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FinanceandEconomicsDiscussionSeries
FederalReserveBoard,Washington,D.C.
ISSN1936-2854(Print)
ISSN2767-3898(Online)
TheIn丑ationAccelerator
AndresBlanco,CorinaBoar,CallumJones,VirgiliuMidrigan
2024-078
Pleasecitethispaperas:
Blanco,Andres,CorinaBoar,CallumJones,andVirgiliuMidrigan(2024).“TheIn丑ationAccelerator,”FinanceandEconomicsDiscussionSeries2024-078.Washington:BoardofGovernorsoftheFederalReserveSystem,
/10.17016/FEDS.2024.078
.
NOTE:StafworkingpapersintheFinanceandEconomicsDiscussionSeries(FEDS)arepreliminarymaterialscirculatedtostimulatediscussionandcriticalcomment.TheanalysisandconclusionssetfortharethoseoftheauthorsanddonotindicateconcurrencebyothermembersoftheresearchstafortheBoardofGovernors.ReferencesinpublicationstotheFinanceandEconomicsDiscussionSeries(otherthanacknowledgement)shouldbeclearedwiththeauthor(s)toprotectthetentativecharacterofthesepapers.
TheInflationAccelerator*
AndresBlancotCorinaBoar❹CallumJones§VirgiliuMidrigan¶
June2024
Abstract
Wedevelopatractablestickypricemodelinwhichthefractionofpricechangesevolvesendogenouslyovertimeand,consistentwiththeevidence,increaseswithinfla-tion.Becauseweassumethatfirmssellmultipleproductsandchoosehowmany,butnotwhich,pricestoadjustinanygivenperiod,ourmodeladmitsexactaggregationandreducestoaone-equationextensionoftheCalvomodel.Thisadditionalequationdeterminesthefractionofpricechanges.Themodelfeaturesapowerfulinflationac-celerator–afeedbackloopbetweeninflationandthefractionofpricechanges–whichsignificantlyincreasestheslopeofthePhillipscurveduringperiodsofhighinflation.AppliedtotheU.S.timeseries,ourmodelpredictsthattheslopeofthePhillipscurverangesfrom0.02inthe1990sto0.12inthe1970sand1980s.
Keywords:Phillipscurve,inflation,pricerigidities.
*WethankMarkGertlerforusefulfeedback,HughMontagandDanielVillarforsharingthedataonthefrequencyofpricechanges,andSukJoonKimforexcellentresearchassistance.TheviewsexpressedarethoseoftheauthorsandnotnecessarilythoseoftheFederalReserveBankofAtlantaortheFederalReserveBoard.
FederalReserveBankofAtlanta,
julioablanco84@.
NewYorkUniversityandNBER,
corina.boar@.
§FederalReserveBoard,
callum.j.jones@.
¶NewYorkUniversityandNBER,
virgiliu.midrigan@.
1
1Introduction
Therecentriseininflationinmanyeconomieshasspurredconsiderableinterestinfurtherunderstandingthedynamicsofprices.IdentifyingthecausesofhighinflationhingescriticallyontheshapeofthePhillipscurve.OurgoalinthispaperistomeasurehowtheslopeofthePhillipscurvefluctuatesintheU.S.macroeconomictimeseries.Sinceakeydeterminantofthisslopeisthefractionofpricechanges,weuseamodelthatreproducesthewidelydocumentedevidencethatthefractionofpricechangesincreasesintimesofhighinflation
.1
Thoughthemenucostmodelisanaturalframeworktoendogenizethefractionofpricechanges,
2
itisdifficulttouseforempiricalandpolicyanalysis.Thisdifficultyarisesfromthecomputationalchallengesassociatedwithaggregatingindividualdecisionrulesinasettinginwhichthestateoftheeconomyischaracterizedbythedistributionofpricesacrossfirms.Thesechallengesareespeciallypronouncedwhenthefractionofpricechangesrespondstoaggregateshocks,whichgivesrisetoimportantnon-linearities,orinthepresenceofstrategiccomplementarities,whichgenerateaninteractionbetweenthepricesofcompetitors.
