpayoff.Finally,thechoicesof54percentofthewomenresemblebehaviormostconsistentwithaLeontiefutilityfunc-tion,whileonly25percentofthemenappeartohavesuchpreferences.ThesedifferencesareshowninFigureII.Asex-pected,werejectthenullhypothesisthattheutilityfunctionclassiŽcationisindependentofgender(x[2]2=13.39,a0.001).15Inparticular,menaremorelikelytobeeitherperfectlyselŽshortomaximizetotalpayoffsofbothsubjects,whilewomenaremorelikelytoinsistonequality.Notethatwecanuseourresultstounderstandgenderdif-ferencesinotherexperimentsbyestimatingrepresentativede-mandcurvesformalesandfemales.Ratherthanestimatingasingleaggregatedemandcurve,weaggregateourownfunctionbasedontheresultspresentedabove.FromTableIIIweseethatthree“strong”functionalformsofdemandcandescribenearlyhalfofoursubjects.ThesethreeareLeontief(l),perfectsubstitutes(p),andselŽsh(f).Weassumethatpreferencesforthesesubjectsareobservedwithouterror,andforeachcasewesolveforanindividualdemandfunction,poj,j=l,p,f.Fortheestimationweassumethatsubjectsinthe“weak”Žttingcategoryhavedemandsoftheform,pow(p,m)=(12a)g2+am/p2ag1/p.16Inestimatingthisdemandfunction,we15.SimilarresultsholdwhenwelookatthedataaspresentedinTableIII.WhendeterminingwhetherthestrongclassiŽcationisindependentofgenderx[2]2=6.37,andfortheweakclassiŽcationx[2]2=8.44.16.Thatis,theunderlyingpreferencesareoftheLinearExpenditureModel(LEM)form,U(ps,po)=(ps2g1)12a(po2g0)a.ThebeneŽtofusingthisfunctionTABLEIIISUBJECTCLASSIFICATIONBYPUTILITYFUNCTIONa UtilityfunctionMaleFemaleStrongWeakTotalStrongWeakTotalSelŽsh24214571017Leontief131124101525Perfectsubstitutes81826044 a.AfemalesubjectexactlyhalfwaybetweenstrongLeontiefandPerfectsubstitutesisnotincludedinthisanalysis.301WHICHISTHEFAIRSEX? needtoappropriatelyaccountforthecharacteristicsofourdata.First,subjects’choicesarecensoredatbothendsofthebudgetconstraint,andsecond,ourdataconsistofeightdecisionsperindividual.Toappropriatelycontrolforbothofthesefeaturesofthedata,weestimatearandom-effectstwo-limittobitmodel.Finally,theerrortermwasfoundtobehetereoskedasticwhendemandswerespeciŽedinlevels.Hence,toassurehomoskedas-ticity,thedemandswereestimatedasbudgetshares.TheresultsfortheweakcategoryarereportedinTableIV.WhileallthecoefŽcientsofthemaledemandfunctionaresigniŽcant,onlythecoefŽcientonincomeissigniŽcantlydifferentfromzeroforfemales.17ComparingtheloglikelihoodfunctionsrevealsthatthecoefŽcientsformenandwomenintheweakcategoryaresigniŽcantlydifferentfromoneanother(x[5]2=34.81).Wecannowcombinetheindividualdemandcurvestoformaweighteddemandcurve.Letqkbetheproportionofsubjectsineachgroupk.Thentheweightedmaleandfemaledemandfunc-tionsare isthatitallowsustocapturepotentialgenderdifferencesinpriceaswellasincomeelasticities.17.ForallthreeregressionswecanrejectthejointhypothesisthatthecoefŽcientsequalzero:forfemalesx[2]2=6.7,formalesx[2]2=122.7,andforallx[2]2=107.7. FIGUREIIPreferenceDistribution(StrongandWeak)302QUARTERLYJOURNALOFECONOMICS