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    WORKING PAPER

    The Environmental Dimensions of Emigrationfrom Rural Mexico

    Lori M. HunterSheena MurrayFernando Riosmena

    March 2011

    Population Program POP2011-03_____________________________________________________________________________

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    TheEnvironmentalDimensionsofEmigrationfromRuralMexico

    LoriM.HunterDepartmentofSociology

    CUPopulationCenter,InstituteofBehavioralScience,UniversityofColoradoatBoulder

    SheenaMurrayDepartmentofEconomics

    CUPopulationCenter,InstituteofBehavioralScience,UniversityofColoradoatBoulder

    FernandoRiosmenaDepartmentofGeography

    CUPopulationCenter,InstituteofBehavioralScience,UniversityofColoradoatBoulder

    Donotcite.Ifinterestedinadditionalinformationonthestatusofthisresearch,

    [email protected].

    Preliminarymanuscriptpreparedforpresentationatthe2011meetingofthePopulation AssociationofAmerica,WashingtonDC.

    Acknowledgements: PreliminarysupportforthisprojectprovidedbytheCenterfor

    EnvironmentandPopulation(CEP)throughtheirSummerFellowshipProgram. Theworkhas

    alsobenefitedfromtheNICHDfundedUniversityofColoradoPopulationCenter(grantR21

    HD51146)forresearch,administrative,andcomputingsupport.Thecontentissolelythe

    responsibilityoftheauthorsanddoesnotnecessarilyrepresenttheofficialviewsofCEP,NIH,

    orNICHD.

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    TheEnvironmentalDimensionsofEmigrationfromRuralMexicoLoriM.Hunter,SheenaMurrayandFernandoRiosmena

    UniversityofColoradoatBoulder

    Abstract: Inmanydevelopingcountries,naturalresourcedependencyisadaytodayrealityformanyruralhouseholds.Assuch,changesinweatherandclimatepatternsholdtremendous

    potentialtoimpactlivelihoods.Whenlivelihoodoptionsareconstrainedduetoshiftsin

    environmentalconditions,migrationbecomesasignificant,adaptivelivelihoodstrategy

    reducinghouseholdvulnerability.Inthisproject,weofferapreliminaryanswertothequestion:

    IsemigrationfromruralMexicototheU.S.associatedwithrecentpatternsofprecipitation,net

    ofothersocioeconomicfactorsshapingmigrationpatterns?UsingdatafromtheMexican

    MigrationProject(MMP),wemodelU.S.emigrationfromruralMexicancommunitiesasrelated

    tocommunity,householdandenvironmentalfactors.Wefindthathouseholdssubjectedto

    droughtconditionsarefarmorelikelytosendamigrantascomparedtothosesubjectedtowet

    conditions.Theresultshaveimportantimplicationsforpolicyandprogrammaticresponseto

    currentmigrationpressuresemphasizingdiversificationofruralMexicanlivelihoodsintheface

    ofcontemporaryclimatechange.

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    TheEnvironmentalDimensionsofEmigrationfromRuralMexicoLoriM.Hunter,SheenaMurrayandFernandoRiosmena

    UniversityofColoradoatBoulder

    Public,policyandacademicrealmshavebeenpayingincreasingattentiontothepotential

    forenvironmentalchangetoalterpatternsofhumanmigration.Evenso,littlepeerreviewed

    scholarshipexistsontheconnection.Thisprojectcontributesempiricallywithfocuson

    internationalmigrationfromruralMexico,bothasettingandsocialprocessofconsiderable

    policyrelevance.

    AfocusonthepotentialforenvironmentalpushfactorstoshapeMexicanmigrationis

    especiallytimelynotonlybecauseofcontemporaryclimatechangebutalsobecauseof

    heightenedattentiontotrendsinU.S.immigration.TheUnitedStateshad39millionforeign

    bornresidentsin2009thehighestproportionofforeignborninanynation(Martinand

    Midgley2010).Mexicocontinuestobealeadingsourceofbothauthorizedandunauthorized

    immigrationtotheUnitedStates(Hoefer,RytinaandCampbell2007);About30percentofU.S.

    legalimmigrants,andhalfoftheunauthorizedforeigners,arefromMexico(MartinandMidgley

    2006).

    Althoughsubstantialresearchhasexaminedthesocial,economic,andpolicydriversof

    MexicanmigrationtotheU.S.(e.g.Cohen2004;Durandetal.1996;Kanaiaupuni2000;

    HernandezLeon2008;LindstromandLauster2001;Masseyetal.1987;Massey,Goldring,and

    Durand1994;MasseyandEspinosa1997;Masseyetal.2002;MasseyandRiosmena2010;

    Riosmena2009;Rosas2008),farlessisknownabouttheenvironmentalpushfactorsrelated

    toMexicoU.S.emigration(Nevins2007);Toourknowledge,theonlysuchpublishedwork

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    revealsintriguingstatelevelassociationsassociationsbetweenMexicanoutmigrationand

    declinesincropyields(Fengetal.2010).Webelievetheprojectpresentedhere,atthe

    householdlevel,istheonlyefforttodatemodelinginternationaloutmigrationfromrural

    Mexicoasrelatedtoenvironmentalfactorsatgeographicscalesmoreprecisethanthestate.

    Background

    Thisprojecttakesplaceatthenexusoftwoliteratures:naturalresourcesandrurallivelihoods,

    combinedwithmigrationasanadaptivelivelihoodstrategy,particularlyamongvulnerable

    households. Theseliteraturesarebrieflyreviewedbelow,withspecificreferencetothe

    Mexicansettingasavailablewithinexistingwork.

    Rurallivelihoods,withfocusonnaturalresources:WeusetheconceptualframeworkofRuralLivelihoods(IFAD2010)whichhasbeenusedinawidevarietyofanalyticalendeavors

    includingexplorationofhealthbehaviors(Rugalema2000),foodsecurity(Bank2005)and

    householddiversificationstrategies(Yaro2006).Theframeworkclassifiesvariouscapital

    assetsthatshapelivelihoodoptions,includinghumancapital(e.g.,labor),financialcapital

    (e.g.,savings),physicalcapital(e.g.,automobiles),socialcapital(e.g.,networks),andnatural

    capital(e.g.,wildfoods).Therelativeavailabilityofvariousassetsisshapedbyindividualand

    householdactionsaswellasbroadersocioeconomicpoliticalstructuresandprocesses

    (Bebbington1999).Inturn,availabilityshapeslivelihoodstrategieswhichmayincludehuman

    capitaluse(e.g.,labormigration,seeCollinsonetal.2006a,2006bornaturalcapitaluse(e.g.,

    makingresourcebasedcraftsformarket(Pereira,ShackletonandShackleton2006)).Ingeneral,

    thelivelihoodsapproachhasprovenavaluabletoolinhighlightingthediversityanddynamism

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    ofthechoicesandactivitiesinwhichruralhouseholdsengagetomeethouseholdneeds

    (Wintersetal.2002).

