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FinanceandEconomicsDiscussionSeries
FederalReserveBoard,Washington,D.C.
ISSN1936-2854(Print)
ISSN2767-3898(Online)
UnemploymentInsuranceandMacro-Financial(In)Stability
YavuzArslan,AhmetDegerli,BulentGuler,GaziKabas,BurhanKuruscu
2024-087
Pleasecitethispaperas:
Arslan,Yavuz,AhmetDegerli,BulentGuler,GaziKabas,andBurhanKuruscu(2024).“UnemploymentInsuranceandMacro-Financial(In)Stability,”FinanceandEconomicsDis-cussionSeries2024-087.Washington:BoardofGovernorsoftheFederalReserveSystem,
/10.17016/FEDS.2024.087
.
NOTE:StafworkingpapersintheFinanceandEconomicsDiscussionSeries(FEDS)arepreliminarymaterialscirculatedtostimulatediscussionandcriticalcomment.TheanalysisandconclusionssetfortharethoseoftheauthorsanddonotindicateconcurrencebyothermembersoftheresearchstafortheBoardofGovernors.ReferencesinpublicationstotheFinanceandEconomicsDiscussionSeries(otherthanacknowledgement)shouldbeclearedwiththeauthor(s)toprotectthetentativecharacterofthesepapers.
UnemploymentInsuranceandMacro-Financial
(In)Stability*t
YavuzArslanAhmetDegerliBulentGulerGaziKabasBurhanKuruscu
Abstract
Weidentifyandstudytwomechanismsthatcanoverturnthestabilizingeffectsofunem-ploymentinsurance(UI)policies.First,householdsineconomieswithmoregenerousUIreducetheirprecautionarysavingsandincreasetheirmortgagedebt.Second,theshareofmortgages,especiallythosewithhigherloan-to-incomeratios,increasesonbankbalancesheets.Asaresult,bothbankandhouseholdbalancesheetsbecomemorevulnerabletoadverseshocks,whichdeepensrecessions.Wedemonstratetheimportanceofthesechannelsbyemployingaquantitativeheterogeneous-agentgeneralequilibriummodelandbyprovidingcounty-levelempiricalevidencefromtheU.S.housingandmortgagemarkets.
Keywords:Automaticstabilizers,unemploymentinsurance,householdandbankbalancesheets,housingmarket,mortgagedebt,foreclosures.
J.E.L.Classification:E21,E32,E44,E60,G20,G51
*WethankMichaelBoutros,WilliamLastrapes,MichalZator,andAndreiZlatefortheirvaluablediscussionsofourpaper.WealsothankMarcoBassetto,SatyajitChatterjee,OliverDeGroot,PabloD’Erasmo,BurcuEyigungor,AlexeyGorn,FatihGuvenen,LoukasKarabarbounis,IlleninKondo,AlisdairMcKay,MakotoNakajima,FabrizioPerri,VincenzoQuadrini,RicardoReis,JuanSanchez,PedroSilos,seminarparticipantsattheBankforInternationalSettlements,GhentUniversity,IndianaUniversity,LancasterUniversity,MinneapolisFed,PhillyFed,St.LouisFed,UniversityofZurich,UniversityofLiverpool,andparticipantsatvariousconferencesforusefulcommentsandsuggestions.KuruscuthankstheSocialSciencesandHumanitiesResearchCouncilofCanadaforfinancialsupport.TheauthorsacknowledgetheIndianaUniversityPervasiveTechnologyInstituteforprovidingcomputingresourcesthathavecontributedtotheresearchresultsreportedwithinthispaper.Arslan:UniversityofLiverpoolManagementSchool,yavuz.arslan@liverpool.ac.uk;Degerli:FederalReserveBoard,ahmet.degerli@;Guler:IndianaUniversity,bguler@;Kabas:TilburgUniversity,g.kabas@;Kuruscu:UniversityofToronto,burhan.kuruscu@utoronto.ca.TheviewsexpressedherearethoseoftheauthorsandnotnecessarilyreflectthoseoftheFederalReserveBoard.
tThisversion:September2024.
