Selection and Redistribution in the Irish Tontines of 1773, 1775, and 1777

Date01 September 2020
Published date01 September 2020
DOIhttp://doi.org/10.1111/jori.12274
AuthorYikang Li,Casey Rothschild
©2019 The Journal of Risk and Insurance. Vol.XX, No. XX, 1–32 (2019).
DOI: 10.1111/jori.12274
Selection and Redistribution in the Irish Tontines of
1773, 1775, and 1777
Yikang Li
Casey Rothschild
Abstract
We construct and analyze a new data set on the mortality experience of the
nominees of the 1773, 1775, and 1777 Irish tontines. The active participation
of Genevan speculators in these Irish tontines has been well documented.
We use our new data to quantify both the extent to which these nominees
werelonger-lived and the financial consequences of their enhanced longevity.
The Genevan nominees were indeed notably longer-lived than non-Genevan
nominees—particularly so for the 50 nominees selected by a Genevan in-
vestment syndicate. Their enhanced longevity had only trivial financial con-
sequences for the issuer, but it led to significant redistribution from non-
Genevan to Genevan investors. We highlight the implications of this across-
group distributional risk for modern proposals to introduce tontine-like ele-
ments into modern retirement pensions.
Introduction
Tontines—also known as “annuities with benefit of survivorship”—have a long and
storied history. They were invented 1650s, used extensively in the late 17th and 18th
centuries as a source of public funds by Britain and France (Weir, 1989), and were
popular consumer products in the U.S. insurance market in the late 19th century
until an adverse legal decision against tontine providers in the early 20th century
effectively killed them off (Ransom and Sutch, 1987). Recently, a number of scholars
and policymakers have argued for resurrecting tontines, on the grounds that they can
play a useful role in financing retirement.
This article makes two complementary contributions to the economic literature on
tontines. The first contribution is historical: we construct and analyze a new data set
Casey Rothschild is at Wellesley College. Yikang Li was a student at Wellesley College while
completing this research;she does not currently have any academic affiliation. Rothschild can be
contacted via email: crothsch@wellesley.edu.Wethank Leticia Arroyo-Abad, Martin Boyer, Eric
Hilt, Moshe Milevsky,Kyung Park, and seminar participants at Wellesley College, Middlebury
College, ETH Zurich, Amherst College, and St. John’s University for useful comments; we
thank Crysti Wang,Beryl Larson, and Yining Li for excellent research assistance; and we thank
Wellesley College’s Jerome A. Schiff Fellowship for financial support for Yikang while she
worked on an early version of this article for her Senior Honors Thesis. Finally, we thank the
editor and two anonymous referees for insightful and constructive feedback.
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2The Journal of Risk and Insurance
on the mortality experience of the nominees of the 1773, 1775, and 1777 Irish tontines,
and we use this data set to quantify the differential longevity of participants who
were selected by known Genevan speculators, and the financial consequences thereof.
Our results indicate potentially significant redistributive consequences of speculation
within the Irish tontines. Our second contribution is to observe that these historical
results also speak to a potentially important but heretofore overlooked risk associated
with using tontines in finance modern retirement systems: the potential for nontrivial
across-subgroup distributional risks.
The recent renaissance of interest in tontines among economists and policy advocates
stems from a potential advantage they have relative to traditional annuity-based re-
tirement systems. Economists have long recognized the value that traditional defined
benefit pensions and life annuities provide in insuring retirees against the idiosyn-
cratic risk of outliving their resources(viz. Yaari, 1965; Davidoff, Brown, and Diamond,
2005), and pensions and life annuities also protect retirees from aggregate longevity
risk by effectively offloading this risk onto annuity providers. Insofar as providers
have limited ability to hedge their exposure to this aggregate risk (Blake, 1999), how-
ever, they may be exposed to a higher probability of default risk (Forman and Sabin,
2014) and may be forced to charge higher annuity prices (Brown and Orszag, 2006).
Tontines can potentially alleviate these concerns.