    Focusingonnaturalcapital,inruralregionsoftheworldslessdevelopednations,proximate

    naturalresources(e.g.,land,water,wildfoods)areoftenessentialinmeetingbasicliving

    requirements(e.g.Nunan2010).Assuch,environmentalchangehasimmediateanddirect

    impactsonthehealthandwellbeingofmillionsofhouseholds(KoziellandSaunders2001).

    InruralMexicospecifically,naturalcapitalintheformoflandandwaterareespecially

    centraltolivelihoods.Withafocusonfourcarefullyselectedcasestudycommunities,Wiggins

    etal.(2002)detailthediversityofruralMexicanslivelihoods.Intheirstudy,households

    typicallyhadfivesourcesofincomeandthegreatmajorityofhouseholdshadaccesstoplotsof

    land. Fully78%farmed,predominantlymaizeandbeans.Yet,althoughfarmingwasthemost

    frequentsourceofincome,itcontributedinmostcasesonlyarelativelysmallfractionof

    householdincomes(onaverage,14percent).Burnstein(2007)alsonotesthatcorn,in

    particular,continuestobe amainstayofMexicanrurallivelihoods,anditsproductionsustains

    some15millionofMexicos103millionresidents.Overall,althoughfarmingisnotthemain

    activityforsmallholdersinruralMexico,itisacentralcomponentofthediversificationof

    livelihoods(deJanvryandSadoulet2001;Wigginsetal.2002).Inthisway,livelihoodsare

    vulnerabletoclimaticvariabilitythatmayimpactagriculturalproductivity(Eakin2005).

    KeytoexaminationofnaturalcapitalwithinMexicoisunderstandingofejidos rural

    communitieswhichcollectivelypossessrightstolandandwhoseresidentmembers

    (ejidatarios)areentitledtoworkaplotoftheirown(Wigginsetal.2002).Ejidoswerecreated

    throughlandtransfersstartinginthe1930s.Thoughmarketliberalizationreformsduringthe

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    1990sallowedejidatariostoattainprivatetitlesofandthushavethecapacitytoselltheirlands,

    veryfewhavesold(Barnes2009). Ofparticularrelevancetothepresentproject,itisestimated

    thattheejidosectorcontainsapproximately60%oftheruralpopulation(deJanvryand

    Sadoulet2001).Recentworksuggeststhatcontemporaryeffortstoprovideejidohouseholds

    withacertificateoflandownershipareassociatedwithanincreaseinemigrationtotheU.S.,

    therebyinferringthatmoresecureaccesstothisformofnaturalcapitalprovidesafoundation

    fromwhichtoengageintherelativelyexpensivelivelihooddiversificationstrategyof

    internationalmigration(Valsecchi2010). Assuch,ourmodelingstrategyincludesland

    ownershipvariablesbothathouseholdandcommunitylevels.

    Winters,DavisandCorral(2002)alsooutlinelivelihoodframeworksinruralMexico,

    characterizingthediversityoflivelihoodactivitiesalthoughthecentralityofagricultureand

    naturalcapitalremains.InWintersetal.s(2002)examinationofanationallyrepresentative

    sampleofMexicanejidohouseholds,fully93.7%participatedincropproductionand

    agriculturalactivitiesasawhole(crops,livestockandagriculturalemployment)madeupover

    half(55%)oftotalruralhouseholdincome.Ofcourse,therearedistinctlivelihoodstrategies

    dependingonwhetherruralMexicanhouseholdshaveaccesstoirrigatedorrainfedland.

    Yetotherforcesbeyondthehouseholdclearlyalsoshapelivelihoodstrategies. Wintersand

    colleagues(2002:141)aptlynotethatlivelihooddecisionmakingisconditionedonthecontext

    inwhichthehouseholdoperatesinfluencedthroughnaturalforces,markets,stateactivity

    andsocietalinstitutions.Inthisway,environmentalchangeactsinconcertwithpoliticaland

    economicforcestoshapelivelihoodstrategiesand,forMexicossmallholderfarmers,recent

    workhasdocumentedthenegativeimplicationsofthenationsglobaleconomicintegration

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    (Eakin2005).Afterdecadesofpublicinvestmentandsupportiveagriculturalpoliciesspurring

    agriculturalgrowth,neoliberalizationoftheagriculturalsectorandfoodpolicyduringthe

    Salinasadministration,19881994,broughtdramaticchangestoruralMexico.Today,Mexican

    povertyhasfurtherconcentratedinthecountryside,particularlyintheSouth(e.g.Hanson

    2003;Nevins2007;Polaski2004;Zepedaetal.2009).Informedbyunderstandingofrecent

    politicaleconomicconditionsinMexico,tocontrolforbroader,changingmacroconditionsnot

    capturedbyourcommunitySESmeasures,weincludebothstateandyearfixedeffectsinthe

    modelspresentedbelow.

    Rurallivelihoodvulnerabilityandadaptation,withfocusonmigration: ApplicationoftheRuralLivelihoodsframeworktoMexicanlivelihoodsandclimateisfurtherinformedbysocial

    scienceresearchonvulnerabilityandadaptation.Vulnerabilityisdefinedasthedegreeto

    whichasystem,subsystem,orasystemcomponentislikelytoexperienceharmdueto

    exposuretoahazardeitherasaperturbationorstress/stressor(Turneretal.2003).As

    explainedbyLeichenkoandOBrien(2002:2),withinthecontextofclimatestudies,

    conceptualizationofvulnerabilityhasmostlyfocusedonmarginality,susceptibility,adaptability,

    fragility,andrisk.Usingthesefactors,vulnerabilitymappinghelpsidentifyregionsparticularly

    vulnerabletoclimateshifts(FussellandKlein2006;Hahn,RiedererandFoster2009;Ionescuet

    al.2009;Polsky,NeffandYarnaletal.2007).Highlevelsofresourcedependencecontributeto

    climatevulnerability(ThomasandTwyman2006)andregionsinwhichresidentsdependon

    rainfedagriculture(suchasmostofourstudysites)areespeciallyvulnerable(ReidandVogel

    2006).