Ourpaperproposesanalternativetothemenucostmodelthatalsoendogenizesthefractionofpricechangesandallowsittovaryovertime,but,unlikethemenucostmodel,ishighlytractable.Themainchallengeinallowingthefractionofpricechangestoevolveendogenouslyovertimeisthatafirm’spriceadjustmentdecisiondependsonhowfarfromtheoptimumitspriceis:firmswhosepricesarefurtherfromtheoptimumhavestrongerincentivestoadjust.Equilibriumoutcomesarethereforeafunctionoftheentiredistributionofpricechanges,aninfinite-dimensionalobject.Wecircumventthischallengebyassumingthatfirmssellacontinuumofproductsandchoosehowmany,butnotwhich,pricestoadjustinanygivenperiod,subjecttoanadjustmentcost.Becausefirmscannotchoosewhichpricestoadjust,thedistributionofpricesisnolongernecessarytodescribetheincentivestoadjust,sotheeconomyadmitsexactaggregation
.3
Weshowthatourmodelreducestoaone-equationextensionoftheCalvomodel,withtheadditionalequationpinningdownhowmanyprices
1See
Gagnon
(2009),
Nakamuraetal.
(2018),
Alvarezetal.
(2018),
KaradiandReiff
(2019),
Montagand
Villar
(2023)and
Blancoetal.
(2024)forevidencethatthefrequencyofpricechangesincreaseswithinflation,
aswellas
Hazelletal.
(2022)and
Fitzgeraldetal.
(2024)forevidenceontheslopeofthePhillipscurveusing
state-leveldata.
2See,forexample,
Barro
(1972),
SheshinskiandWeiss
(1977),
Dotseyetal.
(1999),
GolosovandLucas
(2007),
GertlerandLeahy
(2008),
Midrigan
(2011),
AlvarezandLippi
(2014),
Alvarezetal.
(2016),
Alvarez
etal.
(2018),
Auclertetal.
(2022)
.However,
Blancoetal.
(2024)showthatthecanonicalmenucostmodel
hasdifficultiesreproducingtheextenttowhichthefrequencyofpricechangescomoveswithinflation.
3Inadditiontothemenucostliterature,
Romer
(1990)alsoendogenizesthefrequencyofpricechangesin
aCalvomodel,butcircumventsthecurseofdimensionalitybyassumingthatfirmschoosethefrequencyofpricechangesonceandforall.Inthatmodelthefrequencyofpricechangesisconstantovertime.
2
changeinagivenperiod
.4
OurmodelneststheCalvomodelinthelimitingcasewhentheadjustmentcostgoestoinfinity.Moregenerally,uptoafirst-orderapproximation,ourmodel’sdynamicsareidenticaltothoseoftheCalvomodelabsenttrendinflation.
OurkeyfindingisthattheslopeofthePhillipscurvefluctuatesconsiderablyintheU.S.timeseriesandincreasesintimesofhighinflationduetoafeedbackloopbetweeninflationandthefractionofpricechanges.Ononehand,anincreaseinthefractionofpricechangesincreasesinflation,moresothehighertheinflationratetobeginwith.Ontheotherhand,anincreaseininflationincreasesthefirms’incentivestoadjustprices,furtherincreasingthefractionofpricechanges.WerefertothisfeedbackloopastheinflationacceleratorandshowthatitisresponsibleforthebulkofthesteepeningofthePhillipscurveinperiodsofhighinflation.Ourfindingsthereforesuggestthatreducinginflationislesscostlywheninflationishighthanwhenitislow.
