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Erschienen in: Demography 4/2011

01.11.2011

Do Not Go Gentle Into That Good Night: The Effect of Retirement on Subsequent Mortality of U.S. Supreme Court Justices, 1801–2006

verfasst von: Ross M. Stolzenberg

Erschienen in: Demography | Ausgabe 4/2011

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Abstract

Mortality hazard and length of time until death are widely used as health outcome measures and are themselves of fundamental demographic interest. Considerable research has asked whether labor force retirement reduces subsequent health and its mortality measures. Previous studies have reported positive, negative, and null effects of retirement on subsequent longevity and mortality hazard, but inconsistent findings are difficult to resolve because (1) nearly all data confound retirement with unemployment of older workers, and often, (2) endogeneity bias is rarely addressed analytically. To avoid these problems, albeit at loss of generalizability to the entire labor force, I examine data from an exceptional subgroup that is of interest in its own right: U.S. Supreme Court justices of 1801–2006. Using discrete-time event history methods, I estimate retirement effects on mortality hazard and years-left-alive. Some substantive and methodological considerations suggest models that specify endogenous effects estimated by instrumental variables (IV) probit, IV Tobit, and IV regression methods. Other considerations suggest estimation by endogenous switching (ES) probit and ES regression. Estimates by all these methods are consistent with the hypothesis that, on average, retirement decreases health, as indicated by elevated mortality hazard and diminished years-left-alive. These findings may apply to other occupational groups characterized by high levels of work autonomy, job satisfaction, and financial security.

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1
This use of the word objective follows Bound (1991) and the definition in The American Heritage Dictionary of the English Language (1996): a synonym for “observable” or perceived “by someone other than the person affected.” Shang and Goldman (2008:409) compared their predicted life expectancy measure (“predicted life expectancy with some noise”) to several health condition and health risk factor measures, thereby providing evidence of the criterion validity of future longevity as an indicator of current health.
 
2
This current social science research usage is consistent with the common-language definition of retirement as “withdrawal from one’s occupation, business, or office” [emphasis added] (American Heritage 1996), although it differs from some other definitions. For example, the U.S. Current Population Survey (CPS) accepts, solely as an expedient, jobless respondents’ description of their labor force status as “retired” if they are at least 50 years old; thus, CPS respondents who are coded as “retired” include persons who would be classified as disabled, unemployed, or otherwise if full and accurate information were available (Polivka and Rothgeb 1993:24; see also Rones 1985). This social science definition of retirement differs from actuarial and financial accounting definitions, which usually include only recipients of money payments from pension funds (Society of Actuaries 1992).
 
3
Justices can be, but none have been, terminated from office for treason, bribery, or serious crimes.
 
4
Justice Thurgood Marshall is reported to have stated for publication, “I have a lifetime appointment and I intend to serve it. I expect to die at 110, shot by a jealous husband” (Williams 1990).
 
5
Preston (1977:171) wrote, “Mortality levels obviously have a major influence on the structure of other elderly leadership groups such as union leaders, Supreme Court justices, and Communist Party officials.” Thus, determinants of these anomalous mortality levels are of interest for the identical reason.
 
6
This question was asked informally, by Gary S. Becker, of U.S. Federal Judge Richard Posner (personal communication, May 8, 2007).
 
7
I thank Robert Willis for suggesting this approach.
 
8
I use probit rather than logit or gompit methods (see Manton et al. 1994) for consistency with my use of Tobit, instrumental variables probit, and endogenous switching methods.
 
9
I started with a database supplied to Professor James Lindgren by Professor Albert Yoon (see Yoon 2006), based on information obtained from the Administrative Office of the U.S. Courts (Federal Judicial Center n.d.). Lindgren checked some of those data against various sources, including the Congressional Record; corrected errors; and added more data from the Federal Judicial Center (n.d.) and the U.S. Supreme Court (2006) for 1789–1868 and 2003–2006. I added post-retirement data for justices who did not die in office.
 
