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1、BARRIERSTOENTRYDECOMPOSINGTHEGENDERGAPINJOBSEARCHINURBANPAKISTANElisabettaGentile7NikitoKohli,NivedhithaSubramanian,ZuniaTirmazee,andKateVybornyNO. 707December 2023AdbeconomicsWORKINGPAPERSERIESADBEconomicsWorkingPaperSeriesBarrierstoEntry:DecomposingtheGenderGapinJobSearchinUrbanPakistanElisabetta

2、Gentile, Nikita Kohli, NivedhithaSubramanian, Zunia Tirmazee1 and Kate VybornyNo. 707 I December 2023The ADB Economics Working Paper Series presents research in progress to elicit comments and encourage debate on development issues in Asia and the Pacific. The views expressed are those of the author

3、s and do not necessarily reflect the views and policies of ADB or its Board of Governors or the governments they represent.Elisabetta Gentile (egentileadb.org) is a senior economist at the South Asia Department, Asian Development Bank. Nikita Kohli (nikita.kohli() duke.edu) is a PhD student and Kate

4、 Vyborny (katherine.vybornyduke.edu) is associate director ofthe DeVLabDUke and a research associate at the Department of Economics, Duke University. Nivedhitha Subramanian (nsubramabates.edu) is an assistant professor at Bates College. Zunia Tirmazee (zuniatirmazee) is an assistant professor at Lah

5、ore School of Economics.ICreativeCommonsAttribution3.0IGOlicense(CCBY3.0IGO)2023AsianDevelopmentBank6ADBAvenue,MandaluyongCity,1550MetroManila,PhilippinesTel+63286324444;Fax+63286362444Somerightsreserved.Publishedin2023.ISSN2313-6537(print),2313-6545(electronic)PublicationStockNo.WPS230551-2DOI:Thev

6、iewsexpressedinthispublicationarethoseoftheauthorsanddonotnecessarilyreflecttheviewsandpoliciesoftheAsianDevelopmentBank(ADB)oritsBoardofGovernorsorthegovernmentstheyrepresent.ADBdoesnotguaranteetheaccuracyofthedataincludedinthispublicationandacceptsnoresponsibilityforanyconsequenceoftheiruse.Themen

7、tionofspecificcompaniesorproductsofmanufacturersdoesnotimplythattheyareendorsedorrecommendedbyADBinpreferencetoothersofasimilarnaturethatarenotmentioned.Bymakinganydesignationoforreferencetoaparticularterritoryorgeographicarea,orbyusingthetermuntryinthispublication.ADBdoesnotintendtomakeanyjudgments

8、astothelegalorotherstatusofanyterritoryorarea.ThispublicationisavailableundertheCreativeCommonsAttribution3.0IGOlicense(CCBY3.0IGO)Byusingthententofthispublication,youagreetobeboundbythetermsofthislicense.Forattribution,translations,adaptations,andpermissions,pleasereadtheprovisionsandtermsofuseatht

9、tps:/www.adb.org/terms-use#openaccess.ThisCChtmaterialsintispublication.Ifthematerialisattributedtoanothersource,pleasentactthecopyrightownerorpublisherofthatsourceforpermissiontoreproduceit.ADBcannotbeheldliableforanyclaimsthatariseasaresultofyouruseofthematerial.Pleasentactpbsmarketing(g)adb.orgif

10、youhavequestionsorcommentswithrespecttoComenLorifyouwishtoobtaincopyrightpermissionforyourintendedusethatdoesnotfallwithintheseterms,orforpermissiontousetheADBlogo.CorrigendatoADBpublicationsmaybefoundatNote:Inthispublication,*PRsreferstoPakistanrupeesande$referstoUnitedStatesdollars.ADBrecognizesCh

11、inaasthePeoplesRepublicofChina.ABSTRACTGendergapsinlabormarketoutcomespersistinSouthAsia.Anopenquestioniswhethersupplyordemandsideconstraintsplayalargerrole.WeinvestigatethisusingmatcheddatafromthreesourcesinLahore,Pakistan:representativesamplesofjobseekersandemployers;administrativedatafromajobmatc

12、hingplatform;andanincentivizedresumeratingexperiment.Employers1genderrestrictionsarealargerconstraintonwomen,sjobopportunitiesthansupply-sidedecisions.Athigherlevelsofeducation,demand-sidebarriersrelax,allowingwomentoqualifyformorejobsbutatlowersalaries.Onthesupplyside,educatedwomenbecomemoreselecti

