(Top)SummaryScorecardWhat this paper claimsWhat evidence it offersWhat's goodWhat's wrong with itWhat would change our mindScoring ExplanationKey ClaimsReferences

Marital protection and marital selection: Evidence from a historical-prospective sample of American men

John E. Murray (2000) · Demography

10.1353/dem.2000.0010


Summary:

Using lifetime records of 1,961 nineteenth-century Amherst College graduates, the paper claims that healthier men were more likely to marry and that marriage then lengthened their lives independently of health. The first finding is really about body size, not health: the traits that predicted marriage (being very short or underweight) had no relationship to when men died. The protection finding rests on a 47% figure that is largely an artifact of how early deaths were counted; the defensible estimate is about 15%, barely distinguishable from zero, and it never accounts for widowhood. Believe that body size affected marriage prospects at this college; do not believe the headline that marriage protected against death independent of health.

What this paper claims

Among nineteenth-century Amherst College men, healthier men (measured by height and weight around age 20) were more likely to marry and married sooner, and marriage itself lowered the risk of death even after accounting for that early health. The author concludes that "selection" and "protection" both operated.

What evidence it offers

This is an observational study of 1,961 men who graduated from Amherst between 1861 and 1899, tracked through alumni records from age 18 to death. The college's physical education professor measured each man's height and weight once, around age 20. The author runs regressions asking whether body size predicted marriage, then whether marriage predicted death once body size was included.

The dataset is unusually good: nearly complete lifetimes, exact dates, almost no one lost. The finding that very short and underweight men married less and later is solid for this group. But the headline claim fails on two counts. First, body size is supposed to stand in for "health," yet in this sample body size did not predict death at all, except for the roughly eight obese men. A control with no relationship to the outcome cannot remove the influence of health on the marriage–death link, so "independent of health" is not shown. Second, the 47% mortality reduction for married men is inflated by construction: the death clock starts at 18, the typical man married around 30, so every man who died in his twenties counts as a lifelong bachelor. The analysis that avoids this error shows a 15% reduction whose lower bound essentially touches zero, and it treats every man as continuously married from his wedding until his death, ignoring widowhood and divorce.

What's good

The dataset is rare: an entire cohort observed from young adulthood to death, with birth, marriage, and death dates exact to the day, body measurements to the millimeter by a single anthropometrist, and only 53 men still alive at the 1963 cutoff. The author is right that modern longitudinal studies with six-year windows cannot separate selection from protection, and this design in principle can. The finding that very short and underweight men at this college married less and later is consistent across every model and is a real contribution. The paper is also candid about several of its own limits and volunteers a specification check that undercuts itself.

What's wrong with it

The two halves of the paper do not connect through health. Body size predicted marriage; body size did not predict death (except for about eight obese men, who did not marry less). So the "health control" that justifies calling the marriage effect independent of health removed no health-related confounding, because it carried no health information relevant to mortality. The conclusion comes from the label "health" attached to height and weight, not from the numbers.

The protective estimate is compromised twice over. The 47% figure counts every man who died before the typical marriage age as a bachelor, so early death produces the bachelor label rather than the reverse. The 15% figure from the corrected model is marked as more significant than it is, has a confidence range that reaches zero, and treats men as continuously married for an average of 37 years without any record of whether the wife survived. The paper describes the early-death problem, cites the standard fix, and then reads the inflated number as evidence of the cumulative harm of bachelorhood.

Smaller issues point the same way: the "larger men married more" summary hides that moderately tall men married less; the cohort-level height–bachelorhood correlation rests on five data points; the most rigorous cited modern study found selection running in the opposite direction and its main result is never mentioned.

What would change our mind

  • A re-analysis of these data with wives' death dates and remarriages coded, testing whether losing a spouse raised mortality, would move confidence up if protection appeared and down if it did not. The author names this as the right test.
  • Replication with another college's records (Harvard, Yale, and Syracuse have comparable alumni records) showing a marriage effect after properly time-varying coding would raise confidence in the 15% figure.
  • A health measure taken near the age of marriage, or one that predicts death in the sample, showing that the marriage effect survives adjustment for it, would support the independence claim.
  • Individual-level family wealth data for these cohorts showing that poorer students were not systematically shorter, lighter, and later to marry would remove a plausible common cause.
  • Evidence that the "tall" band's lower marriage rate replicates elsewhere would confirm the non-monotonic pattern and further weaken the "bigger is better" framing.
  • Inclusion of the non-graduates in a sensitivity analysis showing the marriage effect survives would raise confidence; showing it disappears would lower it further.

Scoring Explanation

Study design

The cohort is close to ideal for the question: complete lifetimes, precise archival dates, body measurements by a well-regarded anthropometrist, and almost no loss to follow-up. That earns real credit for the modest findings about body size and marriage timing. It cannot deliver the central claim. Showing that marriage protects independent of health requires a health measure that relates to death in this population and captures health near the time men married. Height and weight at 20 do neither: six of seven body-size categories have no detectable relationship with death, and weight at 20 says little about a man's condition at 30, when the median man married. The "ever married versus bachelor" comparison builds early deaths into the bachelor group. Marriage is observed only as a wedding date; widowhood, divorce, and remarriage are invisible, so every post-wedding year is coded as protected whether or not a spouse was present. Excluding non-graduates, which the author acknowledges was necessary, removed the men who died young at high rates and who were most likely to carry the sick-therefore-unmarried-therefore-died-early pathway the study set out to detect. Socioeconomic controls were skipped on the strength of a college history describing the students as "homogeneous," though the same history mentions poor boys working their way through.

