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ContentslistsavailableatSciVerseScienceDirect

Journal

of

Health

Economics

jou rn a l h o m e pa g e:w w w . e l s e v i e r . c o m / l o c a t e / e c o n b a s e

Does

retirement

affect

cognitive

functioning?

Eric

Bonsang

a,∗

,

Stéphane

Adam

b

,

Sergio

Perelman

c

aResearchCentreforEducationandtheLabourMarket(ROA),MaastrichtUniversity,P.O.Box616,NL-6200MDMaastricht,TheNetherlands bPsychologyofAgeingUnit,UniversityofLiège,TraversedesArchitectes(B63c),4000Liège,Belgium

cCREPP,UniversityofLiège,Bd.duRectorat,7(B31),4000Liège,Belgium

a

r

t

i

c

l

e

i

n

f

o

Articlehistory: Received12April2011

Receivedinrevisedform2March2012 Accepted15March2012 Available online xxx JELclassification: I12 J1 J24 J26 Keywords: Ageing Cognition Retirement Socialsecurity

Instrumentalvariableestimation

a

b

s

t

r

a

c

t

Thispaperanalysestheeffectofretirementoncognitivefunctioningusingalongitudinalsurveyamong

olderAmericans,whichallowscontrollingforindividualheterogeneityandendogeneityoftheretirement

decisionbyusingtheeligibilityageforsocialsecurityasaninstrument.Theresultshighlightasignificant

negativeeffectofretirementoncognitivefunctioning.Ourfindingssuggestthatreformsaimedat

pro-motinglabourforceparticipationatanolderagemaynotonlyensurethesustainabilityofsocialsecurity

systemsbutmayalsocreatepositivehealthexternalitiesforolderindividuals.

© 2012 Elsevier B.V. All rights reserved.

1. Introduction

Inmostdevelopedcountries,theproportionofolderindividuals

hassubstantiallyincreasedoverthelastfewdecades.This

demo-graphicshifthasincreasedthefocusonhealthinageing.Atthe

sametime,increasedlifeexpectancycombinedwithadeclinein

averageretirementagehasincreasedtheproportionofan

individ-ual’slifespentinretirement.Thisstructuralchangeimposesmany

challengesforthefinancialsustainabilityofsocialsecuritysystems.

Moreover,thisextendedretirementperiodraisesquestionsabout

itspotentialconsequencesonthephysicalandmentalhealth of

theelderly,whichmayinturnaffectlong-termcareexpenditures

(Daveetal.,2008).

In arecent studyusing cross-sectionaldatafromtheUnited

States and Europe,1 Adam et al. (2007a) found that retirees

attained lower cognitive functioning than working individuals.

∗ Correspondingauthor.Tel.:+31433883789;fax:+31433884914. E-mailaddresses:[email protected](E.Bonsang), [email protected](S.Adam),[email protected](S.Perelman).

1TheHealthandRetirementStudy2004(HRS,UnitedStates);theEnglish

Lon-gitudinalStudyonAgeing2004(ELSA,UnitedKingdom);theSurveyofHealth, Ageing,andRetirementinEurope2004(SHARE,Austria,Belgium,Denmark,France, Germany,Greece,Italy,theNetherlands,Spain,Sweden,andSwitzerland).

Furthermore,usingastochasticfrontiermethodology,theauthors

showedthatthelongertheretirementperiod,thelowerthe

cogni-tivetestscore,andthissuggestsanaccelerationofcognitivedecline

during retirement. However, the difference observed between

workersandretireesmayhaveexplanationsotherthanacausal

effectbetweenretirementandcognition.First,impairmentsin

cog-nitivefunctioningmaypreventpeoplefromworking,mayincrease

disutilityfromwork,ormaylowerproductivity.Moreover,

unob-servablefactorsassociatedwithcognitivefunctioningand

retire-mentmaybeinterrelatedwithboth.Individualswithhigherinnate

ability(andthuscognitivefunctioning)mayinvestmoreinhuman

capitalandretireatalateragethanindividualswithlowinnate

ability.

BasedonthedescriptiveevidencefromAdametal.(2007a),

Coe and Zamarro (2011), Mazzonna and Peracchi (2010), and

RohwedderandWillis(2010)havealsoinvestigatedthe

relation-shipbetweenretirement and cognitivefunctioning.In orderto

addresspotentialendogeneitybias,theyusedcross-nationaldata2

andthedifferencesinthelegalageofretirementacrosscountriesas

2 CoeandZamarro(2011)usethefirstwaveofSHAREandMazzonnaandPeracchi

(2010)thefirsttwowavesofSHARE.RohwedderandWillis(2010)complement SHAREdatawithcomparabledatafromtheELSAandtheHRS.

0167-6296/$–seefrontmatter © 2012 Elsevier B.V. All rights reserved. doi:10.1016/j.jhealeco.2012.03.005

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instrumentsfortheretirementdecision.Theresultsweremixed:

whileRohwedderandWillis(2010),andMazzonnaandPeracchi

(2010)foundasignificantandquantitativelyimportantnegative

effectofretirementoncognitivefunctioning,3 CoeandZamarro

(2011)didnotfindasignificanteffect.

Althoughusingcross-countrydifferencesintheeligibilityage

for retirement benefits as instruments can provide a powerful

empiricalstrategyinordertoidentifythecausaleffectof

retire-ment,itisnotwithoutitslimitations.Individualsfromdifferent

countriesfacedifferentinstitutionalsettings,constraintsand

cul-turaldifferencesbeyondretirementschemes.Thisheterogeneity

islikely topartlyshape thelevel andtheage-relatedprofileof

cognitivefunctioning,andtobecorrelatedwiththeinstitutional

settingsofretirementschemes.Forinstance,thereisaclear

North-Southgradientformanyhealthoutcomesbeyondcognitivetest

scores,withNortherncountriesusually performingbetterthan

Southerncountries(Börsch-Supanetal.,2005).Atthesametime,

eligibilityageforretirementtendstobehigherinNorthernthanin

SouthernEuropeancountries.Itisunlikelythatthecross-country

differences inretirement rules fullyexplain this pattern across

Europeancountries. Thosedifferencesmightthusinvalidatethe

exclusionrestrictionsandresultinanover-estimationoftheeffect

ofretirementoncognitivefunctioning.

Inthispaperweestimatethecausalimpactofretirementon

cognitivefunctioningusingpaneldatafromtheHealthand

Retire-mentStudy(HRS),alongitudinalsurveyamongindividualsaged

50+ livingin the UnitedStates. These dataallowus tocontrol

forindividualheterogeneity andtocircumventtheissueof the

endogenous retirementdecision by usingtheeligibility agefor

socialsecurityasaninstrument.Thepaneldimensionofthedata

allowsustocontrolfortime-invariantheterogeneity,suchasthe

cohorteffect,andthusstrengthensthevalidityoftheconditional

independenceandexclusionrestrictionsunderlyinginstrumental

variable(IV)estimation.Moreover,contrarytotheprevious

stud-iesinvestigatingtheeffectofretirementoncognitivefunctioning,

ouranalysisfocusesondatafromasinglecountrywithindividuals

facingbasicallythesameinstitutionalsettingsandconstraints.

Fur-thermore,wefindsuggestiveevidencethattheeffectofretirement

oncognitivefunctioningisnotinstantaneous,butappearswitha

lag.

Thepaperisorganisedasfollows.Section2presentsareviewof

theneuropsychologicalliteratureregardingcognitiveageingand

therelationshipbetweenactivitiesandcognitivefunctioning.

Sec-tion3 describesthe econometricapproach usedtoaddress the

empiricalissuesandSection4presentsthedataandourmeasureof

cognitivefunctioning,usedintheempiricalmodel.Section5details

theresultsfromtheempiricalanalysis.Finally,Section6concludes

anddrawsoutimplicationsfromtheanalysis.