1
1Introduction
Automaticstabilizersaregovernmentpoliciesthatautomaticallyadjusttaxrates,andtransferpaymentstostabilizeincomeandconsumptionwithoutrequiringavotefromlegislators.Unemploymentinsurance(hereafterUI)isoneofthetextbookexamplesofautomaticstabilizers.ThepredominantviewisthatUIpoliciesstabilizeeconomicdownturnsbyreducingincomeriskandtransferringincometohouseholdswithahighmarginalpropensitytoconsume(MPC)
.1
Inthispaper,weidentifytwonovelmechanismsstrongenoughtooverturnthestabilizingeffectsofUI.First,duetothedeclineinleft-tailincomeriskasUIbecomesmoregenerous,householdsreducetheirprecautionarysavings(liquidassets)andtakeonmoremortgagedebt,leadingtohigherleverage.Second,thedeclineinhouseholds’left-tailincomeriskalsoreducestheirdefaultrisk,inducingbankstoofferloosercredittermsandincreasingtheshareofmortgages(especiallythosewithhigherloan-to-incomeratios)ontheirbalancesheets.Asaresult,bothhouseholdandbankbalancesheetsbecomemorevulnerabletoadverseshocks.Consequently,aneconomywithUI-inducedvulnerabilitiesinhouseholdandbankbalancesheetsmayexperiencedeepercontractionsinresponsetoadverseshocks,despitethecushioningeffectsofUIbenefits.WedemonstratetheimportanceofthesechannelsusingaquantitativegeneralequilibriummodelandempiricalevidencefromUShouseholdandcounty-leveldatafromhousingandmortgagemarkets.
Ourmodelcombines(i)households,withanoverlapping-generationsstructure,whofaceidiosyncraticincomeandunemploymentrisksunderincompletemarketsandmakehousingandmortgagedecisions;(ii)banksthatissueshort-termloanstofirmsandlong-termmortgagestohouseholds,andaresubjecttocapitalconstraints;(iii)firmsthatproduceoutputusingcapitalandlaborbutneedtofinanceaportionoftheirworkingcapitalthroughshort-termloansfrombanks;(iv)realestatecompaniesthatownapartofthehousingstock,whichtheyrenttothehouseholds;and(v)thegovernmentthatmanagestheUIpolicy.
Householdscandefaultontheirmortgagesinanyperiodthroughoutthelifeofthemortgage.Mortgagecontractsinternalizethedefaultprobabilityofhouseholds,henceeach
1See,forexample,
Brown
(1955),
Blinder
(1975),
McKayandReis
(2016),and
McKayandReis
(2021)
forearlierandmorerecentdiscussionsofthesemechanisms.
2
mortgageisindividual-specific,andborrowinglimitsendogenouslyariseduetolimitedcommitmentbyhouseholds.AnimplicationisthatahigherUIreduceshouseholds’defaultrisk,ceterisparibus,andallowsthemtoaccessbettercreditterms,leadingtoincreasedborrowinginthemortgagemarket.
Banksprovideshort-termrisk-freeloanstofirmsandlong-termdefaultablemortgagestohouseholds.Theyfundtheseloansthroughbankequityandshort-termborrowingatanexogenouslygiveninterestrate.Asiscommonintheliterature,weassumethatbankerscandefaultandkeepafractionoftheirassets
.2
Topreventsuchbehaviorinequilibrium,bankcreditorsconditiontheirfundingtobankequity.Therefore,bankcreditsupplydependsonbankequity.Consequently,anylossesinbankbalancesheetsleadbankstoreducecreditsupply,causinganincreaseintheequilibriumbanklendingrate.This,inturn,resultsinhigherborrowingcostsforhouseholdsandfirms.
WecalibratethesteadystateofthemodeltomatchUSdatamoments,mostimportantlythoseregardinghouseholdandbankbalancesheets,unemploymentriskbyearnings,andunemploymentduration.Wefirstanalyzethesteady-stateeffectsofUI:astheUIreplacementrateincreasesfrom20to60percent,themortgagedebt-to-GDPratioincreasesfrom76.4percentto82.6percent,anddownpayments(onaverage)declinefrom10.4percentto8.4percent,increasinghouseholdleverage.Moreover,householdsreducetheirfinancialassetsby3.3percent,whichincreasesthefractionofhand-to-mouthhouseholds.Inparallel,theshareofmortgagesamongbankassetsincreasesfrom45.7percentto47.7percent.