Statistical analysis

The nuptiality models (a logit for ever-married and Cox proportional-hazards models for time to first marriage) are appropriate, and their key results for very short and underweight men hold across every specification. The mortality analysis does not hold up. The 47% protective estimate comes from an ever-married indicator with risk starting at age 18, which is textbook immortal-time bias; the paper reads the difference between 47% and the time-varying model's 15% as the cumulative toll of bachelorhood rather than as the size of the bias. The 15% estimate (coefficient –0.16, SE 0.08) is marked significant at the 1% level, but z ≈ 2.0 gives p ≈ 0.045; every other star in both tables checks out, so the one mis-starred cell is the paper's central estimate. No confidence intervals are reported; the reconstructed interval for the 15% figure runs roughly 0% to 27%. The proportional-hazards assumption is never tested across a 70-year risk window. Several conclusions rest on the obese category of about eight men, whose hazard ratio of roughly 4.4 is far above what large modern cohorts find. Men in the "tall" band (14% of the sample) were significantly less likely to marry in all three models, a non-monotonic pattern the text never mentions while describing marriage as "greater for larger men." The cohort-level height–bachelorhood correlation for Amherst (r = –0.74, p = 0.15, five points) is called "striking" despite being indistinguishable from zero.

Construct validity

The paper needs body size at 20 to measure the health that drives both marriage and death. Height is stable, so the height–marriage link is interpretable. Weight is not: the paper itself says weight-for-height reflects nutrition in the months before measurement, and the median man married about a decade later. More fundamentally, the paper's own mortality results show body size carried essentially no information about death for 99.6% of the sample. The traits that predicted marriage (very short, very tall, underweight, overweight) did not predict death; the one trait that predicted death (obesity, about eight men) did not predict marriage. The selection observed is selection on appearance, not on mortality-relevant health, so it cannot be the selection the protective estimate needs adjusting for. The marriage variable is equally thin: "married" means "had a first wedding," switched on once and never checked again over an average of 37 remaining years. Given nineteenth-century maternal mortality, a substantial share of those years were spent widowed. The 15% figure estimates the effect of having had a wedding, not of living with a spouse.

Reasoning quality

The central inference — marriage lowered mortality after controlling for early health, therefore the effect "must have been independent of early health status" — requires the controls to capture the relevant health, and they do not. The evidence licenses only "not explained by height and weight at 20." The framing would survive either result: had body size predicted both marriage and death it would report selection by health, and when body size predicted marriage but not death it reports selection by health anyway. The 47%-versus-15% difference is read backwards; the paper describes the early-death problem in general terms two paragraphs earlier, cites the standard fix, and then interprets the difference as evidence of protection. The conclusions section lists unmeasured traits (hygiene, disability, risk-taking) that could delay marriage and hasten death, and the next paragraph states the independence conclusion as a necessity. The abstract's "greater for larger men" smooths over the fact that moderately tall men married less than average-height men in every model.

Transparency

Every archival source is named precisely enough that a determined researcher could rebuild the dataset: published college annuals for the early classes, bound manuscript volumes in the Amherst archives for the later ones, the 1963 Biographical Record for marriage and death. Funding (a small Economic History Association grant) is disclosed and the paper went through peer review at Demography. No data or code were shared, which was ordinary for 2000. The author is candid about several real limitations: wives' deaths unobserved, non-graduates dropped, individual body size heavily genetic, measurement dates estimated for half the sample. He also volunteers that merging the overweight and obese categories would have made both results disappear. The limitations discussion omits the two problems that bear most on the central claim: the 47% figure is inflated by classifying early deaths as bachelors, and the health controls do not predict death and therefore remove almost no health confounding.

Citation integrity

Verifiable citations are accurate. Hu and Goldman 1990 and Goldman 1993 say what the paper says they say, and the body-size-and-mortality literature is presented even-handedly, with proponents of linear, U-shaped, and null relationships all represented. The exception is Lillard and Panis 1996, cited for two side points while its central finding goes unmentioned: among modern American men, unhealthy men married sooner, and the apparent protective effect was partly driven by unmeasured traits promoting both health and marriage. That is the most relevant contrary evidence in the paper's own reference list and it cuts directly against the "must have been independent of early health" conclusion. The justification for skipping socioeconomic controls rests on a college history, a memoir, and a one-word remark by Galton. The claim that obese men married less than overweight men, offered as matching Fu and Goldman 1996, rests on roughly eight men whose coefficient is indistinguishable from zero.

Independence

There is no financial or institutional conflict. The sole author was an academic economist funded by a small scholarly grant; Amherst College provided archives but had no stake in the result, and no industry or advocacy constituency benefits from findings about nineteenth-century college graduates. The only pressure is intellectual: the author works within anthropometric history, whose founding premise is that height and weight measure health. That premise is carried further than the data support — the summary describes "selection into marriage by health" when body size did not predict death. The author does concede the individual-level limitations of body size elsewhere in the paper.

Key Claims

Not supported

Marriage protects men against early death, even after accounting for their health

The only measure of health was height and weight at about age 20, and in this group neither predicted when a man died except for roughly eight obese men, so controlling for it could not rule out that healthier men both married more and lived longer, and the men were never observed after their wedding day, so widowers were counted as married for decades.

Not supported

Married men in this group had a death rate about half that of lifelong bachelors

The halving comes from a comparison that starts the clock at age 18 while most men married around 30, so every man who died young was automatically counted as a bachelor; when men were counted as married only from their wedding date, the reduction fell to about 15%, and that smaller figure could barely be told apart from zero.

Not supported

Healthier young men were more likely to marry, and to marry sooner

Very short and underweight men at 20 did marry less and later, but those traits had no relationship to how long a man lived, so the data show selection on body size and appearance rather than on anything that behaved like health.

Not supported

Bigger men had better marriage prospects

Only the tallest 3% of men married more than average-height men; the next-tallest 14% actually married less, so the pattern is not that larger men did better across the board.

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