2. Cognitiveageingandtherelationshipbetweenactivity andcognitivefunctioning

Olderindividualsfacemanychallengesassociatedwith

physi-calandmentaldeterioration.Amongthese,theage-relateddecline

insomeimportantcomponentsofcognitivefunctioning,i.e.fluid

abilities,4hasbeenwelldocumented:alargeamountofevidence

3RohwedderandWillis’s(2010)resultssuggestthatretirementcausesadrop

closeto40%inaveragecognitivescore.

4Fluidabilitiesincludeskillssuchasprocessingspeed,workingmemory,and

long-termmemory.Itisworthnotingthatotheraspectsofcognitivefunctioning, knownascrystallisedabilities(suchasverbalabilitiesorknowledge),havebeen showntoremainstable,oreventoimprovewithage(Dixonetal.,2004;Parketal., 2002;Schaie,1994).

suggeststhatageingisassociatedwithadeclineintheabilityto

performseveralcognitivetasks(Dixonetal.,2004;Schaie,1994).

Moreparticularly,ageinghasasalienteffectonepisodicmemory

tasks5(Petersenetal.,1992;Small,2001),episodicmemorydeficits

beingalsolargelyconsideredasahallmarksymptomofAlzheimer’s

disease(Adametal.,2007b;Duboisetal.,2007).

However,thisdeclineinfluidabilitiesisnothomogenousacross

thepopulation,withsomepeoplemaintainingcognitivevitality

even intoextreme old age (Berkman et al., 1993; Silver et al.,

1998,2001).Atthesametime,age-relatedcerebralmodifications

thatareattherootofAlzheimer’sdiseasehavebeenobservedto

haveheterogeneouseffectsoncognitivefunctioning.Forexample,

Katzmanetal.(1989)describedcasesofcognitivelynormalelderly

womenwhowerediscovered(bymeansofpostmortemanalysis)

tohaveadvancedAlzheimer’sdiseasepathologyintheirbrains.

Stern (2002,2003) andScarmeas andStern (2003)proposethe

conceptofcognitivereservetoexplainthisapparentabsenceofa

directrelationshipbetweentheseverityofthefactorthatdisrupts

performance(suchasthedegreeofbrainmodificationwithage,

orbrainpathologyassociatedwithAlzheimer’sdisease)andthe

degreeofdisruptioninperformanceorofdysfunctionindailylife

activities.Thissuggeststhatsomeindividualsareabletomore

effi-cientlyusetheircognitiveresourcesandarethuslesssusceptibleto

disruptionintheircognitivefunctioning.Individualheterogeneity

maystemfrominnateorgeneticdifferences,orfromdifferentlife

experiences,suchasoccupationalattainmentorleisureactivities.

Thedegreeofresiliencetothesebiologicalchanges,i.e.the

cog-nitivereserve,hasbeenfoundtodependonseveralfactors.Among

these,educationundoubtedlyplaysanimportantrole(Evansetal.,

1993; LeCarret etal., 2003).Moreover,differential

susceptibil-itytoage-relatedcognitivedeclineortoAlzheimer’sdiseasehas

alsobeenshowntoberelatedtooccupation(Evansetal.,1993;

Letenneuretal.,1994;Schooleretal.,1999;Sternetal.,1994),

pro-fessionalorleisureactivities(Capursoetal.,2000;Scarmeasetal.,

2001;Wilsonetal.,2002;NewsonandKemps,2005),andlifestyle

(forareview,see:Fillitetal.,2002;andFratiglionietal.,2004).

Insummary,thisliteraturesuggeststhatindividual

heterogene-ityinthelevelofcognitivefunctioningandtherateofage-related

changeincognitivefunctioningisassociatedwithanindividual’s

lifestyle,suchashis/herengagementinmentallystimulating

activ-ities (Salthouse,2006).Thishypothesis is quiteappealing,as it

suggeststhatindividualshavesomecontrolovertheevolutionof

theircognitivefunctioning,andthatthereisscopeforpolicy

inter-ventions,mainlyinthefieldofactiveageingpoliciespromoting

participation(WHO,2002),toaffectthepatternofcognitiveageing.

However,thewaythecausalityrunsbetweenactivitiesandthe

brainremainsanopenquestioninneuropsychology.Doactivities

improvecognitivefunctioningorarebrighterpeoplemoreoften

engagedincognitivelydemandingactivities?Whilethereissome

kindofconsensusregardingtheeffectofcognitivefunctioningon

activities,6theeffectofactivitiesoncognitivefunctioningismore

opentodebate.Oneargumentfavouringthislatterhypothesiscan

befoundintheneurobiologicalliterature,whereseveral

experi-mentalstudiesonanimalshaveshownthatratsbredinanenriched

environmentpresentagreaterdendriticdensityinthe

hippocam-pusandanincreasednumberofglialcellsthananimalsbredin

standard conditions(Rosenzweigand Bennett,1972).Moreover,

5Episodicmemoryreferstomemoryofinformationaboutspecificpastevents

thatinvolvedtheself(i.e.eventspersonallylived)andoccurredataparticulartime andplace(e.g.apreviousholiday).

6Severalstudieshaveshownthatcognitiveimpairmentisassociatedwithan

increaseinlimitationsonactivitiesofdailyliving(Agüero-Torresetal.,1998; Bennettetal.,2002;Moritzetal.,1995).

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Winocur(1998)showedthatthesebrainmodificationsaffectthe

cognitiveabilitiesofolderrats.Asecondargumentinfavourofthe

causaleffectofactivitiesoncognitivefunctioningcanalsobefound

instudiessuchasthatofMaguireetal.(2000),whichshowedthat

taxidriversinLondon,whohaddevelopedanintensiveknowledge

oforientationinthecity,hadasignificantlylargerposterior

hip-pocampithancontrolsubjects,andaboveall,thattheamountof

occupationalexperiencewascorrelatedwiththesizeofthe

hip-pocampus.Thosestudiessuggestthereforethatactivitieshavea

directeffectoncognitivefunctioning.

Theaimofourstudyistoaddressthecausalimpactoflifestyle

onthecognitivefunctioningofolderpeoplebyfocusingonthe

relationshipbetweencognitivefunctioningandretirement.Indeed,

retirement implies major changes in individual lifestyle and is

likely toaffectinvolvementin activitiesthatmaycontributeto

maintaining, orimproving,cognitivefunctioningatolderage.If

individualshaveonaveragemorecognitivelystimulating

activi-tiesatworkthanduringretirement,wewouldexpectadecline

incognitivefunctioningduringretirementduetothedecreasein

stimulatingactivities,assuggestedbytheneuropsychological

lit-erature.

3. Empiricalstrategy

Theaimoftheempiricalanalysisistotestthehypothesisthat

retirementaffectscognitivefunctioning.Inourmodel,weassume

thatcognitivefunctioning(cit),asmeasuredbythescoreobtained

atacognitivetest(describedbelow),dependsonretirementstatus

(rit)andasmoothfunctionofage(f(ageit)),alongwithanerrorterm

thatcanbedecomposedintounobservedtime-invariant

hetero-geneity(i)andanidiosyncraticerrorterm(i).Assuminglinear

separability,cognitivefunctioningisgivenbythefollowing

equa-tion:

Cit=ritˇ+f(ageit)+i+it, (1)

Identificationof thecausaleffect of retirementoncognitive

functioningrequires theerrortermtobemean independentof

retirement,age,andtheunobservedtime-invariantheterogeneity.

Thisrequirementisunlikelytohold:first,retirementandcognitive

functioningmaybeendogenous:decreasingcognitivefunctioning

mayinduceretirement.Second,individualheterogeneitymaybe

correlatedwithboththeretirementdecisionandcognitive

func-tioning.