WestudyarelativelystandardNewKeynesianeconomyinwhichmulti-productfirmssellacontinuumofgoodsandchoosewhatfractionoftheirpricestochangeeachperiod,subjecttoanadjustmentcostthatisincreasingandconvexinthenumberofpricesthatthefirmadjusts.WeassumedecreasingreturnstoscaleinproductionwhichintroducestrategiccomplementaritiesinpricesettinganddampentheslopeofthePhillipscurve.Forclarity,westartbyassumingthatmonetarypolicytargetsnominalspending,andshowinanextensionthatourresultsarerobusttoconsideringaconventionalTaylorrule.Shockstothegrowthrateofnominalspendingaretheonlysourceofaggregatefluctuations.RelativetothestandardCalvomodel,endogenizingthefrequencyofpricechangesaddsasingleadditionalequationthatbalancesthemarginalcostofchangingpricesagainstthemarginalbenefit.Themarginalbenefitincreaseswithinflation,implyingthatthefrequencyofpricechangesincreaseswithinflation.Becauseendogenizingthefrequencyofpricechangesintroducesnon-linearitiesinthedynamicsofoutputandinflation,wesolvethemodelusingglobalprojectionmethods,butshowthatathird-orderperturbationprovidesanaccurateapproximation,suggestingthatthemodelcanbesolvedusingreadily-availablesolutiontechniques.
Wefirstbuildintuitionfortheworkingsofthemodelbystudyingimpulseresponsestoexpansionarymonetaryshocksinenvironmentswithlowandhightrendinflation.Weshowthattherealeffectsofmonetaryshocksareconsiderablysmallerinenvironmentswithhighinflationfortworeasons.First,thesteady-statefrequencyofpricechangesishigher
inenvironmentswithhighinflation.Second,thefrequencyofpricechangesincreasesin
4Theassumptionwemakeisreminiscentofthatin
Greenwald
(2018)whousesalargefamilyconstruct
toendogenizerefinancingdecisions.
3
responsetoshocks.Thoughthisincreaseisrelativelysmall,ithasalargeimpactonthe
pricelevelbecauseadjustingfirmsrespondtotheunderlyingtrendinflationandincreasepricesbylargeamounts,aneffectreminiscentof
CaplinandSpulber
(1987)
.
WebuildadditionalintuitionforthedynamicsofinflationandoutputbyderivingthePhillipscurveimpliedbyoureconomy.WeshowthattheslopeofthePhillipscurveisequaltothesumoftwoterms,oneidenticaltotheslopeintheCalvomodel,whichincreasesmechanicallywiththefrequencyofpricechanges,andanotherwhichcapturestheinflationaccelerator.ThissecondtermincreasesmuchmorerapidlywithinflationandthusaccountsforthebulkoftheincreaseintheslopeofthePhillipscurveinhigh-inflationenvironments. WeuseourframeworktocharacterizehowtheslopeofthePhillipscurveevolvesinthepost-warU.S.timeseries.Wedosobyfirstidentifyingthesequenceofmonetaryshocksthatallowsthemodeltoreproducethepathofinflationinthedata.Wethenconsideralog-linearperturbationaroundtheequilibriumpointateachdateandderivetheslopeofthePhillipscurve.WefindthattheslopeofthePhillipscurvevariesconsiderably,rangingfrom0.02inlow-inflationperiodssuchasthe1990sto0.12inhigh-inflationperiodssuchasthe1970sandthe1980s.Theinflationacceleratoraccountsforthebulkofthisincrease:initsabsence
thehigherfrequencyofpricechangesinthe1970sand1980swouldonlyincreasetheslopeofthePhillipscurveto0.04.WeshowthatourfindingsarerobusttoeliminatingstrategiccomplementaritiesandtoassumingthatmonetarypolicyfollowsaconventionalTaylorrule.
ThattheslopeofthePhillipscurvevariesovertimehasimportantimplicationsforthetradeoffbetweeninflationandoutputstabilization.Wegaugehowthistradeoffvariesovertimebycalculatingameasureofthesacrificeratio:thefallinoutputrequiredtoachieveaonepercentagepointreductionininflation.Thesacrificeratiovariesconsiderably,from1.4%inthelow-inflationperiodinthe1990sto0.4%inthehigh-inflationperiodsinthe1970sand1980s.Wethereforeconcludethatourmodelimpliesthatifinflationishightobeginwith,bringingitdownrequiresasmallerdropinoutputthanifinflationislow.Ourmodelthusrationalizestheviewthatreducinginflationfrom10%to9%isalotlesscostlythanreducingitfrom3%to2%.