Ourmodelconfirmsthat,inthesteadystate,UIachievesitsintendedpurposeofhelpingtheunemployeddespitetheirhigherleverage.Specifically,theunemployedexperiencehigherconsumptionandlowerforeclosuresinmoregeneroussystemssincetheyreceivehigherUIpayments.However,theoppositeistruefortheemployedsincetheyaremoreleveragedbutdonotreceiveUIbenefits.Additionally,theemployedpayhighertaxestofundmoregenerousUI.ThisdifferentialeffectofUI(employedversusunemployed)iscrucialinunderstandingthedestabilizingeffectsofUIinourmodelinresponsetoaggregateshocks.
ToanalyzehowUIaffectstheeconomicdynamicsduringboomsandbusts,weintroducetwounanticipatedandpermanentshockstotheexogenousbankborrowingrateinthemodeleconomy.First,whiletheeconomyisintheinitialsteadystate(representingtheU.S.economy
2See
GertlerandKiyotaki
(2015)
.
3
priorto1997),aboomstartswiththebankfundingcostdecliningfrom1997until2006andisexpectedtostaylowthereafter.Second,thebustperiodstartsin2008,whenthebankborrowingrateunexpectedlyandpermanentlyrevertstoitsinitialsteady-statelevel
.3
Furthermore,toincorporateastabilizingroleforUI,weintroduceanadditionalunem-ploymentshockin2008thatdeclineslinearlyuntil2013—mimickingtheU.S.experiencearound2008.WedemonstrateinthepaperthatthedestabilizingeffectsofUIarelargerintheabsenceofthisshock,strengtheningthemainpointsofthepaper.
Theseshocksgenerateaboom-bustcycleinthehousingmarketandthemacroeconomysimilartotheUSexperience,althoughthesizeoftheboom-bustissmallerinthemodel.Duringtheboom,theequilibriumbanklendingrategraduallyfalls,closelyfollowingthedeclineinthebankfundingcost.Asborrowingcostsforhouseholdsandfirmsdecline,householdsincreasemortgageborrowingandhousingdemand,causinghousepricestoincrease;firmshiremorelabor,leadingtoincreasesinlaborincomeandoutput,whichfurthercontributestotheincreaseinhouseprices.Thecombinationoftheincreasesinhousepricesandlaborincomegeneratesanincreaseinaggregateconsumption.
Inthebustperiod,allaggregatevariablesofinterestfallbelowtheirinitialsteady-statelevelwhilethebankcapitaldeterioratessharplyduetoincreasedforeclosuresandthedeclineinmortgagevaluations.Sincetheamountthatbankscanlenddependsontheircapital,banksareforcedtocutbacklending,whichinequilibriumcausesalargebuttemporaryspikeinthebanklendingrate.Then,duetohighborrowingcosts,firmscutbackemployment,loweringincometohouseholds.Householdscutbackconsumptionduetothecombinationoflowerincomeandhouseprices,andhigherborrowingcosts.
Tounderstandthe(de)stabilizingeffectsofUI,wecomparetheboom-busttransitionsgeneratedbytheshocksaboveineconomieswithpermanentlydifferentlevelsofUIgenerosity.Theresultsofthisexerciseillustratethat,duringthebust,economieswithmoregenerousUIbenefitsexperiencelargerincreasesinforeclosuresandbanklendingrates,aswellasgreaterdeclinesinbanknetworth,houseprices,householddebt,consumption,andoutput.
3Wehavechosenshockstothebankborrowingrateasthedriveroftheboom-bustcycleinthebenchmarkanalysissince,intheempiricalpartofthepaper,weshowthattheeffectsofchangesininterestratesonhousingandmortgagemarketsareamplifiedinmoregeneroussystems.However,wedemonstrateinthepaperthatthedestabilizingeffectsofUIarepresentunderproductivityandhousepriceexpectationshocksaswell.