10
From establishment of the Supreme Court in 1789 until the end of 2006, 110 justices served a total of 1,895 justice-years on the court and lived 457 post-resignation justice-years.
 
11
Years-left-alive is unobservable for justices still alive as this research is done.
 
12
Subtracting 1,788 from the calendar year preserves all information and avoids rounding problems that occurred in initial analyses with STATA version 8, which used calendar year.
 
13
A skeptical reader proposed that the estimated effect of retired on mortality must be weaker when estimated with IV analyses than when estimated in analyses that ignore endogeneity. Online Resource 2 uses simulation to examine that concern and finds no support for it.
 
14
1/3 ≈ 31% = (0.0567 – 0.0433) / 0.0433. Estimates based on justice-years for which the justice’s age is at least 55. If all ages are included, then the mean hazard if retired is 0.0516 and the mean if incumbent is 0.0380.
 
15
Based on the geometric distribution. If mortality is geometrically distributed with annual mortality probability of p, then the expected years until death is 1/p. In this case, 5.458 = 1 / 0.0433 – 1 / 0.0567
 
16
For comparison, a recent study found that smoking two or more packs of cigarettes a day (compared with never smoking) would raise a 5% mortality hazard among nonsmokers to a 15.8% hazard. That smoking effect is about midway between my instrumented and uninstrumented probit estimates of the effect of retirement on one-year mortality hazard. So, even the smallest of the IV point estimates of hazard effects of retirement can be characterized as comparable to the effects of heavy smoking on one-year mortality. Of course, length of exposure matters, too: smoking typically starts well before retirement, so lifetime effects of smoking would be much greater than lifetime effects of retirement, even if the annual hazard rate effects of smoking and retirement were identical. Here, I compute probability effects of smoking from Rogers et al. (2005:272), who reported that the largest estimated logistic regression coefficient for a dummy variable for smoking two or more packages of cigarettes a day, compared with never having smoked, is 1.274.
 
17
A reader asked for this paper “to convince readers why voluntary retirement is a rational decision at all.” However, this article is an analysis of an effect of retirement on mortality, not an examination of the causes of retirement. See Stolzenberg and Lindgren (2010) for analysis of retirement and death in office by Supreme Court justices.
 
18
Available information indicates that only one Supreme Court justice has cited caregiving as a reason for retirement (Sandra Day O’Connor). But Justice O’Connor has placed her husband in a nursing facility, where he is attended by professional caregivers (Zernike 2007). Further, it is impossible to know the correspondence between O’Connor’s actual and stated reasons for retirement, and it is difficult to know what effect, if any, her caregiving responsibilities might have on her mortality, as she remains alive at this writing. In addition, Supreme Court justices are well-paid, so there is reason to believe that they could buy caregiver services in place of their own labor, as Justice O’Connor has done. And, further yet, evidence suggests that Supreme Court justices differ markedly from most contemporary caregivers: according to a 1997 report (National Alliance for Caregiving and AARP 1997:10), caregivers are disproportionately female (74%), less than 50 years of age (64%), have low household income (median $35,000), and lack professional or graduate education (91%). In short, almost everything that is known about caregiving effects on caregivers applies to a population segment that is very dissimilar to Supreme Court justices. Finally, I repeated all analyses in this article after omitting Justice O’Connor and Justice Ginsburg from the data. The omission of these two justices produced no change in findings and virtually no change in estimates.
 
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Metadaten
Titel
Do Not Go Gentle Into That Good Night: The Effect of Retirement on Subsequent Mortality of U.S. Supreme Court Justices, 1801–2006
verfasst von
Ross M. Stolzenberg
Publikationsdatum
01.11.2011
Verlag
Springer US
Erschienen in
Demography / Ausgabe 4/2011
Print ISSN: 0070-3370
Elektronische ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-011-0065-9

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