Therestofthepaperproceedsasfollows.Section2presentsthemodel.Section3describestheparameterization.Section4analyzesthesteadystateofthemodel.Section5appliestheframeworktothetime-seriesU.S.data.Section6discussesseveralrobustnessexercises.Section7concludes.
4
2Model
Westudyaneconomyinwhichfirmsadjustpricesinfrequently.IncontrasttothestandardNewKeynesianmodel,weallowthefrequencyofpricechangestofluctuateendogenouslyovertimebyassumingthatmulti-productfirmschoosewhatfractionoftheirpricestoadjustinanygivenperiod.Wecircumventtheneedtokeeptrackofthedistributionofpricesbyassumingthatfirmschoosehowmany,butnotwhich,pricestochange.Owingtothisassumption,ourmodelreducestoaone-equationextensionofthestandardCalvomodel,withtheadditionalequationdescribinghowthefractionofpricechanges,andthereforetheslopeofthePhillipscurve,ispinneddowneachperiod.
Forclarity,westartbyassumingthatmonetarypolicytargetsnominalspending,whichevolvesovertimeaccordingtoarandomwalkprocess.Shockstothegrowthrateofnominalspendingaretheonlysourceofaggregatefluctuations.WethenshowintherobustnesssectionbelowthatassuminginsteadthatmonetarypolicyfollowsaTaylorruledoesnotchangeourkeyfindings.
2.1Consumers
Arepresentativeconsumerhaspreferencesoverconsumptionctandhoursworkedhtand
maximizeslife-timeutility
subjecttothebudgetconstraint
wherePtisthenominalpricelevel,Btareholdingsofarisk-freebondwhichpaysnominalinterestit,Dtarethedividendsfromthefirmstherepresentativeconsumerowns,andWtisthenominalwagerate.
2.2MonetaryPolicy
Weassumethatmonetarypolicytargetsnominalspending,Mt≡Ptct,whichfollowsarandomwalkwithdrift
whereµistheaveragegrowthrateofnominalspendingandεt+1areGaussianinnovationswithstandarddeviationσ.As
AfrouziandYang
(2021)pointout,thisspecificationofthe
5
monetarypolicyruleisequivalenttoaninterestrateruleinwhichthecentralbankassignsthesameweighttoinflationandoutputgrowth.
2.3Technology
Thereisacontinuumofintermediategoodsfirmsindexedbyi.Eachfirmproducesacon-tinuumofproductskwithtechnology
yikt=(likt)η,
whereyiktistheoutputofproductkproducedbyfirmi,liktisthelaborusedinproduc-tionandη≤1isthespan-of-controlparameterwhich,asin
BursteinandHellwig
(2008),
introducesamicro-levelstrategiccomplementarityinpricesetting.
AperfectlycompetitivefinalgoodssectoraggregatestheintermediategoodsyiktintoacompositefinalgoodusingaCESaggregator
whereθistheelasticityofsubstitution,whichweassumetobethesamebothacrossproductsandacrossfirms.Thisimpliesthatthedemandforanindividualproductis
yikt=−θyt,(1)
wherePiktisthepriceofanindividualproductand
istheaggregatepriceindex.
2.4ProblemofIntermediateGoodsProducers
Wenextdescribetheprofitmaximizationproblemofintermediategoodsproducers.