The fixed effects (FE)estimator allows measurement of the

parameters ofinterest, controllingfor time-invariant individual

heterogeneity.Theeffectofretirementoncognitivefunctioning(ˇ)

willbeconsistentlyestimatedunlessitiscorrelatedtothe

retire-mentdecision.Thisrequirementisunlikelytoholdif,forexample,

retirementisinducedbyanegativehealthshockthatisalso

cor-relatedtocognitivefunctioning.Furthermore,theFEestimatesare

alsosusceptibletoattenuationbiasfrommeasurementerrorinthe

retirementvariable(GrilichesandHausman,1986).Wedealwith

thosetwoissuesbyusingIVmethods.Tobevalid,theinstruments

mustberelatedtotheretirementdecisionandcorrelatedto

cogni-tivefunctioningonlythroughtheeffectofretirement.Largespikes

intheretirementhazardatages62and65havebeenwellnoted

intheliterature,andfinancialincentivesinducedbysocial

secu-rityhavebeenfoundtoplayasignificantroleinexplainingsuch

spikes,especiallyatage62(BurtlessandMoffitt,1984;Peracchi

andWelch,1994;Ruhm,1995;GruberandWise,1999;Coileand Gruber,2001).WethususethesekeyretirementagesintheUnited

Statesasidentifyinginstrumentsfortheretirementdecision.Age

62representstheearliestageatwhichsocialsecuritybenefitscan

beclaimed and wherethefinancial incentives toretirearethe

strongest,whileage65isthenormalretirementageintheUS(i.e.

theageatwhichindividualscanreceivefullsocialsecuritybenefits

iftheyretireatthatage).Notethatthenormalretirementageis

settoincreasetoage67overa22-yearperiod;thisaffects

peo-plebornonJanuary2,1938,andlater. Notehoweverthatmost

ofindividualsinouranalyticalsamplearestillfacingthenormal

ageofretirementsetatage65orhadnotyetreachedthe

nor-malageofretirementduringthesampleperiod.Ouridentification

strategythusdoesnotheavilyrelyonthechangeintheretirement

ageacrosscohortsbutonthediscontinuityintheproportionof

retiredpeopleattheeligibilityageforsocialsecuritybenefitsand

thenormalageofretirement,conditionalonasmoothfunctionof

age.Theinstrumentalvariablesarethuscomputedastwodummy

variablesequalto1iftheindividualreacheseitherthe

correspond-ingage-thresholdsintheretirementequation,whilethecognitive

functioningequationincludesageasasmoothfunctionusing

low-orderpolynomials.Whilethesespecificagevaluesarelikelytohave

adirecteffectonthedecisiontoretire,itislesslikelythatthey

haveaparticulareffectoncognitivefunctioning,exceptthrough

retirement.

Identifyingthecausaleffectofretirementoncognitive

func-tioninginvolvesanotherissue:theeffectofchangesinlifestyleon

cognitivefunctioningmaynotbeimmediate.7Indeed,itisunlikely

thatretirementhasaninstantaneousimpactoncognitive

function-ing.Wemightexpectthattheeffectofachangingenvironment

wouldoccurwithalag.Cognitivefunctioningshouldthereforebe

modelled,notasafunctionofcurrentenvironmentalvariables,but

withalag.Asaresult,thecognitivefunctioningequationshould

includeasanendogenousvariableadummyforbeingretiredforat

leastoneyear,andtheinstrumentsshouldthenbecomethreshold

dummiesforreaching63yearsandthenormalageofretirement

plusone.The empirical strategy consistsfirst of estimating Eq.

(1)usingthetwo-stageleastsquaresFEestimatorwiththeseage

thresholddummiesasinstrumentsforbeingretiredforatleastone

year.

There are at least two explanations as to why we should

expect the effect of retirement not to be instantaneous. First,

wemight expectthat thechanges in activitieswould translate

onlyprogressivelyintochangesincognitivefunctioning.Asecond

potentialexplanationcomesfromthegerontologicalliteraturethat

describesthedifferentphasesofretirement.Atchley(1976,1982)

hassuggestedthatretireesmayexperiencea“honeymoonphase”

followingretirement,whichischaracterisedbyaperiodinwhich

theindividualengagesindifferentactivitiesthathe/shehasputoff

foryearsbecauseofwork-relatedconstraints.Thisengagementin

desiredactivitiesmayattenuatethenegativeeffectofretirement

oncognition.8

Moreover,theeffectofretirementoncognitivefunctioningmay

alsobeacumulativeprocesswheretheeffectofbeingretiredwould

alsodependontheexposuretoretirement,i.e.theperiodoftime

sincetheindividualretired.9Thislastpointiscrucialintermsofthe

consequencesofretirementreformsaimedatincreasingtheageof

retirement.Ifretirementsimplyhasaconstanteffectoncognitive

functioning,wewouldnotexpectanincreaseinretirementage

tohavemuchimpactonthedependencyoftheelderlybecauseof

cognitiveimpairmentatolderage.If,however,theimpactis

cumu-lative,thenanincreaseintheageofretirementmayresultinan

7 ThispossibilityhasalsobeenstressedbyRohwedderandWillis(2010). 8 Thisphasehas,tosomeextent,beenverifiedempirically(e.g.Georgeand

Maddox,1977;Ekerdtetal.,1985;Galletal.,1997).

9 Therearesomedescriptiveevidenceforsuchacumulativeeffect(Adametal.,

2007a).MazzonnaandPeracchi(2010)alsotakeintoaccountretirementduration intheirmodel.

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improvementincognitivefunctioninglaterinlife.So,anincrease

intheageofretirementwouldprobablydelaytheappearanceof

cognitiveimpairmentatolderage,andthusdecreaselong-term

careexpenditures.

4. Data

4.1. TheHealthandRetirementStudy

Ourempiricalanalysisusessixwaves(1998–2008)fromthe

HealthandRetirementStudy(HRS).10TheHRShasbeen

follow-ingasampleofAmericansbornbetween1931and1941andtheir

partners since 1992. Since 1998, this survey has also included

respondentsfromtheAssetandHealthDynamicsAmongtheOldest

Old(AHEAD)study(cohortsbornbetween1890and1923),anda

representativesampleofindividualsbornbetween1924and1930

(theChildrenoftheDepressionAge)andbetween1942and1947

(WarBabies).Anadditionalsampleofindividualsbornbetween

1948and1953(EarlyBabyBoomers)wasaddedin 2004.Most

interviewswere carried out by telephone, although exceptions

weremadewhentheindividualhadhealthlimitationsorwhen

thehouseholdhadnotelephone.Thedatacontainawiderangeof

informationaboutmentalandphysicalhealth,employmentstatus,

financialsituation,thefamily,andactivitiesoftherespondents.

In ourstudy, werestricted the sampleto respondentsaged

between51 and 75 (82,462 observations). We excluded proxy

interviews from the analysis, as the memory test was not

performedbythoseindividuals(5807observations).Where

infor-mationregardingtheworkingstatusofparticipantswasmissing

from the HRS data (101 observations) or where respondents

reportednever having worked(2473 observations),these

indi-vidualswerealsodroppedfromtheanalyticalsample.Moreover,

allindividualswhoreportedreturning toworkduringthe

sam-plingperiodweredroppedfromthestudy(11,240observations).11

Including those individuals in the sample would require the

assumptionthattheeffectoncognitivefunctioningofleavingthe

labourforceorgoingbackintothelabourforcewouldbe

symmet-ric.Moreover,wecouldarguethatindividualsgoingbacktowork

aremorelikelytoremainactiveinthelabourmarket(e.g.

look-ingforajob)duringtheirnon-workingperiod.Wealsoexcluded

fromtheanalysisindividualsforwhomtheinformationregarding

theyeartheylefttheirlastjobwasmissing(3575observations).In

addition,weexcludedfromthesampleindividualswhoreported

havinglefttheirlastjobbeforetheageof50(4334observations).