po(p,m)5qwpow(p,m)1qlpol(p,m)1qppop(p,m)1qfpof(p,m).FigureIIIillustratesthetwodemandfunctionsform=100,whichcorrespondstopredicteddemandsinatraditional$10dictatorgame.18Notethatwecanrejectthehypothesisthatthedemandfunctionsarethesameformalesandfemales,withx[8]2=49.54.19Assuggestedabove,themaleandfemale“demandcurvesforaltruism”doindeedcross.Athighpricesofaltruismwomendemandmore;atlowpricesmendemandmore;andatpricesinbetweenmenandwomenareequallyaltruistic.Furthermore,therepresentativemaledemandcurveismoreresponsivetoapricechangethanthefemaledemandcurve.Notethatthereasonthatthemaledemandcurveisnotaone-to-onemappingatp=1isthatcloseto10percentofthemalesviewown-andother-payoffasperfectsubstitutes,henceacontinuumofdemandsisoptimalatp=1.III.C.ComparisontoOtherStudiesAreourŽndingsconsistentwithpriorstudiesondictatorgames?Mostotherstudieshavefoundthatsubjects,onaverage,18.Inmakingthesepredictions,onemustaccountforthecensoringofindi-vidualdemands.19.Thisisatestofthehypothesisthatthesetofparametersthatgeneratethemaledemandcurveequalsthatoffemales.TherelevantparametersaretheŽveestimatedcoefŽcientsfromtheweakdemandcurves—includingsuandse,theparameterestimatesfortheerrortermsresultingfromtherandomeffectstobitestimation—plusthethreeproportionsofsubjectsinstrongpreferencegroups.TABLEIVESTIMATESOFWEAKLEMDEMANDFUNCTIONSa MaleandfemaleFemaleMalepo(p,m)212.0310.28m p19.51 p22.4910.24m p14.90 p218.5310.32m p112.23 p(2.05)(0.05)(1.99)(2.87)(0.07)(2.85)(2.75)(0.07)(2.60)N803050lnL2195.13244.362133.36 a.Numbersinparenthesesarestandarderrorsoftheestimatesdirectlyabovethem.303WHICHISTHEFAIRSEX? giveawayabout25percentofagivenpie.20Inour$10.00dictatorgametheaveragegiftis$2.52(25.2percent),andinthe$6.00gametheaveragegiftis$1.54(25.6percent),whichsuccessfullyreplicatesearlierstudies.Next,canourresultsexplainthemixedevidenceongenderdifferencesfromotherexperiments?Whilewecanmakesomecomparison,therearemanydifferencesacrossexperimentsthatmakedirectcomparisonsdifŽcult.Inparticular,weŽndthemaximumvarianceinthebehaviorofmenwhenthepriceofaltruismisunity.Unfortunately,thisistheprevailingpriceinmanyexperiments.So,forinstance,thefactthatBoltonandKatok[1995]ŽndnosexdifferenceswhenthepriceisoneisnotasurpriseinlightofourŽnding.21NorisitinconceivablethatEckelandGrossman[1997b],comparingall-malewithall-female20.See,forexample,Forsytheetal.[1994],CasonandMui[1997],Bolton,Katok,andZwick[1998],andBohnetandFrey[1999a,1999b].21.Also,BoltonandKatok[1995]donotallowgivingtoexceed50percent,makingcomparisontoourresultsmoredifŽcult.FIGUREIIIAverageLEMDemandCurves(m=100)304QUARTERLYJOURNALOFECONOMICS groupswithapriceofone,ŽndthatwomenaresigniŽcantlymoreFinally,EckelandGrossman[1996],inasequentialgame,Žndthatwomenare,overall,morelikelytopaytopunishself-ishnessthanaremen.Inarelatedstudy,CrosonandBuchan[1999]foundthatwomenaremorelikelytorewardgenerouscontributionsinthetrustgame.ItisdifŽculttocomparedemandsforrewardsandpunishmentwithourestimatesofdemandforaltruism.However,theseŽndingsdoshowthatfemaleshavemoreofaninterestinequalityandjustice,whichisverymuchinsyncwithourŽndingthatwomenweremorelikelytobeIV.