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
caResearchCentreforEducationandtheLabourMarket(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
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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
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).
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.
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
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 .2Changes 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
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
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.
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.
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).
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,