Individualswithamissingcognitivescoreweredroppedfromthe

sample(555observations).Thefinalsamplecorrespondedtoan

unbalancedpanelincluding54,377observationsfor14,710

indi-viduals.

4.2. Themeasureofcognitivefunctioning

TheHRScontainsmeasuresofcognitivefunctioningbasedon

simpletests.OurempiricalanalysisusingtheHRSfocusesonone

keycognitivedomain:episodicmemory,whichisassessedthrough

atestofverballearningandrecall.Themotivationforanalysingthis

particularcognitivedomainistwofold:first,thiscognitiveaspect

isparticularlyaffectedbyageing;somestudiesevenarguethat

thiscognitivefunctionisamongthefirsttodeclinewithageing

(Souchayetal.,2000;AndersonandCraik,2000;Prulletal.,2000).

10TheHRSissponsoredbytheNationalInstituteofAging(grantnumberNIA

U01AG009740)andisbeingconductedbytheUniversityofMichigan.

11 Weassessthesensitivityofourresultstotheinclusionofthoseindividualsin

thesampleinSection5.4.3.

Second,therelatedmeasureusedtoassessepisodicmemory,i.e.

thescoreobtainedinatestofwordlearningandrecall,doesnot

sufferfromfloororceilingeffects(excessofmaximumor

mini-mumvalues),anditthusprovidesamoresensitivemeasurethan

othermeasuresofcognitivefunctioningthatonlyallowforlimited

variabilityinscores.IntheHRS,theepisodicmemorytaskconsists

oflearningalistoftencommonwords.12Theinterviewerreads

alistof10words(e.g.book,child,hotel,etc.)totherespondent,

andaskstherespondenttorecallasmanywordsaspossiblefrom

thelistinanyorder.Followingthis,immediateanddelayedrecall

phasesarecarriedout.Immediaterecallfollowsdirectly,whilea

shortintervalisinsertedbeforethedelayedrecall.Memoryscore

forthistaskiscalculatedbythesumofthenumberoftargetwords

recalledattheimmediaterecallphaseandthenumberoftarget

wordsrecalledatthedelayedrecallphase(scorerangingfrom0

to20).Thememoryscorehasadistributionclosetothenormal

distributionwithasamplemeanof10.6andastandarddeviation

of3.4.

4.3. Theretirementvariable

Therearemanydefinitionsofretirement.Forthepurposeof

ouranalysis,wefollowLazear(1986)anddefineanindividualas

beingretiredifhe/sheisdefinitivelyoutofthelabourforcewith

theintentionofstayingoutpermanently.AkintoCoeandZamarro

(2011),MazzonnaandPeracchi(2010),andRohwedderandWillis (2010),anindividualisdefinedas“Working”ifhe/sheclaimsto

becurrentlyworkingforpayand“Retired”ifhe/shereportsnot

working.13HRSalsoincludesinformationabouttheyearandthe

monththeindividual’slastjobended,andweusethistomeasure

retirementdurationandthedummyvariablereportingwhether

theindividualhasbeenretiredforatleastoneyear.

5. Results

5.1. Mainresults

BeforeturningtotheIVestimation,wewillfirstdescribe

retire-ment behaviourand theprofileofcognitivefunctioningaround

the key ageof retirement in theUnited States. Fig.1 presents

theestimatedcognitivetestscoresbyagefrom55to70 years,

controlling for individual fixed effects. This figure highlights a

significantdeclineincognitivescoresaftertheageof62,which

correspondstotheminimumageatwhichsocialsecuritybenefits

canbeclaimed.Fig.2presentstheestimatedretirement

probabil-itychanges(Fig.2a)andcognitivetestscorechanges(Fig.2b)as

individualsbecomeoneyearolderbetweentheagesof55and70,

controllingforindividualfixedeffects.14Asexpected,weobserve

12Notethat,inpractice,theHRSusesfourdifferentlistsofcommonwordsand

thatrespondentsareaskedadifferentlistofwordsfromtheliststhatthey,andtheir spouse,hadtoanswerduringthepreviouswave.Thisisdoneinordertoavoidthe respondentrememberingthewordsfromthatpreviouslist.Thereisevidenceof suchalearningeffectwiththefirsttwowavesoftheHRS,whereindividualswere askedtorecallthesamelistofwords.

13Inoursample,thevastmajorityofnon-workingindividualsreportbeingretired

(86.3%).8.2%reportbeingoutofthelabourforce,3.9%reportbeingdisabled,0.8% reportbeingunemployed,and0.8%reportbeingpartlyretired(althoughtheyreport notworkingforpay).Thusstrictlyspeaking,ourstudyanalysestheeffectofnot workingforpayatolderages.

14Morespecifically,weestimatethefollowingmodel:y it=˛i+

70



a=56

adait+it,

whereyitiseithertheretirementdummy,orthecognitivetestscore,dait=1[ageit≥

a],˛iistheindividualfixedeffect,anditistheerrorterm.Fig.2reportstheestimates

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9. 5 10 10. 5 11 11. 5 12 Cogni ti ve s core 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 Age

Fig.1.Age profileofcognitivetestscore.Note:HealthandRetirementStudy 1998–2008.Theestimatesarebasedonafixed-effectmodelincludingagedummies asexplanatoryvariables.

asignificantincreaseintheprobabilityofretiringatage62.We

alsoobserveasmallincreaseintheprobabilityofretiringatage65

and66,theageatwhichfullsocialsecuritybenefitscanbeclaimed

(dependingonthecohort),butthisincreaseisfarlessimportant

thanforage62.Strikingly,Fig.2bhighlightsasignificantdropin

cognitivescoresfromage62to63.Wealsoobserveasignificant

dropatage66and67,butthesedropsaremuchlowerin

mag-nitude.Thereisnobiologicalreasonforchangesintheprocessof

cognitivedeclineatthoseparticularages.Ageingisalong-term

pro-cessandisnothomogeneousacrossindividuals.Theevolutionof

averagecognitivefunctioningshouldthusbeacontinuousfunction

ofage.Thesefiguressuggestshoweverthatthereisasignificant

decreaseincognitivefunctioningafterreachingtheminimumage

ofeligibilityforreceivingsocialsecuritybenefits,whichalso

corre-spondstothepeakageofretirementintheUnitedStates,asshown

inFig.2a.Thisfirstdescriptiveresultsupportsourhypothesisthat

retirementisaccompaniedbyadeclineincognitivefunctioning

andthatthisdeclineisnotlikelytooccurimmediatelyatthetime

ofretirement.

Inlightofthosepreviousresults,weconsideranFE-IV

estima-torwheretheendogenousvariableisadummythatisequaltoone

whentheindividualhasbeenretiredforatleastoneyear.Asa

con-sequence,weuseasinstrumentsage-thresholddummyvariables

forreachingtheminimumageforbeingeligibleforsocialsecurity

benefitsplusone(63years)andthenormalretirementageplus

one(normalretirementagedependingonthecohortconsidered).

TheFE-IVestimatorusesonlythedummyforbeingretiredforat

leastoneyearasanendogenousvariableandthusdoesnottake

intoaccountretirementduration.Sothecoefficientrelatedtothe

retirementvariableintheFE-IVmodelhastobeinterpretedasthe

averageshorttermeffectofretirementoncognitivefunctioning,

whichroughlycorrespondsinoursampletoawithinaverageeffect

ofabout5yearspostretirement.Second-orderpolynomialsofage

areincludedascontrolsinordertoaccountforthe“normal”

cog-nitiveageingprocess.Theeffectofageisassumedtobequadratic,

allowingcognitivefunctioningtodeclineatanincreasingratewith

ageing.Thenextsectionwilldiscussthesensitivityofourresults

todifferentfunctionalformsfortheagetrend.