DISCUSSIONWhatdotheseresultsmeanforexperimentalresearch?First,theyindicatethattherearesystematicdifferencesbysex,andthatthesecanhaveimportantandinterestingconsequencesforeconomicbehavior.Second,theresultshaveimplicationsforex-perimentalmethodology.Inparticular,experimentersmayneedtotakegreatercareinassuringthattheirstudiesaregenderbalanced,andthatŽndingsareduetoeconomicfactorsandnotthegendercompositionoftheirsamples.Doourresultsapplyoutsideofexperiments?Anaturalplacetolookforsexdifferencesinaltruismisincharitablegiving.Foryears,publiceconomistshavebeenstudyingtheeffectofthecharitabledeductionfortaxpayers,whichactsasasubsidytolowerthepriceofgiving.Ifmenandwomenhavesystematicallydifferentpriceelasticities,thentaxpolicycouldhaveadifferentincidenceonmalesthanfemales,andoncharitieswhosedonorsmayvarybysex.Usingthe1992and1994surveysbytheInde-pendentSector,Andreoni,Brown,andRischall[1999]showthatonecanrejectthehypothesisthatsinglemenandsinglewomenhavethesamedemandfunctionsforannualgiving.InstartlingresemblancetoourresultstheyŽndthatthemaledemandforaltruismismoreelasticthanthatoffemales,andthatthetwodemandcurvescrossinawaythatresemblesFigureIabove.Similarresultsholdwhencomparingmaleandfemale“deciders”inmarriedhouseholds,wherethedecideristhespousewhoisreportedtobeprimarilyresponsibleforthecharitablegivingdecisions.Again,marriedmaledecidersarefarmorepriceelasticthanmarriedfemaledeciders.305WHICHISTHEFAIRSEX? Anotherarenaforaltruismisrestauranttipping.Theloreisthatwomentiplessthanmen.AccordingtorecentworkbyConlin,O’Donoghue,andLynn[1999],thisdependson,amongotherthings,thesizeofthebill.Theseresearchersinterviewedcustomersleavingover40restaurantsinHouston,Texas.Theresultsindicatethatpeopletendtoview15percentofthebillastheappropriatetipforaserverwhoperformswell.Asthebillsizegetslarger,however,meetingthissocialnormbecomesmoreexpensive.WhatConlin,O’Donoghue,andLynn’sdatarevealisthat,infact,thepercent-tipisadecreasingfunctionofthebillsizeforbothmenandwomenandthatmen’spercent-tipismoreresponsivetothebillsizethanwomen’s.22Allelseequal,asthebillsizeincreases,men’spercent-tipsdeclineatafasterratethanthoseofwomen.Forthetypicalmaleandfemalediners,menwilltipbetterthanwomenforsmallbills,uptoabout$27,butafterthatthewomenbecomebettertippers.ThisisperfectlyconsistentwithourŽndingsintheexperiment.V.CONCLUSIONThisstudyŽndsthat,dependingonthepriceofgiving,eithersexcanbefoundtobemorealtruistic.Whenthepriceofgivingislow,menappearmorealtruistic,andwhenthepriceishigh,womenaremoregenerous.Stateddifferently,menaremorelikelytobeeitherperfectlyselŽshorperfectlyseless,whereaswomencaremoreaboutequalizingpayoffs.ThisleadstodemandcurvesforaltruismthatcrossandthoseformenaremoreThereareseveralimportantconsequencesofthisresult.First,thisŽndingcanpotentiallyunifyaliteraturethathasthusfarbeenfracturedbyinconsistentŽndings.Byshowingthatdifferencesinaltruismdependontheprice,wecanbegintoorganizestudiesthatsometimesfoundmentobemorealtruisticandsometimeswomen.Second,thisindicatesaneedformore22.ThisŽndingwascommunicatedtousthroughpersonalcorrespondencefromtheauthors.Wedeeplyappreciatetheirwillingnesstoprovideuswithinformationthatrelatestothehypothesisofthispaper.Theestimatesarebasedonasampleof2141customers.Independentvariablesincludethebill-size,bill-sizesquared,sexofthecustomer,andsexinteractedwiththebill-size,andbill-sizesquared,ageofthecustomer,groupsize,coursesordered,alcoholcon-sumption,ratingsforqualityoffoodandservice,whethertheserverandcustomerarethesamesex,anindicatorofhowoftenthecustomerdinesatthatrestaurant,inadditiontoŽxedeffectsforeachrestaurant.Theslopeoftheestimatedresponsetobill-sizeissteeperformenforallbillsinexcessof$10.26.306QUARTERLYJOURNALOFECONOMICS attentiontosexdifferencesinexperimentaleconomics.Ifdiffer-encesappearwithrespecttoaltruism,theymayappearinotherbehavioraswell.23This,inturn,meansthatresearcherswouldbewisetoassurethattheirexperimentalŽndingsaretheresultofeconomicincentivesandnotofvaryingsexcompositionsoftheircontrolandtreatmentgroups.Therearealsopotentialapplicationsofthisresulttotherealworld.Ifsexdifferencesinaltruismaretrulypresent,assug-gestedbyevidencefromcharitablegivingandfromrestauranttipping,thenthosewhobrokerinaltruism,suchascharitiesandfundraisers,mayŽnditintheirintereststolearnmoreaboutthesedifferencesandtoexploitthemintheirenterprises.Fortaxpolicy,sexdifferenceinaltruismmayalsoindicatethattheinci-denceofthetaxdeductiontocharitymaydifferbysexaswell,withmen—andthecharitiestheyfavor—gettingagreatershareofthesubsidy.Insum,whenobservablecharacteristicsofindividualshavepredictableeffectsonbehavior,itpresentsimportantopportuni-tiesforeconomiststolearnaboutbehavior,aswellasimportantwarningsignsabouthowtocollectandanalyzedata.Thisstudygivesmoreevidencetothepropositionthatgenderdifferencesineconomicexperimentsmaybeonesuchfactorthatresearcherswillhavetoexaminemorecarefullyinthefuture.APPENDIXClaimCheckNumber WelcomeThisisanexperimentaboutdecisionmaking.Youwillbepaidforparticipating,andtheamountofmoneyyouwillearndependsonthedecisionsthatyouandtheotherparticipantsmake.Ifyoumakegooddecisions,youstandtoearnaconsider-ableamountofmoney.23.Evidenceisrisingthattherearesexdifferencesinriskaversionaswell.See,forexample,Levin,Snyder,andChapman[1988],HudgensandFatkin[1985],ZinkhanandKarande[1991],Arch[1993],andKoganandWallach[1964].RecentevidenceintheeconomicsliteraturealsosupportsthisŽnding.SeeEckeletal.[1997],JianakoplosandBernasek[1998],andPowellandAnsic[1998].307WHICHISTHEFAIRSEX? Theentireexperimentshouldbecompletewithinanhour.Attheendoftheexperimentyouwillbepaidprivatelyandincashforyourdecisions.Aresearchfoundationhasprovidedthefundsforthisexperiment.YourIdentityYouwillneverbeaskedtorevealyouridentitytoanyoneduringthecourseoftheexperiment.Yournamewillneverberecordedbyanyone.Neithertheexperimentersnortheothersubjectswillbeabletolinkyoutoanyofyourdecisions.Inordertokeepyourdecisionsprivate,pleasedonotrevealyourchoicestoanyotherparticipant.ClaimCheckAtthetopofthispageisanumberonayellowpieceofpaper.ThisisyourClaimCheck.Eachparticipanthasadifferentnum- ber.YoumaywanttoverifythatthenumberonyourClaimCheckisthesameasthenumberonthetopofpage4.YouwillpresentyourClaimChecktoanassistantattheendoftheexperimenttoreceiveyourcashpayment.Pleaseremoveyourclaimchecknowandputitinasafeplace.THISEXPERIMENTInthisexperimentyouareaskedtomakeaseriesofchoicesabouthowtodivideasetoftokensbetweenyourselfandoneothersubjectintheroom.Youandtheothersubjectwillbepairedrandomly,andyouwillnotbetoldeachother’sidentity. Asyoudividethetokens,youandtheothersubjectwilleachearnpoints.Everypointthatsubjectsearnwillbeworth10cents.Forexample,ifyouearn58pointsyouwillmake$5.80intheEachchoiceyoumakeissimilartothefollowing:Example:Divide50tokens:Hold]1pointeach,andPass]2 pointseach.Inthischoiceyoumustdivide50tokens.Youcankeepallthetokens,keepsomeandpasssome,orpassallthetokens.Inthisexample,youwillreceive1pointforeverytokenyouhold,andtheotherplayerwillreceive2pointsforeverytokenyoupass.Forexample,ifyouhold50andpass0tokens,youwillreceive50308QUARTERLYJOURNALOFECONOMICS points,or503$0.10=$5.00,andtheotherplayerwillreceivenopointsand$0.Ifyouhold0tokensandpass50,youwillreceive$0andtheotherplayerwillreceive5032=100points,or1003$0.10=$10.00.However,youcouldchooseanynumberbetween0and50tohold.Forinstance,youcouldchoosetohold29tokensandpass21.Inthiscaseyouwouldearn29points,or293$0.10=$2.90,andtheothersubjectwouldreceive2132=42points,thatis423$0.10=$4.20.Hereisanotherexample:Example:Divide40tokens:Hold]3pointseach,andPass]1 pointeach.Inthisexampleeverytokenyouholdearnsyou3points,andeverytokenyoupassearnstheothersubject1point.Again,eachpointyouearnisworth$0.10toyou,andeachpointtheothersubjectearnsisworth$0.10totheothersubject.ImportantNote:Inallcasesyoucanchooseanynumberto holdandanynumbertopass,butthenumberoftokensyouholdplusthenumberoftokensyoupassmustequalthetotalnumber oftokenstodivide.Pleasefeelfreetouseyourcalculator,oroneprovidedbytheexperimenter,tocalculatepointsandtoassurethatallofthetokenshavebeenallocated.EARNINGMONEYINTHISEXPERIMENTYouwillbeaskedtomake8allocationdecisionsliketheexampleswejustdiscussed.Wewillcalculateyourpaymentsasfollows:Afterallyourdecisionsformshavebeencollected,wewillshufetheformsandrandomlypairyourformwiththatofanothersubjectinthisexperiment.Usingatableofrandomnumbers,wewillselectoneofyourdecisionstocarryout.Youwill thengetthepointsyouallocatedinthe“hold”portionofyourdecision,andtheothersubjectwillgetthepointsyouallocatedonthe“pass”portionofyourdecision.Youwillthenbepairedagainwithadifferentsubjectintheexperiment.Thistimewewillrandomlychooseoneoftheothersubject’seightdecisionstocarry out.Theothersubjectwillgetthepointsinthe“hold”portionofthedecision,andyouwillgetthepointsinthe“pass”portion.Wewillthentotalthepointsfromthesetwopairingsanddetermineyourmonetaryearnings.Theseearningswillbeplaced309WHICHISTHEFAIRSEX? inyourearningsenvelope.Themonitorchosenatthebeginningoftheexperimentwillverifythattheseproceduresarefollowed.Afterallthecalculationshavebeenmade,anotherexperi-menterwhowasnotinvolvedintheexperimentuntilthistimewillaskyoutobringupyourclaimcheckandwillhandyouyourearningsenvelope.Thiswillagainhelptoguaranteeyourprivacy.Onthefollowingpagearethe8choiceswewouldlikeyoutomake.PleaseŽllouttheform,takingthetimeyouneedtobeaccurate.Whenallsubjectsaredone,wewillcollecttheforms.Thankyouverymuch.Goodluck)ClaimCheckNumber