Effect of marital status on death rates. Part 1: High accuracy exploration of the Farr-Bertillon effect
Peter Richmond, Bertrand M. Roehner

TL;DR
This study rigorously analyzes the Farr-Bertillon law, confirming that married individuals generally have lower death rates than unmarried ones, with variations across age, gender, and cause of death, using highly accurate data analysis methods.
Contribution
It provides the most precise validation of the Farr-Bertillon effect across different demographics and causes of death, addressing previous data limitations.
Findings
The Farr-Bertillon effect is similar for men and women, stronger for men.
Largest effect for singles/divorced around age 45, widowed around age 25.
Highest effect observed for suicide, lowest for cancer.
Abstract
The Farr-Bertillon law says that for all age-groups the death rate of married people is lower than the death rate of people who are not married (i.e. single, widowed or divorced). Although this law has been known for over 150 years, it has never been established with great accuracy. This even let some authors argue that it was a statistical artefact. It is true that the data must be selected and analyzed with great care, especially for age groups of small size such as widowers under 25. The observations reported in this paper were selected and designed in the same way as experiments in physics, that is to say with the objective of minimizing the error bars for all age-groups. It will be seen that data appropriate for mid-age groups may be unsuitable for young age groups and vice versa. The investigation led to the following results. (1) The FB effect is basically the same for men and…
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