Table1presentstheparameterestimatesofthemodel

esti-mated by the two-stage least squares within estimator. The

coefficientsofthefirst-stageequationdescribingtheprobability

ofbeingretired(forat leastoneyear) aredisplayedin column

(i).Theinstruments,i.e.theeligibilityages(plusone)forsocial

security,havelargeandhighlysignificanteffectsonthe

probabil-ityofbeingretiredforatleastoneyear.Thisprobabilityincreases

by about 10.8 percentage points at age 63 and by 6.8 points

whenbeingstrictlyolderthanthenormalretirementage.The

F-testofjointsignificance oftheinstrumentsproposedbyBound

etal. (1995) confirms thatthe instrumentsare significant

pre-dictorsofretirement(F(2,12,361)=193.05).TheSargan–Hansen

testofoveridentifyingrestrictiondoesnotrejectthehypothesis

that ourinstruments are valid. Column (iii) presents the

coef-ficient estimates of the reduced-form regression that includes

0 .02 .04 .06 .08 .1

Changes in retirement probability 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70

Age

a

-.6 -.4 -.2 0 .2

Changes in cognitive score

55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70

Age

b

Fig.2. Changesinretirementprobabilityandchangesincognitivetestscoresbyage.Note:HealthandRetirementStudy1998–2008.Allrespondentswereagedbetween55 and70.Thefiguresshowthecoefficientestimatesandthecorresponding95%-confidenceinterval(verticalgreylines)fromthefollowingmodel:yit=˛i+

70



a=56

adait+it,

whereyitiseithertheretirementdummy,orthecognitivetestscore,dait=1[ageit≥a],˛iistheindividualfixedeffect,anditistheerrorterm.Thefiguresreportthe

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Table1

Cognitivefunctioningandretirement.FE-IVestimates.

Retiredforatleastoneyear Cognitivescore

Firststage(i) FE(ii) Reducedform(iii) IV(iv)

Retiredforatleastone

year – −0.148*** −0.942*** (0.049) (0.339) Instruments >62yearsold 0.108*** −0.100** (0.007) (0.044) >Normalageof retirement 0.068*** −0.067 (0.006) (0.046) Controls Age 0.021*** 0.457*** 0.458*** 0.478*** (0.006) (0.045) (0.047) (0.046) Age2 0.001 −0.047*** −0.046*** −0.046*** (0.000) (0.004) (0.004) (0.004)

Testofoveridentifyingrestriction(p-value) 0.944

Durbin–Wu–Hausmantest(p-value) 0.017

Within-R2 0.242 0.045 0.045

N 54,377 54,377 54,377 54,377

Note:HealthandRetirementStudy1998–2008.Allrespondentswereagedbetween51and75.Robuststandarderrorsareinparentheses.

*Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe10%level. **Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe5%level. ***Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe1%level.

onlythesecond-orderpolynomialinageandtheinstrumentsas

explanatoryvariables.Thecoefficientsrelatedtotheage

thresh-oldssuggestthatthereisadropatthosespecificages,especially

atage63,inaccordancewiththeresultspresentedinFig.2b.More

interestingly,therelativedifferenceinthecoefficientestimates

betweenthetwoinstrumentsinthefirst-stageequationisabout

thesameastherelativedifferenceobservedinthereduced-form

equation.

Theeffectonmemoryscoreofbeingretiredforoneyearormore

isnegativeandhighlysignificant(seecolumn(iv)).Thissuggests

thatindividualsretiringexperienceadropincognitivetestscore

byabout 1 point(coefficient estimate: −0.942; 95%-confidence

interval−1.61to−0.28).Thiscorrespondstoabouta10%decrease

incognitivescore(comparedtothesampleaveragescore).15The

estimateislargerthaninthemodelthatassumesexogeneityof

retirement(seecolumn(ii)).TheDurbin–Wu–Hausmantestrejects

thenullhypothesis ofexogeneityofretirementatthe5%-level.

Thismightbeexplainedbyseveralreasons:First,thepresenceof

measurementerrorsintheretirementvariablesarelikelytobias

downwardthewithinestimates.Furthermore,theeffectof

retire-mentoncognitivefunctioningislikelytobeheterogeneous.Asa

result,theIVestimatesidentifyaLocalAverageTreatmentEffect

(ImbensandAngrist,1994):theeffectofretirementforthosewho

effectivelyretireatthosespecificages.Bycontrast,theFE

estima-torestimatestheaverageeffectofbeingretiredforallthosewho

haveretiredduringthesampleperiod.Onepotentialexplanation

forthedifferencebetweentheFEestimatorandtheFE-IV

estima-toristhattheFEestimatoralsotakesintoaccounttheeffectof

15 Wehavealsoestimatedthemodelformenandwomenseparatelyandfound

nosignificantdifferenceintheeffectofretirementbetweenmenandwomen. Notehoweverthatthecoefficientestimateislargerformen(coefficientestimate: −1.210;standarderror:0.437)thanforwomen(coefficientestimate:−0.726; stan-darderror:0.514),thelatterbeingnotsignificantlydifferentfromzero.Underother modelspecificationsthecoefficientestimateforwomenisnegativeandsignificantly differentfromzerobuttheeffectmoresalientformen.Apotentialexplanationof thiswouldbethatthetransitionbetweenprofessionalactivityandretirementis steeperformencomparetowomen:menbeingmorework-centeredthanwomen, whilefamilycentralityishigheramongwomenthanamongmen(Mannheim,1993; SharabiandHarpaz,2011).Thisinterpretationremainshoweverspeculativeand openforfurtherresearch.

retirementforindividualswhohadbeenworkingforafewhours

perweek,orhadalreadybeenpartiallyretired.Forthose

individ-uals,wemightexpectthattheeffectofthistransitiononcognitive

functioningmightbemuchlowerthanforfull-timeworkerswho

retiremore“sharply”.Thissharperchangeinworkintensityisalso

morelikelytooccuratthosespecificeligibilityages,especiallyat

theminimumageforbeingeligibleforsocialsecuritybenefitsas

manyworkershadbeen“constrained”towaitforthisagebefore

beingabletoaffordtoretire.Asanillustration,wecomparedthe

averagenumber ofhoursworkedbyindividualswho retiredat

thosespecificagestothosewhoretiredatanotherageduringthe

samplingperiod.Controllingforalinearagetrend,wefoundthat

thosewhoretiredatthosespecificageswereworking,onaverage,

about2hmorethanindividualswhoretiredatanotherage.Finally,

itshouldbenotedthatthisidentifiedlocalaverageeffectisof

par-ticularinterestforpolicymakersasitcorrespondstotheeffectof

retirementoncognitivefunctioninginducedbytheeligibilityage

forretirement,whichisthemaintoolusedbymanycountriesto

increaselabourforceparticipationofolderworkers.

5.2. Functionalformfortheagetrend

Ouridentificationstrategyisbasedonage-relatedinstruments

anditmaythereforedependonthefunctionalformadoptedto

con-trolforthe“normal”cognitiveageingprocess.Inthissection,we

testtherobustnessofourresultsbytestingfourdifferentfunctional

formsforage.Weadoptfourspecificationsforagetrend:linear,

quadratic,cubic,andquartic.TheresultsfromtheFE-IVestimators

arepresentedinTable2.Fromthistable,weseethatthecoefficient

estimatesofbeingretiredforatleastoneyeararequite

insensi-tivetothefunctionalformadopted,althoughthestandarderrors

increasesubstantiallyonceweusethecubicandquarticfunctional

formforage.Themodelwiththelinearspecificationistheonly

onetofailtopasstheoveridentificationtest,suggesting

misspec-ification.Thisconfirmstheimportanceoftakingintoaccountthe

factthatcognitivedeclineduetoageingtendstobefasteratolder

age.Notealsothatforthecubicandquarticspecification,noneof

thecoefficentestimatesrelatedtothepolynomialsinageare

sig-nificant.Theseresultssuggestthatthequadraticspecificationis

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Table2

Cognitivefunctioningandretirement.FE-IVestimates.Testsfordifferentfunctionalformsforage.