DECISIONSHEETDirections:PleaseŽllinalltheblanksbelow.MakesurethenumberoftokenslistedunderHoldplusthenumberlistedunderPassequalsthetotalnumberoftokensavailable.Remember,allpointsareworth$0.10toallsubjects.1.Divide40tokens:Hold@3pointseach,andPass @1pointeach.2.Divide40tokens:Hold@1pointseach,andPass @3pointeach.3.Divide60tokens:Hold@2pointseach,andPass @1pointeach.4.Divide60tokens:Hold@1pointseach,andPass @2pointeach.5.Divide75tokens:Hold@2pointseach,andPass @1pointeach.6.Divide75tokens:Hold@1pointseach,andPass @2pointeach.7.Divide60tokens:Hold@1pointseach,andPass @1pointeach.8.Divide100tokens:Hold@1pointseach,andPass @1pointeach. UNIVERSITYOFWISCONSINIOWASTATEUNIVERSITYREFERENCESAndreoni,James,“AnExperimentalTestofthePublicGoodsCrowding-OutAmericanEconomicReview,LXXXIII(1993),1317–1327.310QUARTERLYJOURNALOFECONOMICS ——,“CooperationinPublicGoodsExperiments:KindnessorConfusion?”Amer-icanEconomicReview,LXXXV(1995),891–904.Andreoni,James,EleanorBrown,andIsaacRischall,“CharitableGivingbyMarriedCouples:WhoDecidesandWhyDoesitMatter?”WorkingPaper,UniversityofWisconsin—Madison,1999.Andreoni,James,andJohnH.Miller,“GivingAccordingtoGARP:AnExperi-mentalTestoftheRationalityofAltruism,”WorkingPaper,UniversityofWisconsin—Madison,1998.Arch,ElizabethC.,“Risk-Taking:AMotivationalBasisforSexDifferences,”PsychologicalReports,LXXIII(1993),3–11.Bolton,GaryE.,andElenaKatok,“AnExperimentalTestforGenderDifferencesinBeneŽcentBehavior,”EconomicsLetters,XVIII(1995),287–292.Bolton,GaryE.,ElenaKatok,andRamiZwick,“DictatorGameGiving:RulesofFairnessversusActsofKindness,” InternationalJournalofGameTheory, XXVII(1998),269–299. Bohnet,Iris,andBrunoS.Frey,“SocialDistanceandOther-RegardingBehaviorinDictatorGames:Comment,” AmericanEconomicReview, LXXXIX(1999a), 335–339. Bohnet,Iris,andBrunoS.Frey,“TheSoundofSilenceinPrisoner’sDilemmaandDictatorGames,” JournalofEconomicBehaviorandOrganization, XXXVIII (1999b),43–57. Brown-Kruse,Jamie,andDavidHummels,“GenderEffectsinLaboratoryPublicGoodsContribution:DoIndividualsPutTheirMoneyWhereTheirMouthIs?”JournalofEconomicBehaviorandOrganization,XXII(1993),255–267.Cason,TimothyN.,andVai-LamMui,“ALaboratoryStudyofGroupPolarisationintheTeamDictatorGame,” EconomicJournal, CVII(1997),1465–1483. Conlin,Michael,TedO’Donoghue,andMichaelLynn,“TheEconomicsofTipping:ImplicitContract,RepeatedGameandBehavioralResponses,”WorkingPa-per,CornellUniversity,1999.Croson,Rachel,andNancyBuchan,“GenderandCulture:InternationalExperi-mentalEvidencefromTrustGames,”AmericanEconomicReview,LXXXIX(1999),386–392.Eagley,A.H.,“TheScienceandPoliticsofComparingWomenandMen,”Ameri-canPsychologist,L(1995),145–158.Eckel,CatherineC.,andPhilipGrossman,“TheRelativePriceofFairness:Gen-derDifferencesinaPunishmentGame,” JournalofEconomicBehaviorand