4
TheaggregatedestabilizingeffectsofUIaremainlydrivenbyitsinfluenceontheemployed.Whilethebalancesheetvulnerabilitiesaffectboththeemployedandunemployed,theunemployedreceivehigherbenefitsinmoregenerousUIeconomiesduringthebustbuttheemployeddonot.Consequently,theconsumptionoftheunemployedisstabilizedinthebustperiodundermoregeneroussystems.However,theforeclosurerateoftheunemployedfollowsanon-monotonicpattern:itincreaseswithUIforlowUIlevelsandthendeclines.Ontheotherhand,theemployedexperiencelargerdeclinesinconsumptionandagreaterincreaseinforeclosuresundermoregenerousUI,drivingaggregatetrends,astheemployedconstitutethemajority.
TheweakeningeffectsofUIonbothhouseholdandbankbalancesheetsdriveourresults.Onthehouseholdside,first,households’abilitytoinsureagainstincomelossduringthebustislowerduetolowerprecautionarysavingsinhigherUIeconomies.Second,sincehouseholdsaremoreleveragedinhigherUIeconomies,agivendeclineinhousepriceshasalargerwealtheffect.Onthebankingside,thehighershareofmortgagesinbankbalancesheetsandhighermortgagedebt-to-incomeratiosinhigherUIeconomiesmakebanksmorevulnerabletoadverseshocksfortworeasons.First,asmortgagesarelong-termassets,theirmarketvaluedeclinesastheequilibriumbanklendingrateincreases.ThiseffectisamplifiedinmoregenerousUIsystemssincethefractionofmortgagesishigherinbankbalancesheets.Second,highermortgagedebt-to-incomeratiomakesbanksmorepronetoforeclosurelosseswhenanunexpectedbustintheeconomylowershousepricesandincome.Consequently,banknetworthdeclinesmoreduringthebustinmoregenerousUIeconomies,causingalargerdeclineincreditsupplyandalargerincreaseintheequilibriumbanklendingrate,whichincreasesborrowingcostsmoreforbothhouseholdsandfirms,deepeningtherecession.
Tounderstandtheimportanceofhouseholdandbankbalancesheetsinourmodel,westudytheeconomicdynamicsduringthebust,byclosingthegeneralequilibriumfeedbackfrombankbalancesheetstothebanklendingrate.Thisessentiallyeliminatesthesharpincreaseinthebanklendingrateduringthebustresultingfromdeterioratingbankbalancesheets.Wefindthat,inthiscase,higherUInolongerdestabilizesoutputandconsumption.Housepricesandhouseholddebtstilldecreasemore,andforeclosuresstillincreasemoreundermoregeneroussystems,buttheeffectsarerelativelysmaller.Overall,thesefindingshighlightthesignificantrolesofbothhouseholdandbankbalancesheetsinthedestabilizing
5
effectsofUI.
TheimportanceofthegeneralequilibriumfeedbackfrombankbalancesheetstothebanklendingrateinamplifyingthedestabilizingeffectsofUIillustratesthatincreasingUIgenerosityforthewholeeconomycreatesasystemicvulnerabilityinthenationalbankingsystem.Ontheotherhand,whenonestateintheUSincreasesitsUI,itdoesnotgenerateasystemicriskinthenationalbankingsystem.Consequently,empiricalstudiesrelyingoncross-statevariationinUImightunderestimate(overestimate)thedestabilizing(stabilizing)effectsofUIsincetheydonotcapturethesystemicriskcreatedbyincreasingtheUIforthe
wholeeconomy.4
ThedestabilizingeffectsofUIthatwefindarenotana-prioriunambiguousoutcome.Infact,wefindthatunexpectedandtemporaryincreasesinUIstabilizedownturns.However,permanentdifferencesinUIaffecthouseholdandbankbalancesheetsinamannerthatmakesthemvulnerabletodownturns,outweighingitsstabilizingeffects.