Cognitivescore

(i) (ii) (iii) (iv)

Retiredforatleastone

year −1.121*** −0.942*** −0.960 −0.924 (0.340) (0.339) (0.671) (0.680) Age −0.096*** 0.478*** 0.437 −3.217 (0.014) (0.046) (1.111) (6.782) Age2/10 −0.046*** −0.039 0.842 (0.004) (0.180) (1.631) Age3/100 −0.000 −0.094 (0.009) (0.174) Age4/1000 – – – 0.004 (0.007)

Testofoveridentifyingrestriction(p-value) 0.000 0.944 0.941 0.830

Durbin–Wu–Hausmantest(p-value) 0.004 0.017 0.216 0.241

N 54,377 54,377 54,377 54,377

Note:HealthandRetirementStudy1998–2008.Allrespondentswereagedbetween51and75.Robuststandarderrorsareinparentheses.

*Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe10%level. **Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe5%level. ***Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe1%level.

5.3. Cognitivefunctioningandretirementduration

Theanalysisuntilnowhasmodelledtheeffectofretirementasa

discretechangeincognitivefunctioningoccurringwithalag.

How-ever,thelengthofexposuretoretirementmayalsoaffectcognitive

functioning.In otherwords,retirementmayhave acumulative

effectandthiswouldimplythatcognitivefunctioningdependsnot

onlyonthestatusofworking/beingretiredbutalsoonthelengthof

theretirementperiod.ThispossibilityhasalsobeenraisedbyAdam

etal.(2007a)andMazzonnaandPeracchi(2010).Wethus

reformu-lateourIVapproachbytakingretirementdurationasendogenous

variableandtesttwospecificationswheretheeffectofretirement

durationiseitherassumedtobelinearorlogarithmic16andusing

asinstrumentsthetimeperiodsincetheindividualreachedthe

ageof62yearsandthetimeperiodsincetheindividualreached

thenormalageofretirement,eitherinlinearorlogarithmic

speci-fication.

Tables3and4presentstheresultsofthemodelusingthelinear

andlogarithmicspecification,respectively.Thecoefficientestimate

ofretirementdurationforthelogarithmicspecificationis

nega-tiveandsignificantatthe5%-leveland supportsthehypothesis

thatretirementdurationmayalsoplayaroleintheevolutionof

cognitivedeclineatolderage.Regardingthelinearspecification,

theIVestimateofthecoefficientrelatedtoretirementdurationis

notsignificant,suggestingthatthedatadonotfitwiththelinear

specification.

Asanillustration,wecomputethepredictedcognitivetestscore

usingourestimatesfromcolumn(iii)inTable3fortwo

hypotheti-calindividuals:oneindividualretiringat62yearsoldandtheother

oneretiringat65yearsold.Fig.3illustratestheevolutionof

cogni-tivefunctioningforthosetwoindividuals.Itshowsthatmostofthe

dropincognitivefunctioningoccursatthebeginningofretirement,

asaresultofthelogarithmicspecification.Itthussuggeststhatthe

differenceincognitivefunctioningbetweentheearlyandthelate

retireesislikelytoberelativelysmallatlaterstageofthe

retire-mentperiod.Theseresultsthussupportourpreviousfindingsthat

mostofthedropincognitivefunctioningduetoretirementoccurs

16Notethat,inordertotakeintoaccountthedifferingeffectofretirementon

cognitivefunctioning,wesetthelogarithmofretirementdurationtozerofor indi-vidualswhowerestillworkingorwhohadbeenretiredwithintheyear.Notealso thatoneunityhasbeenaddedtoretirementduration(andthetimeperiodsince theindividualreachedtheageof62years/thenormalageofretirement)before transformingittolog.

atthebeginningoftheretirementperiodandtendstostabilise

afterwards.

5.4. Robustnesschecks

5.4.1. Thedelayedeffectofretirementoncognitivefunctioning

Assuggested by Figs. 1 and 2, our main empirical analysis

assumesthattheretirementeffectoncognitivefunctioningislikely

tooccurwithadelay,eitherbecausetheenvironmentalchanges

do not affectinstantaneously cognitive functioning, orbecause

the“honeymoon”effect ofretirementmay attenuatethe

nega-tiveeffectofretirement.Ourmodelthusassumesthatcognitive

functioningremainsstableforindividualsretiredwithintheyear

(i.e.itassumesthatcognitivefunctioningofnewlyretired

individ-ualsisthesameasforworkers).Itishoweverpossiblethatthe

honeymooneffectprovidesaninstantpositiveboosttocognitive

functioning,perhapsbyanimmediatereductioninjobstress,that

wouldincreasethelevelofcognitivefunctioningabovethelevel

oftheworkers.Thispotentialeffectmayhaveconsequencesfor

ouridentificationstrategyasthecontrolgroupforthoseretiredfor

morethanoneyearisnotonlyworkersbutactuallyaweighted

averageofworkersandrecentlyretiredindividuals.Intheextreme

case,thenegativeandsignificanteffectofbeingretiredformore

thanoneyearfoundinourmodelmaysimplybeareturntothe

pre-retirementlevelsandnotareductionrelativetoworking.In

ordertotestforthispotentialbias,were-estimatedourmodeland

7 8 9 10 11 12 13 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51

Predicted cognitive score

Age

Retire at 62 years old Retire at 65 years old

Fig.3. Predictedageprofileofcognitivefunctioning.Note:Thisfigureillustratesthe effectofretirementoncognitivefunctioningoftwohypotheticalindividualswho onlydifferwithrespecttotheirretirementage.Theageprofilesarebasedonthe coefficientestimatesreportedincolumn(iii)ofTable3.

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Table3

Cognitivefunctioningandretirementduration(logarithmicspecification).FE-IVestimates.

Log(retirementduration+1) Cognitivescore

Firststage(i) FE(ii) Reducedform(iii) IV(iv)

Log(retirement

duration+1)

– −0.138*** –0.567**

(0.036) (0.238)

Instruments Log(yearssinceage 62+1)

0.135*** –0.072*

(0.009) (0.039)

Log(yearssincenormal ageofretirement+1) 0.090*** –0.059 (0.010) (0.047) Controls Age –0.118*** 0.418*** 0.370*** 0.309*** (0.012) (0.046) (0.063) (0.076) Age2 0.015*** −0.043*** –0.039*** −0.031*** (0.001) (0.004) (0.005) (0.008)

Testofoveridentifyingrestriction(p-value) 0.845

Durbin–Wu–Hausmantest(p-value) 0.068

Within-R2 0.523 0.045 0.045

N 54,377 54,377 54,377 54,377

Note:HealthandRetirementStudy1998–2008.Allrespondentswereagedbetween51and75.Robuststandarderrorsareinparentheses.

*Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe10%level. **Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe5%level. ***Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe1%level.

Table4

Cognitivefunctioningandretirementduration(linearspecification).FE-IVestimates.