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    Livelihooddiversificationistheprocessbywhichhouseholdsreducevulnerabilityasthey

    seektoensurewellbeing(Ellis2000).Suchadaptationmayoccurinresponsetoclimate

    vulnerability,withadaptationdefinedasadjustmentstoasysteminresponsetoactualor

    expectedclimatestimuli,theireffects,ortheirimpacts(LeichenkoandOBrien2006).In

    consideringvulnerabilityandadaptivepotential,Adger,PaavolaandHuq(2006:2)comment

    theworldschangingclimateandourresponsestoitthreatentoexacerbatepreciselythose

    trendsandpressuresthatcausepresentinsecuritiesandthatarelikelytoleadtoincreased

    insecurityinthefuture.Theold,young,poor,andthosedependentonclimatesensitive

    resources,includingalloftheworldsfarmersandfishers,areatgreatestrisk.

    Migrationisaparticularadaptationstrategyusedbyhouseholdsinthefaceof

    environmentalstrain(Bilsborrow1992;McLemanandHunter2010;McLemanandSmit2005;

    NjockandWestlund2010;Nunan2010).Muchoftheexistingempiricalresearchonmigration,

    livelihoodsandshiftsinnaturalcapitalfocusesonlandavailabilityand/orlandusedecisions,

    andissituatedinAsia,andCentral/SouthAmerica(e.g.,Ayuwat1993;Snegstrom2009).Results

    suggestwhenfacedwithalackoflivelihoodoptions,oftenduetocumulativeprocessesof

    environmentaldegradation(Zweifler,GoldandThomas1994),householdsmaystrategically

    diversifywithsomehouseholdmembersmigratingtoseekopportunityelsewhere(Bilsborrow

    2002;Snegstrom2009;McLemanandHunter2010).Inthisway,changesinproximatenatural

    capitalshapehouseholddecisionsaboutuseofhumancapital.

    Fouradditionalstudiesdeservemention.Arecentone,undertakeninNepal,provides

    evidencethatenvironmentalfactorsplayaroleinmigration,particularlyshortdistancemoves.

    (Massey,AxinnandGhimire2010).Another,undertakeninEthiopia,evaluateshistorical

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    experiencegainedfromdroughtinducedmigration,findingthatfamilieswithmoresurvival

    strategiestendedtoresistdistressmigrationlonger(MezeHausken2000:382).InBurkinaFaso,

    Henryandcolleagues(Henry,SchoumakerandBeauchemin2004)demonstratethatresidents

    ofdrierregionsaremorelikelytoengageinbothtemporaryandpermanentmigrationsto

    otherruralareas,ascomparedtoresidentsofhighprecipitationregions.Findley(1994)

    exploredthemigratoryimplicationsofMalidroughtandfoundthattheseveredroughtof1983

    1985wasassociatedwithadramaticincreaseinmigrationofwomenandchildren,andalsoan

    increaseinshorttermcyclicalmigration.

    Withtheaboveworkasafoundation,aspateofnewresearchhasrecentlyemergedonthe

    migrationenvironmentassociation.Overwhelmingly,therecentadditionsprovideevidenceof

    lackof,andvariabilityin,naturalcapitalactingasapushfactorinoutmigration,inconcert

    withotherinfluences. Asanexample,bringingthelivelihoodsframeworktoruralmigration

    environmentissuesinChina,Qin(2010)findsthatruraloutmigrationisastrategythatlowers

    dependenceonnaturalcapital,specificallyagricultureandotherproximatenaturalresources

    usedforsubsistence. Lowernaturalcapitalintheformofsmallerfishcatchesintensifies

    livelihoodvulnerabilityinEastAfrica,resultinginthemigrationoffisherfolk(Njockand

    Westlund2010;Nunan2010).

    BringingourattentiontoMexico,Eakin(2005)arguesthatunderstandingfarmersrangeof

    livelihoodchoices,andlimitstotheiradaptivecapacity,isimportantinunderstandingrural

    vulnerabilitiestoclimatechange.Indeed,environmentaltrendsclearlyshapehouseholdcoping

    capacitysinceagriculturalyieldsareimpactedbyclimatefactors(Luersetal.2003).Related,

    researchhasshownthatofffarmemploymentandmigrationappeartostabilizehousehold

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    livelihoodsthroughdiversificationandreducedenvironmentalreliance(DeJanvryandSadoulet

    2001;Wigginsetal.2002).Suchlivelihooddiversificationisalsoimportanttoinsureagainst

    incomerisksarisingfromcroppricefluctuations(Masseyetal.1993;StarkandBloom1985).

    MigrationaslivelihooddiversificationinMexico,particularlyinlightofenvironmental

    change,isalsosuggestedbyrecentlypublishedworkbySaldaaZorrillaandSandberg(2009)as

    wellasbyFengetal(2010).Usingdatafromthe2,443municipalitiesofMexico,Saldaa

    ZorrillaandSandbergseconometricanalysesrevealhigheremigrationratesfromMexican

    municipalitiesmorefrequentlyaffectedbynaturaldisastersandwithrelativelyhigher

    impoverishmentlevels.Operatingatthestatelevel,Fengetal.(2010)alsoidentifyan

    environmentalpushwithintriguingstatelevelassociationsbetweendeclinesincropyields

    andU.S.boundmigration.

    Overall,existingscienceinseveralarenas naturalresources,livelihoods,vulnerabilityand

    migrationasadaptation formsanimportantfoundationforbringingexaminationof

    migrationenvironmentassociationstoruralMexico.Suchisespeciallythecasegiventhe

    importantsocial,economicandpoliticalaspectsofMexicanmigrationtotheU.S.,asreviewed

    next.