PeriodProfits.ThenominalprofitsoffirmifromproducingproductkarePiktyikt−τWtlikt,
whereτ=1−1/θisasubsidythatremovesthemarkupdistortionthatwouldariseevenintheabsenceofpricerigidities.Usingthedemandfunction(
1
),wecanexpressrealprofitsas
6
LossesfromMisallocation.Differencesinthepriceofproductssoldbyagivenfirmgeneratelossesfrommisallocation,reducingfirmproductivity.Toseethis,let
denotethecompositeoutputproducedfirmiandletlit=∫liktdk
denotethetotalamountoflaborthefirmuses.Wecanthenderiveafirm-levelproductionfunction
where1
denotesthepriceindexoffirmiand
determinestheextentofmisallocation.Absentdispersioninprices,Xit/Pit=1andproduc-tivityismaximized.Withpricedispersion,Xit/Pit<1andproductivityisreduced.
PriceAdjustmentCost.Weassumethatthefirmhasaconvexcostofchangingpricesdenominatedinunitsoflabor.Thiscostisincreasinginthenumberofpricesnitthefirmresetsandisequalto
2,ifnit>
andzerootherwise.Here,ξdeterminesthesizeoftheadjustmentcostandisthefractionoffreepricechanges.Thekeyassumptionwemakeisthatalthoughthefirmcanchoosehowmanypricestochangeinagivenperiod,itcannotchoosewhichpricestochange.Byendogenizingthefrequencyofpricechanges,themodelcancapturetheevidencethatfirmsaremorelikelytoadjustpricesintimesofhighinflation,asinmenucostmodels,butinamuchmoretractableway.Whenξ→∞,themodelcollapsestotheCalvomodelwithaconstantfrequency.
Ourmodelsharessimilaritieswiththatin
Romer
(
1990
)whichendogenizesthefrequencyofpriceschangesintheCalvomodel
.5
In
Romer
(1990)firmschooseaonce-and-for-allprice
5Seealso
Kiley
(2000),
DevereuxandYetman
(2002)and
Bakhshietal.
(2007)
.
7
adjustmentprobability,balancingthegainsfrommorefrequentadjustmentagainstthecostsofrepricing.Extendingthatmodeltoallowforatime-varyingadjustmentprobabilitywouldrequirekeepingtrackofthedistributionofpricesbecausethegainsfromadjustingwouldbehigherforpricesfurtherawayfromtheoptimum,justlikeinmenucostmodels
.6
Incontrast,ourassumptionthatfirmssellacontinuumofproductsandchoosehowmany,butnotwhich,pricestochange,impliesthatfirmsareex-postidenticalandthatasmallnumberofstatevariablesaresufficienttocharacterizeafirm’sincentivestoadjustprices.Thisfeatureallowsexactaggregationandrendersourmodelverytractable.
PriceSetting.Wenextdescribethefirms’problemindetail.Thevalueofthefirmisthepresentdiscountedsumofitsflowprofits(
2
).Thelog-linearspecificationofpreferences
impliesthatct=tt=ytandallowstowritethevalueofthefirmas
EtΣsβs(∫1−θ—τ−s]dk—(nit+s—)2),
or,usingthedefinitionsofPitandXitinequations(
3
)and(
4
),
ThefirmchooseswhatfractionofpricesnittoreseteveryperiodandtheresetpricePi.Becauseallproductsareidentical,Pikt=Piforallproductswhosepriceisreset.
Tocharacterizetheseoptimalchoices,wefirstdescribehowthechoiceofPiandnitaffect
firmprofitsinfutureperiods.Considerfirsttheterm(Pit+s)1−θinequation(
5
).Usingthedefinitionofthefirm’spriceindexinequation(
3
)andtheassumptionthatthefirmchooseshowmany,butnotwhich,pricestochange,allowsustowritethistermasafunctionofthehistoryofpreviouslychosenresetpricesandrepricingprobabilitiesasfollows
Thefirsttermontherighthandsiderepresentsthecontributionofthenit+snewlyresetpricesinperiodt+s.Thesecondtermrepresentsthecontributionofthe(1—nit+s)nit+s−1
6Seealso
Alvarezetal.
(2021)and
Cavalloetal.