Organization, XXX(1996),143–158. Eckel,CatherineC.,andPhilipGrossman,“ChivalryandSolidarityinUltimatumGames,”WorkingPaper,VirginiaPolytechnicInstituteandStateUniversity,1997a.Eckel,CatherineC.,andPhilipGrossman,“AreWomenLessSelŽshthanMen?EvidencefromDictatorExperiments,”EconomicJournal,CVII(1997b),726–735.Eckel,CatherineC.,andPhilipGrossman,“DifferencesintheEconomicDecisionsofMenandWomen:ExperimentalEvidence,”forthcoming,HandbookofResultsinExperimentalEconomics,C.PlottandV.Smith,eds.(Amsterdam:North-Holland,1998).Eckel,CatherineC.,PhilipGrossman,NancyLutz,andV.Padmanbhan,“PlayingItSafe:Men,Women,andRiskAversion,”WorkingPaper,VirginiaPolytech-nicInstituteandStateUniversity,1997.Eller,MarthaBritton,“FederalTaxationofWealthTransfers,”StatisticsofIn-comeBulletin,(1997),8–63.Forsythe,Robert,JoelHorowitz,N.S.Savin,andMartinSefton,“FairnessinSimpleBargainingGames,” GamesandEconomicBehavior, VI(1994), 347–369. Hudgens,GeraldA.,andLindaTorsaniFatkin,“SexDifferencesinRiskTaking:RepeatedSessionsonaComputer-SimulatedTask,”JournalofPsychology,CXIX(1985),197–206.Isaac,R.Mark,JamesM.Walker,andArlingtonW.Williams,“GroupSizeandtheVoluntaryProvisionofPublicGoods:ExperimentalEvidenceUtilizingLargeGroups,”JournalofPublicEconomics,LIV(1994),1–36.311WHICHISTHEFAIRSEX? Jianakoplos,NancyAmmon,andAlexandraBernasek,“AreWomenMoreRiskAverse?”EconomicInquiry,XXXVI(1998),620–630.Kogan,Nathan,andMichaelA.Wallach,RiskTaking:AStudyinCognitionand(NewYork:Holt,RinehartandWinston1964).Levin,IrwinP.,MaryA.Snyder,andDanielP.Chapman,“TheInteractionofExperientialandSituationalFactorsandGenderinaSimulatedRiskyDe-cision-MakingTask,”JournalofPsychology,CXXII(1988),173–181.Mixer,JosephR.,PrinciplesofProfessionalFundraising(SanFrancisco,CA:Jossey-BassInc.,1993).Nowell,Clifford,andSarahTinkler,“TheInuenceofGenderintheProvisionofaPublicGood,”JournalofEconomicBehaviorandOrganization,XXV(1994),25–36.Ostrander,SusanA.,andJoanM.Fisher,“WomenGivingMoney,WomenRaisingMoney:WhatDifferenceforPhilanthropy?”CharlesH.HamiltonandWarrenF.Ilchman,eds.,CulturesofGivingII:HowHeritage,Gender,Wealth,andValuesInuencePhilanthropy,NewDirectionsforPhilanthropicFundrais-ing,No.8(1995).Ostrower,Francie,WhytheWealthyGive:TheCultureofElitePhilanthropy(Princeton,NJ:PrincetonUniversityPress,1995).Panas,J.,“AreWomenDonorsReallyDifferentfomMen?”ChronicleofPhilan-thropy(February8,1994),43.Powell,Melanie,andDavidAnsic,“GenderDifferencesinRiskBehaviorinFi-nancialDecision-Making:AnExperimentalAnalysis,”WorkingPaper,Uni-versityofLeeds,UnitedKingdom,1998.Solnick,SaraJ.,“GenderDifferencesintheUltimatumGame,”WorkingPaper,UniversityofMiami,1997.VonSchlegell,A.J.,andFisher,J.M.,eds.,“WomenasDonors,WomenasNewDirectionsforPhilanthropicFundraising,No.2(1993).Zinkhan,GeorgeM.,andKiranW.Karande,“CulturalandGenderDifferencesinRisk-TakingBehaviorAmongAmericanandSpanishDecisionMakers,”Jour-nalofSocialPsychology,CXXXI(1991),741–742.312QUARTERLYJOURNALOFECONOMICS