13、veintheirsearch.Keywords:gender,discrimination,jobsearch,jobsplatform,vacancies,applicationsJELcodes:J16,J22,J23,R23Wearegratefulforvaluablefeedbackfromseminar,conference,andworkshopparticipantsattheAsianDevelopmentBank,DukeUniversity,theDiversityandHumanCapitalWorkshopatExeter,theEuropeanEconomicAs

14、sociation,theIZAMatchingWorkersandJobsOnlineWorkshop,theLACDevConference,theADEConferenceattheLahoreSchoolofEconomics,theNorthEastUniversitiesDevelopmentConsortiumConference,theMaineEconomicsConference,theYaIe-ADBIGender-SensitiveEconomicRecoveryConference,andtheYaleEGCworkshop.WethankLiviaAlfonsi,E

15、milyConover,RohiniPande,DanilaSerra,andNiharikaSinghforcomments.WethanktheentireJobTalashteamatCERPandDukeforexcellentresearchassistanceandprogrammaticsupport.WethankEricaFieldandRobGarlickforhelpfulcommentsonthedraftandcollaborationonthebroaderJobTalashprogramofresearch.Wegratefullyacknowledgefundi

16、ngforthisprojectfromADB1andforthebroaderJobTalashresearchprogramfromtheGLM-LIC13IE,IGC,J-PAL1PEDL,andtheNationalScienceFoundation(SES1629317).ThisresearchreceivedethicsapprovalfromDukeUniversity(2019-0067).Previouslypresentedas,ALeakyPipeline:DecomposingthegendergapinjobsearchinurbanPakistan/1 Intro

17、ductionVastgendergapsinemployment,stemmingfromlowlevelsofwomensemployment,persistinmanylow-andmiddle-incomeeconomies,particularlyinSouthAsia,theMiddleEast,andNorthAfrica(Addatietal.,2016).Agrowingliteraturedocumentsthatsupplysidefactorssuchasself-selectingintooccupationsthatconformtogenderidentity,d

18、ifferingpreferencesforjobattributes,andgenderedsocialnormsabouttimeuseconstrainwomenslaborsupplyinthesecontexts.(AkerlofandKranton,2000;CortesandPan,2017;Delfino,2022;DeanandJayachandran,2019;Subramanian,2021;MasandPallais52017;Fletcheretal.12018).However,demand-sideratherthansupply-sidefactorsmight

19、formthebindingconstrainttowomenslaborforalargerfractionofthepopulationincontextswithlowfemalelaborforceparticipation(FLFP).Indeed,asmallerbodyofworkdemonstratesthatdemand-sidefactorssuchasfirmgenderpreferencescancontributetogendergapsinemployment(KuhnandShen,2013;GoldinandRouse,2000;Hangartneretal.t

20、2021;Ozenetal.i2019).Despitethewealthofresearchonlowfemaleemployment,wehavelimitedevidencequantifyingtherelativesizeofdemandandsupplyfactorsthatgiverisetothisphenomenon.Inaddition,muchoftheexistingevidencefocusesonspecificpopulations(e.g.educatedwomen)orsectors(e.g.governmentwork).Knowingwhethersupp

21、lyordemandconstraintsarebindinginthebroaderlabormarketisimportanttotargetpolicytoeithersupply-sideinterventions,suchasprovisionoffinancialservicestowomenorexposuretofemalerolemodels(Fieldetal.;Ahmedetal.,forthcoming),ortodemand-sideinterventionssuchaseliminatinggendercriteriainjobads,hiringquotas,wa

22、gesubsidies,physicalinfrastructuresuchaswomen,stoilets,oremployer-basedchildcare(Cardetal.,2021;Milleretal.,2022;KuhnandShen,2023).WeaddressthisgapintheliteraturebycombiningdatafromajobsearchplatformandincentivizedresumeratingexperimentfromLahore,Pakistan,toquantifytherelativeimportanceofdemand-side

23、andsupply-sidesourcesofthegendergap.Wedocumentthatatloweducationlevelsdemand-sideconstraintsaremuchlargerthansupply-sidefactors,butthisdemand-sidegapinquantityofjobopportunitiesclosesaseducationlevelsincreaseandjobsbecomemore,lwhite-collar.Ourempiricalapproachusesanovelcombinationofmatcheddatafromre

24、presentativesurveys,administrativedataonjobsearch,andexperimentaldatatoovercomefourkeychallengestoquantifyingthesizeofdemandandsupplysidefactorscontributingtothethegendergapinthelabormarket.Thefirstempiricalchallengeisthatsurveydatafromrepresentativesamplesofhouseholdsorfirmscanbeusedtoquantifythere