(2024)forvariantsofthemenucostmodelinwhichfirms
choosethepriceadjustmentprobabilitysubjecttoaconvexadjustmentcost.
8
pricesthatwereresetinperiodt+s—1andwerenotresetinperiodt+s.Thispatterncontinueswitheachsubsequenttermaccountingforthecontributionofpricesresetineachperiodleadinguptot+s,includingthoseresetinperiodt,capturedbythefirstterminthelastlineoftheexpression,aswellasthoseresetpriortoperiodt,capturedbythelasttermoftheexpression.Inwritingthislasttermweusedthedefinitionofthepriceindexinequation(
3
)toexpressthehistoryofallresetpricespriortoperiodtusingasinglestate
ss
WecannowcharacterizetheoptimalchoiceofPiandnit.ToderivetheoptimalityconditionwithrespecttoPiwenotethatequations(
6
)and(
7
)implythat
and
Therefore,theresetpricePithatmaximizesthevalueofthefirmsatisfiesthefirstorder
condition
where
and
Thetermsb1itandb2itcapturethepresentvalueofrevenueandmarginalcostsinfutureperiods,weightedbytheprobabilitythatapriceresettodayinstillineffectinthatfutureperiod.Anincreaseinfutureinflationreducestherealvalueoftheresetpriceandincreasesrevenueandmarginalcostsandthereforetheweightthatthefirmplacesonthatperiod.
9
Strategiccomplementarities,capturedbytheterm1+θ,dampentheextentto
whichtheresetpricerespondstoaggregateshocks,generatingadditionalpricestickiness.TheseexpressionsthatdeterminetheoptimalresetpriceareanalogoustothoseobtainedinaCalvomodel,withtheonlydifferencebeingthatintheCalvomodelntisconstant.
Tobuildadditionalintuition,wecanalternativelyexpressthefirm’soptimalresetpriceasafunctionoftheexpectedpresentvalueoffuturemarginalcosts,
∞
where
isthemarginalcostinperiodt+sofproducingagoodwhosepricewaslastresetinperiodtand
denotestherelativeweightofperiodt+sindeterminingthefirm’soptimalprice,withtheweightreflectingtheprobabilitythatthepriceisstillineffectatthatpoint,aswellastheamountthefirmexpectstosellgiventheaggregatepriceindexinthatperiod.
Toderivetheoptimalityconditionwithrespecttonit,wefirstnotethatequations(
6
)and(
7
)implythat
and
Thefractionofpricechangesnitthatmaximizesthevalueofthefirmthereforesatisfiesthefirstordercondition
ξ(nit—)=b1it1−θ1−θ)—τb2it−−.
Inchoosingwhatfractionofpricestoadjust,thefirmbalancesthepriceadjustmentcostsagainstthebenefitsresultingfromchangingitspriceindex,capturedbythefirsttermontherighthandside,andreducingmisallocationinsidethefirm,capturedbythesecondtermontherighthandside.Noticethatthetermsb1itandb2itthatdeterminetheoptimal
10
resetpricealsodeterminethefirm’sincentivetoadjustprices.Forexample,thehigheris
outputyt+sinfutureperiods,thelargerisb2itandthereforethestrongertheincentivetoreducemisallocationandthuseconomizeonlaborcosts.Similarly,themorelikelythefirmistoadjustitspricesinthefuture,thelowerareb1itandb2itandthereforethebenefitsfromadjustingpricestoday.Notethatthefirms’incentivestoadjustareshapedbytwostatevariables,thefirm’spriceindex,Pit−1,andtheamountofmisallocationinsidethefirm,Xit−1,asinthemulti-productmenucostmodelof
Blancoetal.
(
2024
).Nevertheless,becausefirmsareex-postidentical,wedonotneedtokeeptrackofthejointdistributionofthesetwostatevariables.