Inthesecondpartofthepaper,weprovideempiricalevidencefromtheUShousingandmortgagemarkets,consistentwithourmodel’spredictions.WeusetheUIsystemintheU.S.aseachstatesetsitsUIlevel,leadingtosignificantheterogeneityinUIgenerosityacrossstates.First,weexploretherelationshipbetweenUIgenerosityandhouseholdleverage.WeuseHomeMortgageDisclosureAct(HMDA)dataandshowthatUIandloan-to-income(LTI)ratioatmortgageoriginationarehighlypositivelycorrelatedacrossUScounties.Quantitatively,asUIbenefitsincreasefromthe10thpercentiletothe90thpercentile,theLTIratioincreasesby20percentagepoints(equivalenttoaround10percent).Thiseconomicallylargeeffectstillholdswhenweincludeyear,county,andbank-yearfixedeffectstocontrolfortime-invariantcounty-levelcharacteristicsandtime-varyingbankcharacteristics.
Tosupportcausalinterpretation,wealsoexploitanunexpectedcutinUIbenefitsdurationinMissouriin2011(from73weeksto57weeks)(
JohnstonandMas
(
2018
)).AsMissouriistheonlyaffectedunit,weemployasyntheticcontrolapproach(
Karahan,MitmanandMoore
(2019))
.WefindthattheaverageLTIratioinMissouriwouldhavebeen10basispoints(approximately5percent)higheriftherewerenoreductionsintheUIduration,indicatingacausalpositiveeffectofUIontheLTIratio.
4Cross-statevariationinUIwouldcapturetheeffectofhigherUIonbankbalancesheetsonlytotheextendthatbanksarelocalandlocalhouseholdsandfirmsrelyonlocalbanks.
Next,weanalyzethedelinquencybehavioroftheemployedhouseholdsinthedatatotestthemodel’spredictionthattheforeclosurerateamongtheemployedishigherinhigherUIeconomieswhenhousepricesdecline.Indoingso,wecloselyfollow
Hsu,MatsaandMelzer
(2018)andusetheSurveyofIncomeandProgramParticipation(SIPP)data,whichincludes
mortgagedelinquencyinformation,astrongpredictorofforeclosures.WefindthatemployedindividualsinstateswithhigherUIbenefitsexperiencedahigherdelinquencyratewhenhousepricesdeclinedduringthe2008crisis.
Finally,wetestthemodel’spredictionthatUIpoliciesdestabilizethehousingmarket.Inparticular,wefocusonhousepricesandmortgagecreditvolumeandanalyzehowUIbenefitsinteractwiththechangesinlong-terminterestrates—theshockthatweuseinthequantitativemodel.Toensurethatourresultsarenotdrivenbyomittedvariables,weuseborderdiscontinuitydesignandexploittheheterogeneityinUIlevelsacrossstatebordersbycomparingtwoneighboringcountiesthatarelocatedatstateborders,oneofthemlocatedinonestateandtheotherlocatedintheotherstate
.5
OurresultsshowthatcountieswithmoregenerousUIbenefitsexperiencehighermortgageandhousepricegrowthwhenlong-terminterestratesdecline.Inallofourregressionmodels,weincludeotherimportant
macroeconomicvariables,theirinteractionswithUIbenefits,aswellasotherstate-levelsocialwelfarepoliciesandtheirinteractionswithlong-termrates.Overall,theseresultsprovideevidencethatUIbenefitsmightfailtoactasanautomaticstabilizer.
RelatedLiterature:Thereisampleevidencethatsupportsthebalancesheetchannelsthatwehighlightinthispaper.
MianandSufi
(2010)and
Mian,RaoandSufi
(2013)showthatU.S
.countieswithhigherhouseholdleverageasof2006experiencedadeeper2007–09recession.
KaplanandViolante
(2014)highlighttheimportanceof“hand-to-mouth”consumersforthe
responseofaggregateconsumptiontoincome/wealthshocks.Inourmodel,amoregenerousUIincreasesthefractionofhand-to-mouthhouseholds,makingindividualconsumptionmoredependentonindividualincome,increasingtheeconomy’sresponsetoadverseshocks.Onthebankingside,theroleofmortgagesintheGreatRecessioniswelldocumented(
Bernanke
(2018),
GertlerandGilchrist
(
2018a
),and
BrunnermeierandReis
(
2023
)).