In a prototypical tontine, each of the Nmembers of the tontine pool “buys in” with
a lump sum payment R/N, and the tontine provider promises a periodic interest or
“dividend” payment R to the pool, to be divided up evening among the members
who are still alive at the time the payment is due. As members of the tontine pool die
off, the periodic payments to each surviving member grows, but the total payment
due from the provider remains constant at R. A number of scholars and practitioners
have noted that this constant-total-payment feature greatly mitigates providers’expo-
sure to aggregate longevity risk (relative to traditional life annuities) and can thereby
potentially improve pricing and limit default risk. These include Piggott, Valdez,and
Detzel (2005), Rotemberg (2009), Forman and Sabin (2014), Newfield (2014), Milevsky
and Salisbury (2015), Wettstein (2018), Macdonald (2018), and Milevsky’s (2015)
book King William’s Tontine: Why the Retirement Annuity of the Future Should Resemble
Its Past.
The aggregate-longevity risk-hedging benefits of tontines are most easily seen from
the point of view of issuer. Consider, for example, a cohort of newly retired 65-year-
old individuals “locking in” a pension for the remainder of their lives, and consider
a government with a fixed sum of resources Rset aside to fund these pension pay-
ments. Suppose first that, as in the U.S. Social Security system, the government pays
a pension in the form of a life annuity: it promises each individuals a fixed annual
income for as long as that individual remains alive, with the magnitude of the annual
income calibrated so that the expected discounted cost equals R. In this case, the gov-
ernment is fully exposed to aggregate mortality risk: if the cohort turns out to have
significantly lower mortality than expected, then the provider will see their annual
pension payment outlays rise more or less immediately, and the cost of providing the
pensions will greatly exceed R.
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Selection in the Irish Tontines 3
Contrast that with the case of a pure tontine, where the government earmarks a reg-
ular annual payment to the entire cohort of individuals, and, each year, divides that
annual payment up among the surviving members of that cohort. In this case, the
government is minimally exposed to aggregate mortality risk. If the cohort turns
out to be longer-lived than expected, the fixed annual payments due in early years
will, by construction, be completely unaffected from the point of view of the gov-
ernment. The only cost to the government will be due to the longer, far-future tail of
the payments—as the last-to-die member of the tontine pool will be longer-lived, in
expectation. By virtue of being in the far future, these extra payments will typically be
small in present value terms. Moreover,and importantly, most serious modern policy
proposals modify the prototypical tontine structure by prescribinga declining annual
income stream, calibrated so that the dividends per survivor remain approximately
constant over time under baseline mortality projections (so that, from the point of
view of a tontine participant, the expected income stream will closely resemble the
income stream provided by a standard life annuity). The present value of the risk to
the government from a positive longevity shock to the cohort is virtually nil under
such proposals.
The fact that tontines can effectively eliminate aggregate mortality risk from the point
of view of an annuity or pension provider such as a government does not necessar-
ily make them desirable, of course. Indeed, relative to a traditional pension annuity,
a tontine exposes the pension recipients—who may have less ability to bear it—to
greater aggregate longevity risk. This is well understood in the literature. Another
potential drawback to tontine schemes appears to be less well understood: shifting
from traditional annuities to tontine-based schemes may introduce or magnify re-
distributive risks caused by group-specific longevity shocks. For example, the small
mortality improvements experienced by lower earners relative to high earners in
the United States during the 20th century (National Academies, 2015) would poten-
tially have had significantly different across-class distributional consequences under
a tontine-based pension scheme as opposed to an annuity-based pension scheme like
the current U.S. Social Security system (see the “Modern-Day Implications” section
for an illustrative calculation).
We use the unique historical “experiment” providedby the Irish tontines to illustrate
and to quantify these potential distributional consequences. The Irish tontines have
been discussed in earlier literature, notably by Gautier (1951) and Jennings and Trout
(1983), but without the benefit of the micro-data we have now gathered from several
archival sources. We have a complete list of all lives nominated for these tontines,
their ages at the time of nomination, their domicile, and substantial but—because of
imperfect record keeping—incomplete information on their death dates. Despite the
partially missing death dates, our data set nevertheless allows us to make precise
computations of the mortality experience of different subgroups of participants in
these tontines and, for the first time, allows us to make precise estimates of the financial
returns to investments therein.
As discussed in Gautier (1951) and Jennings and Trout (1983), a Genevan banking
syndicate subscribed heavily to the Irish tontines. These bankers took advantage of the
Does National Flood Insurance Program Participation Induce Housing Development? 3
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