Retirementduration Cognitivescore

Firststage(i) Reducedform(ii) IV(iii)

Retirementduration – – −0.072

(0.127) Instruments

Yearssinceage62 0.120*** −0.027

(0.020) (0.023)

Yearssincenormalage ofretirement 0.120*** 0.006 (0.019) (0.021) Controls Age −1.333*** 0.367*** 0.284 (0.098) (0.137) (0.302) Age2 0.132*** −0.039*** −0.031 (0.009) (0.012) (0.028)

Testofoveridentifyingrestriction(p-value) 0.308

Durbin–Wu–Hausmantest(p-value) 0.729

Within-R2 0.636 0.045

N 54,377 54,377 54,377

Note:HealthandRetirementStudy1998–2008.Allrespondentswereagedbetween51and75.Robuststandarderrorsareinparentheses. *Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe10%level.

**Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe5%level. ***Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe1%level.

includedasadditionalendogenousvariableadummyvariablethat

isequaltooneiftheindividualisretiredforlessthanoneyearand

zerootherwise.Therelatedinstrumentsareonedummyvariable

forbeing62year-old,andadummyvariableforbeingagedthe

ageofeligibilityforfullretirementbenefits.Giventhisnew

spec-ification,thecontrolgrouponlyincludesworkingindividuals,the

dummyforbeingretiredwithintheyearcapturestheimmediate

effectofretirementoncognitivefunctioning,andthedummyfor

beingretiredformorethanoneyearcapturestheaverage

short-termeffectofretirement,themainvariableofinterest.Table5

presentstheresults.Thecoefficientestimateofthedummyvariable

forbeingretiredwithinoneyearispositivebutwithlarge

stan-darderrorprecludinganyinterpretation.17Moreimportantly,the

17 Wehavealsotestedthisspecificationforthemodelthatusesthelogarithmof

retirementdurationinsteadofthedummyforbeingretiredformorethanoneyear

coefficient estimate for being retired for more than one year

remains negativeandsignificant,andclosetoourmainresults,

although slightly lower in magnitude. Thisresult supports our

hypothesisthatretirementhasanegativeeffectoncognitive

func-tioningandthatthiseffectisunlikelytobeinstantaneous.18

Anotherrobustness check consistsin assessingthe

sensitiv-ityofourresultstothechoiceofthedelaybetweenretirement

anditsimpactoncognitivefunctioning.Fig.4presentsthe

coeffi-cientestimateoftheeffectofretirementoncognitivefunctioning

usingdifferentdelayperiodfrom0months(instantaneouseffect)

andfoundsimilarresultsasthosepresentedinTable3.Thoseresultsareavailable uponrequest.

18ThisprovidesapotentialexplanationfortheimprecisenessofCoeandZamarro’s

(2011)IVestimateoftheeffectofretirementoncognitivefunctioningobtainedby applyingaregressiondiscontinuitydesignwherethethresholdpointsareset,atthe countrylevel,attheearlyandstatutoryretirementage.

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Table5

Cognitivefunctioningandretirement(controllingforthoseretiredwithintheyear).FE-IVestimates.

Retiredwithinayear Retiredforatleastoneyear Cognitivescore

Firststage(i) Firststage(ii) Reducedform(ii) IV(iii)

Working – – – –

Retiredwithintheyear – – – 0.330

(0.921)

Retiredforatleastone

year

– – – −0.846**

(0.373) Instruments

Being62yearsold 0.055*** 0.022*** −0.022

(0.007) (0.008) (0.059)

Beingthenormalageof retirement 0.022*** 0.027*** 0.030 (0.006) (0.007) (0.058) >62yearsold −0.004 0.110*** −0.115** (0.005) (0.007) (0.051) >Normalageof retirement −0.012*** 0.079*** −0.061 (0.004) (0.007) (0.050) Controls Age 0.036*** 0.017*** 0.461*** 0.460*** (0.003) (0.006) (0.048) (0.065) Age2 −0.003*** 0.001** −0.047*** −0.045*** (0.000) (0.001) (0.004) (0.005)

Testofoveridentifyingrestriction(p-value) 0.675

Durbin–Wu–Hausmantest(p-value) 0.069

Within-R2 0.009 0.242 0.045

N 54,377 54,377 54,377 54,377

Note:HealthandRetirementStudy1998–2008.Allrespondentswereagedbetween51and75.Robuststandarderrorsareinparentheses. *Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe10%level.

**Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe5%level. ***Meanthatthecoefficientestimateissignificantlydifferentfromzeroatthe1%level.

to24monthspostretirement(themodelwiththedelayfixedat

12monthscorrespondstotheIVmodelpresentedinTable1).The

resultsshowthatthecoefficientestimatesremainsignificantat

the5%-levelformostofthedelaychosen,evenfortheimmediate

effect.Howevertheeffectismoresalientwhenthedelayisfixedat

aboutoneyearafterretirement,thelargesteffectbeingidentified

-2 -1. 5 -1 -. 5 0 Bet a c oe ffic ie nt 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Number of months post retirement

Fig.4. Sensitivityanalysisonthedelayedeffectofretirementoncognitive func-tioning.Note:HealthandRetirementStudy1998–2008.Allrespondentswereaged between51and75.TheblackdotscorrespondtothepointestimatesoftheIV modeloftheeffectofretirementoncognitivefunctioning(Eq.(1))usingdifferent delayperiods(from0to24months)betweenretirementanditsimpactoncognitive functioning.Theverticalbarsrepresenttherespective95%confidenceinterval.

foradelayof14months.19Thoseresultsconfirmthattheeffectof

retirementoncognitivefunctioningislikelytooccurwithadelay

ofaboutoneyearpostretirement.

5.4.2. Othermeasuresofcognitivefunctioning

Ourresultsarebasedononesinglecognitivetask(i.e.ataskof

wordrecall),whichcallsintoquestionthegeneralisabilityofour

resultstothewholecognitivefunctioning.Nevertheless,itiswidely

recognisedthatwordrecalltestsinvolveabroadnetworkofbrain

regions(i.e.frontalregions,hippocampus,etc.;Desgrangesetal.,

1998;Tulving,2002)andthatthiskindoftaskismulti-determined,

i.e.itimpliesavarietyofothercognitivefunctionssuchaslanguage,

attentionandexecutivefunctioning(Tulving,2002).

Although HRS includes several other measures of cognitive

functionning,20mostofthemareonlyaskedtoindividualsbeing65

year-oldorolderandthusarenotsuitedforourstudy.Thereis

how-everanothermeasureofcognitivefunctioningthatcanbeusedfor

ouranalysis.Thismeasureisbasedontheserial7subtractionfrom

100(uptofivetimes):Individualsareaskedtosubtract7fivetimes

from100.Thistestisaimedtoassessworkingmemory,i.e.the

abil-itytoactivelyholdinformationinthemindneededtodocomplex

taskssuchasreasoning,comprehensionandlearning.Themeasure

rangesfrom0to5.21Thecoefficientestimateofbeingretiredfor

oneyearormoreisnegativeandsignificantconfirmingour

pre-viousresults(coefficientestimate:−0.279;standarderror:0.126).

19 Weobservethatthecoefficientestimatetendstobecomelowerinmagnitude

whenallowingforlongerdelaysbecausethecontrolgroupincludesthenindividuals thatarealreadyaffectedbycognitivedeclineduetoretirement.

20 Foranoverviewoftheavailablemeasuresofcognitivefunctioning,seeFisher

etal.(2009).

21 Notethatwetreatananswerascorrectwhentheindividualcorrectlysubtracts

7fromthelastnumberhereported,notonlythetheoreticalone(itmeansthatif theindividualreported92inthefirstround,and85inthesecondround,thesecond answerisconsideredascorrect).