OurpapercontributestotheliteratureontheautomaticstabilizationeffectsofUI.
McKay
5Dube,LesterandReich(2010),Hagedornetal.(2013),Hagedorn,ManovskiiandMitman(2015),and
Arslan,DegerliandKabas(2024)alsousestateborderdiscontinuitydesign.
6
7
andReis
(2016,
2021
)mergethestandardincomplete-marketsmodelofconsumptionwiththe
NewKeynesianmodelofnominalrigiditiesandbusinesscyclesandfindthattax-and-transferprogramsreduceaggregatevolatility.
DiMaggioandKermani
(2016)usecross-sectional
variationinbenefitreplacementratestoshowthathigherUIattenuatestheimpactofadverseshocksonemployment.
Hsu,MatsaandMelzer
(2018)findthatUIbenefitswerebeneficial
insmoothingthehousingmarketbyloweringmortgagedefaultsoftheunemployed.Wealsofindsimilareffectsontheunemployedbothinourquantitativemodelandinmicrodata.Wedifferfrom
Hsu,MatsaandMelzer
(2018)byanalyzingthedestabilizingeffectsofUIonthe
employed,whichconstitutethemajority.Sincetheemployedconstitutethemajority,theaggregatesaredominatedbytheirresponses.Overall,wecontributetothisliteraturebyidentifyingnewchannelsthatoverturnthestabilizingeffectsofUI,whichwedemonstratetobeimportantbothquantitativelyandempirically.
WealsocontributetotheliteraturethatinvestigatesthecostsandbenefitsofUIbenefits.MoststudieshavefocusedonthenegativeimpactofUIonthelabormarket.While
Chodorow-
Reich,CoglianeseandKarabarbounis
(2018)reportsmalleffects,
Hagedornetal.
(2013),
Hagedorn,ManovskiiandMitman
(2015),and
Nakajima
(2012)findsignificantadverseeffects
onemployment.Recently,
Arslan,DegerliandKabas
(2024)studiesthenegativeimpactof
UIonbankfunding.TheyfindthatmoregenerousUIlowersbankdeposits,banks’safestandmoststablefundingsource,reducingtheirlendingtofirms.ThereisalsoavastliteraturethatstudiesthemoralhazardaspectsofUI,whichweabstractfrominthispaper(
Shavell
andWeiss
(1979),
HansenandImrohoroglu
(1992),
AtkesonandLucas
(1995),
Hopenhayn
andNicolini
(1997),and
Abdulkadiroglu,KuruscuandSahin
(2002))
.Wedonotmodeljobsearchand/orjobcreation,moralhazardorbankfundingchoice,whichhavebeenthemainmechanismsconsideredinthesestudies,andhavealreadybeenshowntohindertherisk-sharingbenefitsorthestabilizingeffectsofUI.Instead,wecomplementthesestudiesbystudyingthenegativeeffectsofUIonhouseholdandbankbalancesheets.
Ourpapersharessimilaritieswith
Hubbard,SkinnerandZeldes
(1995),
Athreyaand
Simpson
(2006),and
BornsteinandIndarte
(2023)thatexaminetherelationshipbetween
precautionarysavings,creditmarkets,andpublicinsurance.Consistentwithoursteady-statefindings,
Hubbard,SkinnerandZeldes
(1995)findthatprecautionarysavingsdecline
significantlywiththepresenceofsocialinsurance.
AthreyaandSimpson
(2006)findthat
8
increasesinpublicinsurancegenerositymightleadtomoreunsecuredhouseholddebt.
BornsteinandIndarte
(
2023
),leveragingzipcodeheterogeneityinstaggeredexpansionsofMedicaid,findthattheexpansionledtoasignificantincreaseinhouseholddebt.WecomplementthesestudiesbystudyingtheeffectsofUIonmortgagedebt.Inaddition,weanalyzethedestabilizingeffectsofUIonmortgageissuanceandhouseprices.