    Mexicomigrationpatternsandprocesses: MexicanmigrationtotheU.S.hasalonghistory.Sustained,massivemovementoflabormigrantsdatesbacktorecruitmenteffortsby

    U.S.employersintheearly20

    th

    Century(Gamio1930;Foerster1925;Cardoso1980).Migration

    streamsplummetedduringtheGreatDepression(BalderramaandRodriguez2006;Hoffman

    1924)butemergedagainduetoabinationallaboraccordwithMexico,theBraceroProgram,

    initiatedin1942(Calavita1992).WhiletheBraceroProgramwasdiscontinuedin1964aspart

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    ofbroadercivilrightsandimmigrationreform,immigrationfromMexicocontinued,both

    legallyandundocumented,inasomewhatcircularfashion(Masseyetal.2002).Considerable

    increasesinmigrationstreamsoccurredinthe1990sandformostofthefirstdecadeofthe21st

    Century(MartinandMidgley2010;PasselandCohn2009)asemigrationfromMexicoincreased

    (Beanetal.2001;HillandWong2005)andreturnmigrationratesplummeted(Masseyetal.

    2002;Riosmena2004).

    Historically,muchoftheMexicoU.S.migrationflowshascomefromruralareasinCentral

    WesternMexico(Durandetal.2001;DurandandMassey2003).However,sincethe1980s,

    emigrationtotheU.S.fromlesstraditionalsendingregionsinruralSouthCentraland

    SoutheasternMexicohasincreasedconsiderably(especiallyinthelast15years,seeDurandand

    Massey2003)helpingfueltherecentsurgeoutofruralareasand,inparticular,ofless

    traditionalsendingcommunitiesinSouthernMexico(RiosmenaandMasseyforthcoming;

    RiosmenaandZenteno2010).

    RuralMexicanshave,ofcourse,alsomigratedtocitieswithinMexico(Garza2003;Lozano

    Ascencioetal.1999)andsomechangesintheseprocessesarealsoofimportancetothe

    presentproject.Ruralurbanflows,oncemainlydestinedforMexicoCity,Guadalajara,and

    Monterrey,havebeenincreasinglydirectedtowardbordercitiessincethe1980s(Lozano

    Ascencioetal.1999).Migrationtonortherncitiesisfueled,inlargepart,byemployment

    opportunitiesinexportprocessing(maquiladora)

    firms.Still,internalmigrantsarealsomore

    likelytoultimatelyemigratetotheU.S.ascomparedtolongerterm(nonmigrant)northern

    residents(Fussell2004;LozanoAscencioetal.1999).Thispatternsuggestsatleastpartofthe

    internalmigrantflowfromruralareasmayeventuallyyieldU.Sboundmigration.

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    Asbrieflynotedabove,explanationsforthetransformationinthegeographyofrural

    Mexicanmigrationareassociatedwiththedeepeconomicrestructuringof,andshocksto,the

    Mexicanpoliticaleconomy(FernandezKellyandMassey2007;Lustig1990;Masseyetal.2002;

    Nevins2007).Theseshockshavedisproportionatelyaffectedlivelihoodsinruralareasandin

    theSouthinparticular.Forinstance,considertheresultsofastudyoftheMexicaneconomy

    sincetheenactmentofNAFTA.Zepedaetal.(2009)pointoutthatthemanufacturingsectorhas

    gainedintermsofexports,productivityincreases,and,toalesserextent,jobgrowth.Still,

    primarysectoremploymenthassufferedthemostlosses(forsimilarviews,seeHanson2003;

    Polaski2004).Ofcourse,especiallyimportantfortheresearchoutlinedhere,manyrural

    regionsofMexicoremaindependentonagricultureforsubsistenceand/orasacomponentofa

    broaderlivelihoodstrategy(DeJanvryandSadoulet2001).

    Asnoted,recentlypublishedresearchbySaldaaZorillaandSandberg(2009)andFenget

    al.(2010)suggestintriguingmunicipal andstatelevelassociationsbetweenoutmigrationfrom

    ruralMexicoandenvironmentalpushfactors(namelynaturaldisastersanddecliningcrop

    yields,respectively).Yet,municipal andstatelevelanalysesdonotallowforadequatecontrol

    ofthemyriadhouseholdlevelfactorsshapingmigrationdecisionmaking(e.g.Hondagneu

    Sotelo1994;Lindstrom1996;Massey,Goldring,andDurand1994;MasseyandEspinosa1997;

    StarkandBloom1985).Therefore,whatremainsmissingfromtheresearchonMexican

    migrationisamorepreciseexaminationofthepotentialforenvironmentalfactorstobe

    includedinthesuiteofmigrationdrivers. Theworkpresentedhereoperatesatfinerscales,

    mostnotablythehouseholdandcommunitylevelsgiventherelevanceoftheformerasa

    decisionunit(Masseyetal.1993)andofthelatterintermsofsocioeconomicandnetwork

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    processesassociatedwithmigrationdecisions(MasseyandEspinosa1997;Massey,Goldring

    andDurand1994).MakinguseoftheRuralLivelihoodsframework,weincludenatural

    capitalamongthemoretypicalpredictorsofmigrationhuman,financial,physical,andsocial

    capitals.GiventhepublicandpolicyattentiontobothclimatechangeandMexicanmigration,

    bringingtheenvironmentexplicitlyintohouseholdlevelanalysesofmigrationinthissettingis

    faroverdue. Here,weinvestigatethequestion: IsemigrationfromruralMexicoassociated

    withrecentpatternsofprecipitation,netofothersocioeconomicandpoliticalfactorsshaping

    emigrationpatterns?

    DataWeusedatafromtheMexicanMigrationProject(MMP),abinationalresearchinitiativebased

    atPrincetonUniversity(USA)andtheUniversityofGuadalajara(MX). Everyyearsince1987,

    theMMPselectsbetween4and6Mexicancommunitiesandinterviewsarandomsampleof

    approximately200households.TheMMPquestionnairecollectsbasicsociodemographicand

    retrospectivemigrationquestionsaboutallmembersofthehouseholdatthetimeofthe

    survey.Dataarealsocollectedonallchildrenofthehouseholdheadregardlessoftheirplaceof

    residence.Amongthesequestions,respondentsreportthedatesandduration(ifapplicable)of

    thefirstandlastU.S.tripforallmembersofthehousehold.Ourdependentvariablereflects

    emigrationtotheU.S.byanadulthouseholdmember(age15+)withintheyearpriortothe

    survey.Forthepurposesofthepresentproject,ouranalyticalfocusisoninternational

    migration,althoughweintendtoexpandupontheworkpresentedherewithadditional

    migrationstreams.Onemigration,aswouldbeanticipatedfromcontemporarytrends,

    outmigrationfromthesampledruralhouseholdsisacommonphenomenonwith

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    approximately21%sendingamigranttotheUSduringthethreeyearspriortotheyearof

    observation.