25、alizedgendergapinequilibrium,butdonotallowtheanalysttodecomposehowmuchofthisgapcomesfrommen,sandwomenswillingnesstosupplylaborversusfirms*demandformaleandfemalelabor.Second,alternativedatasourcessuchasjobplatformdataallowresearcherstoobservethedetailsofsearchactivitybyjobseekersandfirms;however,such

26、dataoftenhavelimitations(Nomuraetal.,2017).Theytypicallydonotallowtheresearchertoobservejobseekerpreferencesdirectly,onlytoinferthemfromapplicationchoices,whicharealsoinfluencedbyotherfactorssuchasthevacanciesavailableontheplatform.Similarly,theytypicallydonotallowtheresearchertoobserveawell-defined

27、choicesetofvacanciesobservedbythejobseeker,makingitdifficulttodisentanglewhetherthedecisiontoapplytoagivenvacancyisafunctionofthecharacteristicsofthatvacancyorofsearcheffortinbrowsingtheplatform(e.g.Belotetal.(2018);Wheeleretal.(2021);JonesandSen(2022);Banfietal.(2019);Matsudaetal.(2019),Third,selec

28、tionofbothfirmsandworkersintosearchandtheuseofjobsearchplatformslimitstheextenttowhichresultscanbeextrapolatedtothepopulationasawhole(Kurekovaetal.,2015).Addressingthesefirstthreechallenges,ourresearchpartnersattheCentreforEconomicResearchinPakistandevelopedanewjobmatchingplatform,JobTalash,andoffer

29、editasafreeservicetorepresentativelistingsofthousandsofhouseholdsandthousandsoffirmsinasingleurbanlabormarket.Weemphasizetheimportanceofstudyingtheformergroup,economicallyinactivelatentworkers/*whomightbeinterestedinworkingbutareeconomicallyinactiveduetolackofopportunities,whorepresentthepopulationw

30、iththelargestpotentialbenefitfromreductionsinlabormarketbarriers.ThisgroupisparticularlyimportantforunderstandinggenderdifferencesinsettingssuchasPakistan,wheresurveydatasuggestthatahighfractionofthefemalepopulationarelatentworkers.FemalelaborforceparticipationinPakistanwas21%in2020comparedtoamalela

31、borforceparticipationrateof78%(InternationalLabourOrganization,2019a,b);however,aquarterofwomenarenotworkingbutreporttheywouldliketoworkiftheycouldfindasuitablejob(FieldandVyborny,2016).Theresearchdesigninvolveddevelopment,piloting,andrefinementofahigh-frequencyjobmatchingservicethatlistsjobsanddeli

32、versinformationtorespondentsaboutthemthroughtextmessageandacallcenter.JobTalashallowsustopreciselyobserveeachstepofjobsearchactivityonthesupplyanddemandside(FieldandVybornyj2022;Subramanian,2021;Fieldetal.,2023).Theplatformworksbymatchingeachjobseekertoopenvacanciesbasedonwhethertheysatisfyminimalcr

33、iteriasetbythefirmforthevacancy,andoccupationalpreferencessetbythejobseeker.Theplatformsendsinformationtothejobseekeraboutallthevacanciesthatmeetallcriteria(werefertosuchapairingthatsatisfiesallcriteriaasa“match),andthejobseekercandecidewhethertoapplytoeachone.Thus,theplatformgenerateshigh-frequency

34、,detaileddataonboththesupplyanddemandsidesofthelabormarketformillionsofpotentialjobmatchesbetweenfirmandrespondent.Theplatformdoesnothaveasearchfunction,whichmeansthatweobservethefullsetofvacanciesthatthejobseekersees,andthefullsetofcandidatessenttothefirm.Becauseweprovideinformationtobothsides,weob

35、serveexactlythesameinformationasbothsidesofthemarketuptothepointofaninterview.Therepresentativerecruitmentofbothjobseekersandfirms(rareintheliterature(Kurekovaetal.,2015)andtherichadministrativedataobservedontheplatformprovideusuniqueleveragetohelppinpointthesupply-sideversusdemand-sideconstraintsto

36、women,sversusmensjobsearch.Thefourthchallengeinquantifyingsupplyversusdemandsideconstraintsisthateveniftheinitialsampleofjobseekersandfirmsisrepresentative,whenobservingdownstreamoutcomesinthejobsearchprocesssuchasinterviewsandhires,selectionproblemsariseagain,becausemaleandfemalecandidateswhochoose

37、toapplyforagivenvacancymaydiffersystematicallyfromeachotherandfromnon-applicants.Toaddressthischallenge,wecombinetheadministrativedatawithanincentivizedresumerating(IRR)experimentwhichweconductedwithfirmsintheJobTalashsample(Kessleretal.,2019).Weshowemployersontheplatformaseriesofpairsofcurriculumvi