Themechanismsinourpaperaresimilartothosewiththefinancialfrictionsandpecuniaryexternalitiespresentin
Lorenzoni
(
2008
)and
BrunnermeierandSannikov
(
2014
).Intheirframework,contractsthatimproverisk-sharingmayleadtohigherleverageandamplifiedcrises.Similarly,inourframework,higherUIbenefitsinsurehouseholdsagainstrisk,andhouseholdsrespondbyborrowingmoreformortgages,amplifyingboomsandbusts.
Methodologically,ourequilibriumframeworkcombineskeyelementsfromtwoliteratures.
First,onestrandofliteraturehasmodeledthepricingofhouseholddefaultriskinthemortgagemarketwithoutconsideringitsconsequencesonbankbalancesheets
.6
Second,anotherliteraturehasstudiedtheimportanceofthebankbalancesheetchannelwithouttakingintoaccounttheeffectofhouseholdforeclosuresonbankbalancesheets
.7
Inadditiontostudyingadifferentquestionfromthoseexploredinthesepapers,ourtheoreticalcontributionistocombinehousehold,firm,andbankbalancesheetsintooneframework,asdonein
Arslan,
GulerandKuruscu
(2023),whostudiedthedriversoftheUSboom-bustcyclearound2008
.WeintroduceunemploymentriskandUIbenefitstostudythe(de)stabilizingeffectsofUI.
2QuantitativeAnalysis
2.1TheModel
Themodeliscomposedoffivesectors:(i)finitely-livedhouseholds,(ii)acontinuumofall-identicalbanks,(iii)realestatecompanies,(iv)good-producingfirms,and(v)thegovernment.Thereisnoaggregateuncertainty.Boom-busttransitionsaregeneratedby
unexpectedshocks,whichareperceivedaspermanent.Otherthantheshockperiods,thereis
6See
Jeske,KruegerandMitman
(2013),
CorbaeandQuintin
(2015),
ChatterjeeandEyigungor
(2015),
Arslan,GulerandTaskin
(2015),
Guler
(2015),
Hatchondo,MartinezandSanchez
(2015),
Boar,Goreaand
Midrigan
(2021),
Kaplan,MitmanandViolante
(2020),and
Guren,KrishnamurthyandMcQuade
(2021)
.
7See
MendozaandQuadrini
(2010),
GertlerandKiyotaki
(2010,
2015),
BianchiandBigio
(2022),and
CorbaeandD’Erasmo
(2013,
2021
).
9
perfectforesight.Inthissection,weprovideadescriptionofeachsector.DetailedformulationsofalltheproblemsisprovidedintheAppendix
A.
2.1.1Households
HouseholdsliveuntilageJ,retireatageJr<J,andreceiveutilityfromconsumptionandhousingservices.Therearetwotypesofhouseholds:capitalistsanddepositors,denotedbyi∈{K,D}.Therearetwofundamentaldifferencesbetweencapitalistsanddepositors.First,capitalistssavethroughsharesingood-producingfirmsandrealestatecompanies,whichpaythesamerateofreturnrkinaperfectforesightequilibrium(moreonthislater).Ontheotherhand,depositorssavethroughbankdeposits,whichpayanexogenousinterestrater.Second,weallowthemtodifferintheirdiscountfactors.Withthesedifferencesthemodelcanmatchwealthinequalityandtheshareofhand-to-mouthconsumers,whichallowsustogeneratereasonableconsumptionresponses(seealso
KaplanandViolante
(2014))
.8
IncomeandUnemploymentRisk:Working-agehouseholdscanbeeitheremployedorunemployedexogenously.Whentheyareemployed,theysupplylaborinelastically.Theefficiencyunitofahousehold’slabortakestheformexp(f(j)+z),wheref(j)isthelife-cyclecomponentofthehousehold’sproductivity,kistheemploymentstatus(eforemployedanduforunemployed),andzjfollowsanAR(1)processgivenbyzj=ρzj?1+εj,withεjbeingindependentlyandidenticallydistributedasN(0,σ)
.9
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