    Atthehouseholdlevel,weincludemeasuresreflectingaccesstothevarietyofcapitals

    outlinedintheRuralLivelihoodsframeworkandcentraltohouseholdstrategies.Theseinclude

    humancapital(e.g.,householdsizeandcomposition,educationallevels),financialcapital(e.g.,

    businessownership),physicalcapital(e.g.landandlivestockownership,possessionsi),and

    socialcapital(e.g.,headspriortriptotheUS). Astosamplecharacteristicsfortheselivelihood

    variables,humancapitalmeasuredatthehouseholdlevelshowsthathouseholdheadshave

    approximately5yearsofeducationand86%areemployedatthetimeofthesurvey. Overall,

    40%ofhouseholdmembersareconsideredtobeinthelaborforce.Onaverage,26%of

    householdsengageinfarming,22%ownabusinessandapproximately6%havebothafarmas

    wellasbusiness. Ofthosewhoownland,approximately16%havetheirprimaryholdingin

    eithercommunalorejidoland.Asnotedprior,householdswhoseprimarylandholdingisejido

    territoryaremoreconstrainedinlivelihoodoptionsduetoincompletepropertyrightswhich

    lessenstheirfinancialandcapitalassetsaswellasdecreasesthehouseholdsabilitytoaccess

    formalcreditmarketsrelativetohouseholdswithprivateproperty.

    Centraltothisprojectisinclusionofvariablesreflectingtheavailabilityofnaturalcapitalas

    shapedbyrecentrainfalllevelsandvariability. Specifically,ourpredictorvariablesofcentral

    interestrepresentrainfallpatternswithinthe3yearwindowpriortohouseholdobservation.

    Wefollowedtheleadofmuchclimatescienceincalculatingastatesaverageannualrainfall

    asoverahistoric30yearperiod,inourcase19601990.Ayearinwhichrainfallisonestandard

    deviationbelowthestateshistoricaverageisclassifiedasadroughtyear.Inversely,arainy

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    yearisoneinwhichcurrentrainfallisonestandarddeviationabovethestateshistorical

    average. Importantly,wefindsubstantialvariationinprecipitationregimeswithapproximately

    23%ofoursamplesubjectedtoadroughtintheirsurveyyear. Inaddition13%ofoursample

    hadadroughttheyearpriortothesurveywhile3.6%hadadroughtinbothyears.

    Approximately28%ofoursampleexperiencedarainyyearintheirsurveyyear,while23%had

    arainyyeartheyearpriortothesurveyand7%hadarainyyearinbothyears.

    Thehouseholdandindividualleveldataweresupplementedwithinformationcollectedby

    theMMPatthecommunityandmunicipallevels.Thesedataincludeinformationreflecting

    householdsaccesstolivelihooddiversificationoptions,suchasmanufacturingfacilities,in

    additiontoinformationonlargerscalesocialcapital,suchascommunitylevelmigration

    prevalence(indicatingstrengthofbroadermigrantnetworks). Indeed,thisformofsocial

    capitaliswelldevelopedinmostcommunities,particularlyformen;Malemigrationprevalence

    tendstobebetween2550%whilefemalemigrationprevalenceofmostcommunitiesis

    between025%(seealsoMassey,Goldring,andDurand1994;FussellandMassey2004).

    (Table1,DescriptiveStatistics,abouthere)

    Giventhefocusonrurallivelihoods,oursampleisrestrictedtononurbancommunities.

    Ouranalysesmakeuseofdatafrom24,132households,withatotalof117,040persons,in66

    nonurbancommunitieslocatedin12statessurveyedfromtheyearof1987to2005.Giventhat

    weincludestatelevelrainfalldata,onlystatesinwhichmorethanonecommunityhasbeen

    surveyedareincludedinoursample(seeAppendixA).Thisrestrictionwasnecessaryinorderto

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    ensurerepresentationandvariationinstatelevelvariablesovertimeandenablesustoutilize

    statefixedeffectsinourregressionspecification.

    MethodsWefirstsimplygraphaggregatedmigrationandprecipitationtrendsacrosstime,bystate,to

    descriptivelyexaminetheirassociation.Importantly,wepresentmigrationtrendsonlyafterthe

    highlevelsofmigrationmotivatedbythe1986ImmigrationandReformControlAct(IRCA),

    whichprovidedamnestytoapproximately2.3millionseasonalandundocumentedMexican

    workersintheUS.Forthesebivariateassociations,communitieswereclassifiedaccordingto

    themajoritypercentageofthestatesclimatedistributionprovidedbythe2003studyby,

    INEGI,NationalInstituteofStatistics,Geography,andInformatics. Overallcategoriesinclude:

    warmdry,warmhumid,milddry,mildhumidandcold(INEGIAnuariosEstadisticosdelos

    Estados,2004).Withinthesecategories,rainfalltrendswerecalculatedasrecentdeviation

    fromthelongertermhistoricmean.Migrationprevalencerepresentsthenumberofadults

    reported,retrospectivelyasleavingineachyear.

    Wethendevelopeventhistorymultivariatemodelsand,giventhatmigrationisrootedin

    householddecisionprocesses(e.g. HondagneuSotelo1994;StarkandBloom1985),wemodel

    emigrationdecisionsatthisscale.Specifically,wemodelthelikelihoodthatatleastone

    householdmemberemigratestotheU.S.inthethreeyearspriortothesurveyasafunctionof

    communitylevel,householdlevelandenvironmentalfactors.Weoptedforathreeyearrecall

    windowforthreereasons:1)tominimizepotentialmemorybiases(Auriat1991;Belli1998;

    SmithandThomas2003);2)toincreasetherepresentativenessoftheanalysesbyavoiding

    goingtoofarbackintime,whentheexperienceofpeopleemigratingoutofthecommunityis

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    lost;and3)tomaximizethenumberofcovariatesavailableformodelingpurposes. Clearly,

    timingrepresentsakeychallengeinworkingwiththeMMPdata.TheMMPisarepeatedcross

    sectionalsurveythatincludesretrospectivequestions.Wemadeuseofinformationfromthe

    retrospectivequestionstogenerateapseudopanelacrosstimeforeachhousehold.Evenso,

    manyofthecommunityandhouseholdcharacteristicsaremeasuredonlyatthetimeofthe

    survey. Thesestaticmeasurements,therefore,limitourabilitytoutilizeretrospective

    informationtoofarbackintimeduetotheobvioustemporalmismatch. Tobalancedataneeds

    withdataavailability,weusea3yearmigrationwindow,includingmigrationeventsonlyifthey

    occurredwithinthe3yearspriortosurveyobservation.Wefurtherworkedtominimize

    measurementerrorbyconvertingcommunitylevelmeasurestocategoricaldummyvariables.