38、tae(CV)andineachpairasktherespondenttoselecttheonethattheywouldbemostlikelytohire,withtheincentivethatthiscouldhelpinformtheapplicantpoolsenttothemthroughtheJobTaIashplatform.CVsforthisexercisewereconstructedusingtheactualjobapplicantdatafromtheJobTalashpool,makingthemarealisticrepresentationoftheca

39、ndidatesthefirmmightseeontheplatform;werandomlyvariedthegenderoftheapplicantontheCVtoidentifyfirmpreferencesovergender,holdingconstantpotentialConfounderssuchasdifferencesinlevelsofeducationandexperiencebetweenmenandwomeninthepool,anddifferentialselectionintoapplication.Ourfirstkeyfindingisthatgende

40、rgapsinemploymentaregreaterinmagnitudethangendergapsinsearch.ThiscomplementstheliteratureshowingthatwomenslaborsupplyiselastictotheintroductionofgoodjobsevenintheSouthAsiancontext,whereoverallfemaleemploymentratesarelow(Jensen,2012;HeathandMobarak,2015).Womenare89%lesslikelythanmentobeworkingatbasel

41、ine;however,theyareonly53%lesslikelytocompletesign-upfortheJobTalashplatform,aninvestmentoftimeinthetelephonebasedsign-upprocesswhichindicateswillingnesstosearch.Thegendergapinbothworkandwillingnesstosearchnarrowsaseducationlevelsrise.Athighereducationlevels,thegendergapincompletingthesignupprocessf

42、allsby65%.Thesefindingssuggestthatmanywomen,particularlyeducatedwomen,arelatentworkers*pointingtokeyconstraintsonthelabordemandside.Oursecondkeyfindingisthatforlesseducatedjobseekers,firmgendercriteria,anentirelydemand-sideconstraint,aremorebindingforwomenthanmen,andarealsoalargerconstraintthansuppl

43、y-sidedecisions.Womeninoursettingare53%lesslikelythanmentosatisfytheexplicitgenderrequirementsforanygivenvacancy.Thesepatternspersistevenwhenwerestricttovacancieswheretheindividualmettheeducationandexperiencecriteria,andexpressedinterestintheoccupation:demand-sidecriteriaarethebindingconstraintonopp

44、ortunitiesavailabletowomen.Infact,inthesetofvacancieswhereindividualssatisfiedallbasiccriteriaandwereeligibletoapply,womenapplyatahigherratethanmen,overall.Ourthirdkeyfindingisthatthedemandsidegapinquantityofjobopportunitiessubstantiallyclosesaseducationlevelsrise,whileonthesupplysidewomenbecomemore

45、selective.Thegendergapinsatisfyingthegendercriteriaforapositionshrinksby70%fortheminorityofwomenwithsecondaryeducationandeffectivelydisappearsforthethirdofwomenwithatertiaryeducation.WedocumentthisthroughboththeadministrativedataandtheIRRexperiment.Wefindthatfirms*gendercriteriaandtheeducationalrequ

46、irementsofthejobaremirrored;vacancieswith,4bluecollar*1characteristicssuchasmanuallaborandlongerandlateworkhoursaremorelikelytoexcludewomenandmorecommonamongjobswithloweducationrequirements,evenconditionalonindustryandoccupationfixedeffects.Additionally,firmsgendercriteriaandtheeducationleveltheysee

47、ktohirereflectexistinginfrastructureatthefirm:firmsthathaverestroomsoraseparateprayerspaceforwomenarebothmorelikelytobewillingtohirewomenandmorelikelytobehiringatahigheducationlevel.Thisconnectstoabroaderliteraturepointingtotheroleofon-wagecharacteristicsoffirmsandvacanciesingendergapsinthelabormark

48、et(MasandPallais,2017;Floryetal.,2015;FieldandVyborny,2022;GoldinandKatz,2016;ChiplunkarandGoldberg,2021;Milleretal.,2022).Strikingly,amongthosewithatertiaryeducation,womenaremoreselectivethanmenintheirjobsearch.Atthishigheducationlevel,womenareslightlylesslikelythanmentohaveselectedtheoccupationofa

49、givenvacancy,andareslightlylesslikelytoapplytoavacancy.Butthisislikelydrivenbydifferencesinthequalityofvacanciesbygender;indeed,wefindthatamongthosewithatertiaryeducation,womenaremorelikelythanmentoqualifyforthevacanciesatthelowestquintileofthesalarydistribution.Weadvancetheliteratureintwokeyways.First,ournovelcombinationofmatcheddataallowustoseparatelyquantifytheroleofdemandandsupplysidedecisionsinthegendergapinjobopportunities.Sec

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