2.5Equilibrium
Sinceallfirmsareidentical,nit=ntandPi=Pt*.Consequentlyallfirmshavethesame
priceindicesandlossesfrommisallocation.Letp=Pt*/Mt,pt=Pt/Mt,xt=Xt/Ptand
πt=Pt/Pt−1andrecallthat
wherewt=ttistherealwage.Theequilibriumofthemodelischaracterizedbythe
followingsystemofequations:
1.thedefinitionofthepriceindex,whichdeterminesinflationasafunctionoftherelativeresetpriceandthefractionofpricechanges
2.theoptimalresetprice
(9)
whereb1tandb2taredeterminedby
b1t=1+βEt(1—nt+1)(πt+1)θ−1b1t+1(10)
−1θ
b2t=ptη+βEt(1—nt+1)(πt+1)ηb2t+1,(11)
3.theoptimalchoiceofthefractionofpricechanges
11
4.theendogenousproductivitytermthatcapturesthelossesfrommisallocation
Noticethatinflationisequalto
where
isthepreviousperiod’spricelevelscaledbycurrentnominalspending.Becausethegrowthrateofnominalspendingisiid,theonlytwostatevariablesinthiseconomyarestandxt−1,sothesolutionofthemodelisgivenbyfunctionspt=P(st,xt−1),xt=X(st,xt−1)etc.,thatdeterminehowoutputandinflationevolveovertimeinresponsetomonetarypolicyshocks.
RelativetotheCalvomodel,theonlynewequationisequation(
12
)whichcharacterizeshowthefractionofpricechangesevolvesovertime.TheCalvomodelisaspecialcaseofourmodelthatcanbeobtainedbysettingξ→∞,inwhichcasent=isconstant.IntheCalvomodelthepreviousperiod’slossesfrommisallocationxt−1donotaffectthefrequencyofpricechanges,sothepricelevelonlydependsonasinglestatevariable,st.
Wesolvethesystemoffunctionalequationsthatcharacterizethesolutionofthemodelus-ingglobalprojectionmethods,byapproximatingtheequilibriumfunctionsusingChebyshevpolynomials.Wefound,however,thatathird-orderperturbationprovidesaveryaccurateapproximation,suggestingthatthemodelcanbeeasilysolvedusingreadily-availablesolutiontechniques.SeetheAppendixfordetails.
3Parameterization
Wenextexplainhowweparameterizethemodel.Wefirstdiscusstheparametersweassignvaluestoandthentheparameterswecalibrateendogenously.
3.1AssignedParameters
Aperiodinthemodelisaquarter.Wesetthreeparameterstovaluesconventionalintheliterature:aquarterlydiscountfactorβof0.99,ademandelasticityθof6andareturnstoscaleparameterηof2/3.Intherobustnesssectionbelowweshowthatourresultsarerobusttoperturbingθandη.
12
3.2CalibratedParameters
Theparameterswecalibrateendogenouslyarethosedeterminingtheaveragelevelandvolatil-ityofinflation,aswellastheaveragefrequencyofpricechangesanditscomovementwithinflation.Specifically,wesettheaveragegrowthrateofnominalspendingμ,thestandarddeviationofnominalspendinggrowthσ,thefractionoffreepricechanges,andthepriceadjustmentcostparameterξtoreproducethemeanandstandarddeviationofinflation,themeanfractionofpricechanges,andtheslopecoefficientfromregressingthefractionofpricechangesontheabsolutevalueofinflation.Thislaststatisticcapturestheextenttowhichthefractionofpricechangesandinflationcomoveinthetimeseries.
3.2.1TheData
OurmeasureofinflationisthegrowthrateoftheU.S.CPI,availablefrom1962:Q1to2023:Q4.Wefollow
Nakamuraetal.
(
2018
)inusingtheseriesexcludingsheltertoensurethattheinflationdataiscompatiblewiththedataonthefractionofpricechanges.ThefractionofpricechangesiscomputedfromthepricequotescollectedbytheBLSthatunderlietheconstructionoftheCPI
.7
Specifically,weusethemonthlymedianfractionofpricechanges,excludingsales,av
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