    Asouroutcomeofinterestisatimedependentevent,whichhasaprobabilityof

    occurrencederivedfromacensoreddistribution,weemploydiscretetimeeventsurvival

    analysistechniques.FollowingAllison(1982;seealsoSingerandWillett2003),wedothisby

    fittingalogisticregressionmodelingthelikelihoodofU.S.migrationwhileconsideringthe

    exposuretotheriskofemigrationofeachunitofanalysis. Todoso,weestimatethemodelon

    asetofpseudoobservations,inthiscasehouseholdyearsofexposurebeforehousehold

    membersemigration. TocontrolforthechangingeconomicconditionsinMexicoweemploy

    bothstateandyearfixedeffectsandtoaddressthefactthathouseholddecisionsmaybe

    correlatedatacommunitylevel,weclusterourstandarderrorsaccordingly.

    ResultsFirst,Figures13presenttrendlinesforsampledMexicancommunitiesgroupedby

    environmentalregion. Asnotedabove,theregionsaremilddry, mildhumid,andwarmhumid,

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    asclassifiedwithintheMMPandbasedonthe2003studybyINEGI,NationalInstituteof

    StatisticsandGeography,whichprovidesclimatezonecategorizationforeachstateinMexico.

    Thefiguresclearlyhintatanassociationbetweenrainfallpatternsandemigration.Forexample,

    inmilddryregions(Figure1),therelativelywetyearof1994wasassociatedwithrelativelylow

    levelsofoutmigrationfromstudycommunitieswhilemigrationincreasedfollowingthe1999

    rainfalldeficit. Inwarmhumidregions(Figure2),weseeconsistentlyhighlevelsof

    precipitationaccompaniedbyasteadydeclineinemigration. Finally,inmildhumidregions

    (Figure3),bothemigrationandrainfallhaverecentlybeenexperiencingupwardtrends,but

    lookingcarefully,weseeafairlyconsistentnegativecorrelationwithlowprecipitationyears

    characterizedbyrelativelyhighemigration(see1988,1994),andviceversa(see1990,1991,

    and1995).

    (Figures13abouthere)

    Thefindingsfromourlogitmodelshedadditionallightandare,forthemostpart,consistent

    withmanyofthestudiesmentionedinthebackgroundsection.Humancapitalvariables

    suggesthouseholdswithmoreeducatedheadsarelesslikelytosendaninternationalmigrant,

    perhapsrelatedtoenhancedlocalopportunitiestodiversifylivelihoods.Household

    compositionisalsoassociatedwithemigration,withconsistentlypositivecoefficients

    suggestinglargerhouseholdsaremorelikelytosendmigrantsasmightbeanticipated. Suchis

    notthecase,however,inhouseholdswithrelativelymoredaughters,whicharelesslikelyto

    sendaninternationalmigranttotheUS. Onfinancialcapital,employmentofheadandbusiness

    ownershipdampenemigrationprobabilities,againlikelyduetoexistingdiversification

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    strategies. Assetsandlandownershiptendstoincreasehouseholdemigrationprobabilitywhile

    socialcapitalgainedthroughpriormigrationdoesindeedenhancethelikelihoodofemigration.

    Keytoouranalysesisinclusionofnaturalcapitalmeasuresandthemodelsyieldintriguing

    findings.Netoftheincorporatedhuman,physical,financialandsocialcapitalvariables,

    environmentalfactorsretainstatisticallysignificantpredictiveabilitywithregardtoemigration.

    Considerdrought.Netoftheotherincludedhouseholdandcommunitylevelcharacteristics,

    householdsexperiencingadroughtintheyearunderconsiderationhave29%higheroddsof

    sendinganinternationalmigranttotheU.S.thanahouseholdnotexperiencingadrought.1

    While,ifthehouseholdexperiencedarainfalldeficittheyearprior,oddsare39%greaterof

    internationalmigration.Yet,theassociationisevenmoresubstantialwhenconsideringa

    longertermrainfalldeficit. Householdsexperiencinga2yeardroughtareoverthreetimesas

    likelyasotherhouseholdstosendaninternationalmigranttotheU.S.

    Asmightbeanticipatedbasedonthedroughtresults,higherthanaveragerainfallisthen

    associatedwithlesseremigrationprobabilities. Householdswithrainfallabundanceintheyear

    underexamination,relativetohistoricaverages,have30%loweroddsofsendingan

    internationalmigrant and 40%loweroddsifhigherlevelsofrainfallcharacterizedtheyear

    prior. Ontheotherhand,theestimateoftheassociationbetweenemigrationprobabilitiesandhigherthanaveragerainfalloverbothyearsdidnotreachstatisticalsignificance.

    Ofcourse,itislogicaltoassumerainfallismostlikelytoimpacthouseholdswithresource

    dependentlivelihoodstrategies. Assuch,wealsoestimateemigrationasafunctionofrainfall

    interactedwithindicatorsforhouseholdswhoengageinfarming,workinagricultureorown

    1Thepercentageincreaseinoddsisobservedusingabaseofanoddsratioof1.

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    livestock. Here,somewhatcounterintuitiveresultsemerge. Twoyearrainfalldeficitsactually

    decreasetheoddsoffarminghouseholdssendinganinternationalmigrantby35%ascompared

    tononfarmhouseholdsata10%significancelevel.Similarly,theoddsofinternational

    migrationdeclineforhouseholdswherethehouseholdheadisworkinginagriculture,with40%

    loweroddsofsendinganinternationalmigrantcomparedtotheeffectofatwoyeardrought

    onhouseholdswithanonagriculturalhead.Itislikelythatthesepatternshintatincome

    constraints. Internationalmigrationisacostlyendeavorandperhapsunavailableto

    agriculturaldependenthouseholdintimesofparticularlivelihoodstress.