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Furthermore,themagnitudeoftheeffectsonthewordrecalltest

andtheserial7subtractiontestareclosetoeachother:theeffect

onthenormalisedwordrecalltestscorecorrespondsto−0.278

(standarderror:0.100)whiletheeffectonthenormalisedserial7

subtractionscoreis−0.230(standarderror:0.104).22

5.4.3. Thesampleselection

Theanalyticalsampleexcludesindividualswhoareobserved

goingbacktoworkduringthesurvey period.Asa result,

non-workingindividualsinoursamplearethemostlikelytofittothe

definitionofretirement:apermanentwithdrawalfromthelabour

force.Thesampleselectionmighthoweverleadtoaselectionbias

ifforexampleindividualsdonotfinda jobanymorebecauseof

theirlowercognitivefunctioning.However,thoseindividualsare

alsolikelytobemoreactivethanpermanentlyretiredindividuals

giventheyaremorelikelytoactivelylookforajob.Wewouldthus

expectthatthoseindividualsarelesslikelytobeaffectedduring

thistransitionperiod.Weperformedseveraltestsinordertocheck

thesensitivityofourresults.First,wekeepindividualsobserved

goingbacktoworkduringthesampleperiodanddefinetheir

non-workingduration inthesamewayastheretiredindividuals.In

suchacase,theIVmodelsprovideestimatesthatareclosetoour

mainresultsforboththedummyestimates(coefficientestimate:

−1.232;standarderror:0.380).andthelogofretirementduration

(coefficientestimate:−0.798;standarderror:0.274)andshowthat

ourIVstrategyisinsensitivetotheselectedsampleweuseforour

mainresults.23

Theanalysisuntilnowhasdefinedretirementasadummy

vari-ableforworkingornot.However,anindividualwhohasreduced

substantiallyhisworkinghoursandisonlyworkingafewhours

perweekmightalsoexperienceacognitivedecline.Asthose

indi-vidualsarestillrecordedasworkingaccordingtoourdefinition,

thismightbiasupwardtheIVestimateoftheeffectofretirement

oncognitivefunctioning.Inordertocheckforthispossibilitywe

restrictthesampletoindividualswhoareworkingfulltimeby

droppingallindividualswhohavebeenobservedworking35hor

lessperweek,conditionalonworkingandperformedthe

analy-sis.Resultsarerobusttothissampleselectionconfirmingourmain

findings(coefficientestimate:−0.810;standarderror:0.318).

6. Conclusion

Thispaperhasanalysedtheeffectofretirementoncognitive

functioning,measuredbya wordlearningand recalltest,using

longitudinaldataonolderAmericansfrom1998to2008(HRS).The

empiricalresultshighlightasignificantnegativecausalimpactof

retirementoncognitivefunctioning,inaccordancewiththe

find-ingsofRohwedderandWillis(2010)andMazzonnaandPeracchi (2010).This negative effectremains even when controllingfor

individualheterogeneityandtheendogeneityof theretirement

decision. Weshow,by usingeligibility forsocial securityasan

instrumentforretirement,thatthisrelationshipisunlikelytobe

duetoreversecausality.Ourresultshighlightasignificantnegative

effectofretirementoncognitivefunctioning,closeto10%.Theyalso

suggestthattheeffectofretirementoncognitivefunctioningisnot

instantaneousbutappearswithalagandthismightthusprovide

anexplanationforthemixedfindingsfrompreviousstudies.

Ourresultsalsosuggestthat,althoughtheeffectofretirement

oncognitivefunctioningis notinstantaneous,mostof thedrop

22 Resultsareavailableuponrequest.

23 Wehavealsoestimatedthemodelbyrestrictingthesampletoindividuals

reportingworkingorbeingfullyretiredandfoundsimilarresultsthanthose pre-sentedinthispaper.Resultsareavailableuponrequest.

occurs at the beginning of the retirementperiod and tendsto

stabiliseafterwards.Thisfindingthussuggeststhat,eventhough

reformsaimedatdelayingthelegalageofretirementcouldlead

tosomepositiveexternalitiesintermsofimprovedcognitive

func-tioning,weshouldnotexpectthatanincreaseinretirementage

willhavealargeimpactonthedependencyoftheelderly(i.e.the

long-termretired)becauseofcognitiveimpairmentatolderage.

Fromatheoreticalpointofview,alltheseresultssupportthe

dis-useperspective(Salthouse,1991),whichassumesthatdecreases

in activity patterns result in atrophy of cognitive skills, while

stimulating mentalactivities increase them(the “use itor lose

it” hypothesis), and suggest that retirement plays a significant

roleinexplainingcognitivedeclineatolderage.However,further

studieswould benecessarytospecifytheeffectofprofessional

activitiesoncognition(andmoreparticularlyonmemory

func-tioning).Indeed,thefirstquestiontobeinvestigatediswhether

theimpactoftheretirementoncognitivefunctioningdependson

thetypeofprofessionalactivityundertakenwhileemployed:

phys-icalversusintellectualwork;lightversusheavyworkload;stressful

workornot.Forexample,somestudieshaveshownthat

intellec-tuallydemandingjobsduringadulthoodareassociatedwithbetter

cognitivefunctioninginlaterlife,whereasmanuallabouris

asso-ciatedwithworsecognitivefunctioning(Jormetal.,1998;Potter

etal.,2008).Asecondimportantquestionistodeterminewhether

therelationshipbetweenretirementandcognitionisdirectand/or

whetherthere aresomeintermediate variablesbetween

retire-ment and cognition. Indeed, work is known to increase social

interactionandasenseofself-efficacy,bothvariablesbeing

consid-eredasimportantfactorscontributingtothemaintenanceofthe

cognitivereserve(RoweandKahn,1998).

Ourfindingshaveimplicationsthatgobeyondtheconsequences

ofretirementoncognitivefunctioning.Theyshowthatindividuals

havesomecontrolovertheevolutionoftheircognitivefunctioning

throughtheactivitiestheyundertakeandthusthatthereisscope

forpolicyinterventionstoaffectthepatternofcognitiveageing.

Theyprovidesupportforactiveageingpolicies,particularlyinthe

fieldofparticipation.Letusindicateherethethreekeypolicy

pro-posalsinthisfieldhighlightedbytheWorldHealthOrganization

(WHO,2002):“(1)Provideeducationandlearningopportunities

throughout thelife course;(2)Recognizeand enabletheactive

participationofpeopleineconomicdevelopmentactivities,formal

andinformalworkandvoluntaryactivitiesastheyage,accordingto

theirindividualneeds,preferencesandcapacities;and(3)

Encour-agepeopletoparticipatefullyinfamilycommunitylife,asthey

growolder.”

Finally,itshouldbeemphasisedthatmemorylossand

demen-tia among the elderlyrepresent a major public health burden,

especiallyinthecurrentcontextofpopulationageing.Cognitive

impairments,eventhosenotreachingthethresholdfordementia

diagnosis,areassociatedwithalossofqualityoflife,increased

dis-ability,andhigherhealth-relatedexpenditures(Albertetal.,2002;

Ernstand Hay, 1997;Lyketsoset al.,2002;Tabertetal., 2002).

Ourfindingssuggestthatreformsaimedatpromotinglabourforce

participationatanolderagemaynotonlyensurethe

sustainabil-ityofsocialsecuritysystemsbutmayalsocreatepositivehealth

externalities.

Acknowledgments

The authorswould liketothankMeltemDaysal, Andriesde

Grip,ThomasDohmen,ArnaudDupuy,TobiasKlein,IzabelaJelovac,

Anne Laferrère,Olivier Marie, PierrePestieau, Suzann

Rohwed-der,MartinRossi,ArthurVanSoest,RobertWillis,GemaZamarro,

Figure

Table 1 presents the parameter estimates of the model esti- esti-mated by the two-stage least squares within estimator
Fig. 3. Predicted age profile of cognitive functioning. Note: This figure illustrates the effect of retirement on cognitive functioning of two hypothetical individuals who only differ with respect to their retirement age
Fig. 4. Sensitivity analysis on the delayed effect of retirement on cognitive func- func-tioning

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