    Discussion&ConclusionHumanmigrationisacomplexsocialprocesscontingentonorigin anddestinationbased

    factorsofwhichclimatevariabilitymaybeanimportantone. Assuggestedbypriorworkin

    contextsasvariedasMali,EthiopiaandBurkinaFaso,theresearchpresentedherefindsan

    associationbetweenrainfallpatternsandemigrationfromruralMexicototheU.S.,withdry

    yearsgenerallyactingasamigrantpushandwetyearsinhibitingemigration.

    InruralMexico,asinruralregionsacrosstheworldslessdevelopednations,environmental

    changehasdirectimpactsonhealthandwellbeingofresidentssincenaturalresourcesare

    oftencentraltoincomegenerationactivitiesand/oressentialinmeetingbasicliving

    requirements(KoziellandSaunders2001).Giventhisresourcedependence,changesinweather

    andclimatepatternsholdtremendouspotentialtoimpactlivelihoodsand,inthefaceofa

    declineinlivelihoodoptions,migrationbecomesasignificantadaptivelivelihoodstrategy(e.g.

    Adger2006;McLemanandSmit2006).

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    CurrentclimatemodelsforLatinAmericaprojectmeanwarmingfrom1to6C,andanet

    increaseinthenumberofpeopleexperiencingwaterstresswithintheregion(IPCC2007).

    SpecifictoMexicosmostvaluableagriculturalexport,coffee,Gayetal.(2006)projectclimate

    changemayyielda34%reductioninproductioninVeracruz,potentiallymakingcoffeeno

    longeraneconomicallyviablelivelihoodstrategy(seealsoNevins2007;Zepedaetal.2009).

    ClearlyenvironmentalchangeholdsimportantpotentialtoimpactruralMexicanslivelihood

    strategies,andtherebyinfluencemigrationpatterns.Indeed,ourresultsfindaprominent

    associationbetweenemigrationfromruralMexicoandrecentpatternsofprecipitation,netof

    othersocioeconomicandpoliticalfactorsshapingmigrationpatterns.

    Thepreliminaryworkoutlinedherepresentsmanydirectionsforfutureresearchthrough

    expansionofbothsocialandenvironmentaldimensions.Onthesocialdimensions,weaimto

    disaggregatemigrationstreamsbothbydestination(toexamineinternalandinternational

    migration),whilealsoexploringdifferentmigrationoutcomesforMexicanmenandwomen.

    Ontheenvironmentaldimension,weaimtointegrateadditionalaspectsofenvironmental

    changeincludingtemperaturefluctuationsandshiftsinvegetationcoverage.Ofcourse,we

    couldalsoexplorethepullofdesirablenaturalattributes;WithintheU.S.,astatelevel

    associationexistsbetweenclimateandmigrationwithdesirableweatherattributes(warmer

    temperatures,lesshumidity)associatedwithpositivenetmigration(Postonetal.2009).In

    Ghana,regionswithgreateraccesstonaturalcapitalexperiencehigherlevelsofinmigration

    (VanderGesest,VrielingandDietz2010).

    Thepublic,policyandacademicrealmshaverecentlypaidincreasingattentiontothe

    potentialforenvironmentalchangetoalterpatternsofhumanmigration.Social,political,

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    economicandenvironmentalpressuresconvergeinruralMexicoregionswherethepresent

    studysuggestsreductionofproximatenaturalcapitalmayenhancethelikelihoodof

    householdstappingintomigrationslivelihoodpotential. Certainlysuchevidencesuggeststhat

    theenvironmentaldimensionsoflivelihoodstrategies,includingemigration,deserveadditional,

    focusedresearchattention.

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    MexicounderNAFTA."Pp.122:CarnegieEndowmentforInternationalPeace.INEGIAnuariosEstadisticosdelosEstados,2004bytheInstitutoNacionalDeEstadisticaYGeografia) See

    EnvironssupplementaldatasetmadeavailablebytheMMPforrawdata.

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    27

    .5

    .6

    .7

    .8

    .9

    1

    1990 1995 2000 2005year of observation

    Migrants Rainfall

    States in Mild Dry Region: Aguascalientes, Chihuahua, GuanajuatoSan Luis Potosi and Zacatecas

    Proportional Migrant and Rainfall Trends in Mild Dry Regions

    .2

    .4

    .6

    .8

    1

    1990 1995 2000 2005year of observation

    Migrants Rainfall

    States in Warm Humid Region: Colima, Guerrero, Jalisco, Michoacan,Oaxaca and Veracruz

    Proportional Migrant and Rainfall Trends in Warm Humid Regions

    Figure1

    Figure2

    Figure3

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    28

    Table1: MeansandStandardDeviationsof CommunityandHouseholdCovariatesVariable %/Mean Std.Dev

    CommunityLevelCharacteristics

    FemaleLaborForceParticipationbetween0 10% 26.70% 0.442

    FemaleLaborForceparticipationbetween10 20% 60.70% 0.488FemaleLaborForceparticipationbetween20 30% 12.60% 0.332

    ProportionofFemalesinManufacturingover50% 8.00% 0.271

    MaleAgriculturalworkParticipationover50% 48.70% 0.500

    FemaleMigrationPrevalence in1990between0 25% 86.50% 0.342

    FemaleMigrationPrevalence in1990between25 50% 13.50% 0.342

    MaleMigrationPrevalence in1990between25 50% 62.80% 0.483

    MaleMigrationPrevalence in1990between50 75% 22.70% 0.419

    MaleMigrationPrevalence in1990between75 100% 1.00% 0.099

    Household

    CharcteristicsDependentVariable: Householdsendsamigrant 20.60% 0.404

    HumanCapitalHouseholdsize 4.85 2.369

    PercentageofHHinLaborForce 39.70% 0.234

    Householdheademployed 85.50% 0.352

    Householdheadeducation 5.00 4.355

    FinancialCapital

    Householdhasbusiness 22.10% 0.415

    SocialCapital

    HouseholdheadnumberoftripstoUS 1.53 3.847

    PhyscialCapital

    Primarypropertyiseithercommunityorejidoland 15.70% 0.364

    NaturalCapital

    CurrentYearisaDroughtYear 23.30% 0.423

    CurrentYearisRainyYear 27.90% 0.449

    LastYearwasaDroughtYear 13.10% 0.338

    LastYearwasaRainyYear 22.60% 0.418

    TwoDroughtYearshaveOccurredinRow 3.60% 0.186

    TwoRainyYearshaveOccurredinaRow 6.80% 0.251

    RelianceonNaturalCapital

    Householdengagedinfarming 26.30% 0.440

    Householdhasbothfarmandbusiness 6.20% 0.241

    Householdownslivestock 28.00% 0.450

    Householdheadworksinagriculture 34.50% 0.476

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    29

    SE SE SE

    ommunityLevelCharacteristics

    ProportionofFemalesinManufacturing isover50% 0.666*** (0.204) 0.671*** (0.204) 0.673*** (0.204)

    MaleAgriculturalWorkParticipationisover50% 0. 454** ( 0.177) 0. 449** (0. 175) 0. 445** (0. 175)

    MaleMigrationPrevalence in1990wasbetween25 50% 0.571*** (0.159) 0.565*** (0.159) 0.558*** (0.160)

    ouseholdCharacteristics

    HumanCapital

    HeadofHouseEducation 0.0616*** (0.0107) 0.0599*** (0.0107) 0.0603*** (0.0107)

    AgeofHeadofHousehold 0.0133*** (0.00393) 0.0134*** ( 0.0039) 0.0135*** (0.00393)

    Spouse'sEducation 0.0498*** (0.0118) 0.0495*** (0.0118) 0.0491*** (0.0119)

    Lifecycle YoungChildren 1.327*** (0.194) 1.333*** (0.194) 1.332*** (0.194)

    Lifecycle YoungandTeenageChi ldre n 1.702*** ( 0.200) 1.710*** (0.202) 1.710*** ( 0.202)

    Lifecycle TeenageChildrenOnly 0.694** (0.310) 0.706** (0.311) 0.709** (0.311)

    Lifecycle AdultChildren 1.474*** (0.222) 1.482*** (0.224) 1.485*** (0.224)

    PercentageofDaughterstoHouseholdMembers 0.637*** (0.158) 0.639*** (0.159) 0.640*** (0.159)

    FinancialCapital

    TheHouseholdhasaBusiness 0.320*** (0.0834) 0.304*** (0.0792) 0.304*** (0.0793)PercentageoftheHouseholdthatisintheLaborForce 0.574*** (0.128) 0.574*** (0.128) 0.577*** (0.128)

    HouseholdHeadisemployed 0.225* (0.116) 0.264** (0.117) 0.262** (0.117)

    PhysicalCapital

    PrimaryPropertyiseitherCommunityorEjidoLand 0.365*** (0.126) 0.361*** (0.126) 0.366*** (0.127)

    PercentageofAmenitiesownedbyHousehold (outof11) 1.338*** (0.252) 1.353*** (0.251) 1.358*** (0.252)

    NumberoflivestockownedbyHH 0.115*** (0.0310) 0.117** (0.0459) 0.115** (0.0461)

    SocialCapital

    HouseholdHead NumberofTripstotheUS 0.205*** (0.0167) 0.205*** (0.0169) 0.205*** (0.0169)

    NaturalCapital

    CurrentYearisaDroughtYear 0.254** (0.128) 0.253** (0.128) 0.254** (0.128)

    CurrentYearisaRainyYear 0.361*** (0.139) 0.363*** (0.139) 0.363*** (0.139)LastYearwasaDroughtYear 0.329** (0.148) 0.330** (0.148) 0.332** (0.148)

    LastYearwasaRainyYear 0.500*** (0.133) 0.502*** (0.132) 0.502*** (0.132)

    AdroughthasOccurredTwoYearsinaRow 1. 228*** (0.464) 1. 224*** ( 0. 463) 1. 385*** ( 0. 472)

    ARainyyearhasOccurredTwoYearsinaRow 0.329 (0.235) 0.335 (0.235) 0.336 (0.234)

    RelianceonNaturalCapital

    HouseholdisEngagedinFarming 0.0986 0.0913 0.116 (0.0924) 0.113 (0.0930)

    HouseholdOwnsLivestock 0.0228 (0.114) 0.0283 (0.115)

    HouseholdheadworksinAgriculture 0.0876 (0.111) 0.106 (0.112)

    Interaction Farm&TwoYearDrought 0.444** (0.204)

    InteractionOwnsLivestock&TwoyearDrought 0.237 (0.545)

    InteractionHHHeadWorksinAg&TwoYearDrought 0.501** (0.250)

    Intercept 3.956*** (0.826) 3.939*** (0.815) 3.938*** (0.813)

    StateFixedEffects

    YearFixedEffects

    Community FemaleLaborForceParticipationControls

    CommunityFemaleMigrationPrevalencein1990QuartileCo

    CommunityMaleMigrationPrevalence in1990QuartileContr

    Spouse'sEducationandNumberofUStripsControls

    Observations

    *Allresultsgiveninlogodds

    Yes Yes

    Table2: Discrete TimelogitPredictingtheLikelihoodofaHouseholdSendingaMigrant1 2

    Yes Yes

    Yes Yes

    Yes Yes Yes

    24,132 24,132 24,132

    3

    Yes

    Yes

    Yes

    Yes

    Robuststandarderrorsinparentheses ***p

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    AppendixA1)

    iTheMMPincludesmeasuresof11amenities/possessionswithinstudyhouseholds:runningwater,

    electricity,sewage,astove,arefrigerator,awashingmachine,asewingmachine,aradio,atelevision, a

    stereoandatelephone.

    S tates , C ommunitites an d H H obs ervations in S am pleS tate C om m unitite s H H Ob servations P erce ntofS ample

    A g uasc a lientes 2 6 5 0 2.69

    C olim a 3 1 ,0 2 7 4.26

    C hihuahua 3 1 ,2 6 6 5.25G ua najua to 1 2 4 ,1 8 1 1 7.33

    G ue rrero 3 9 7 7 4.05

    J alis c o 1 1 3 ,6 1 3 1 4.97

    Mic hoac an 6 2 ,3 6 9 9.82

    O axac a 4 1 ,7 0 4 7.06

    P uebla 2 5 4 9 2.27

    S a n Luis P otos i 9 3 ,1 7 6 1 3.16

    V era c ruz 6 2 ,0 2 3 8.38

    Z ac a tec a s 5 2 ,5 9 7 1 0.76

    T otal 6 6 2 4 ,1 3 2 1 00