| Title |
Marital status and mortality: The role of health
|
|---|---|
| Published in |
Demography, August 1996
|
| DOI | 10.2307/2061764 |
| Pubmed ID | |
| Authors |
Lee A. Lillard, Constantijn W. A. Panis |
| Abstract |
Prior literature has shown that married men live longer than unmarried men. Possible explanations are that marriage protects its incumbents or that healthier men select themselves into marriage. Protective effects, however, introduce the possibility of adverse selection: Those in poor health have incentive to marry. In this paper we explore the role of health in explaining mortality and marriage patterns, and distinguish protective effects from two types of selection effects. We find adverse selection on the basis of health (unhealthy men tend to (re)marry sooner) and positive selection on the basis of unmeasured factors that both promote good health and encourage marriage. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| North Macedonia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| United Kingdom | 3 | 2% |
| United States | 2 | 1% |
| Switzerland | 1 | <1% |
| Colombia | 1 | <1% |
| Japan | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 162 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 22% |
| Researcher | 29 | 17% |
| Student > Doctoral Student | 18 | 10% |
| Student > Master | 16 | 9% |
| Student > Postgraduate | 12 | 7% |
| Other | 31 | 18% |
| Unknown | 29 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 72 | 41% |
| Economics, Econometrics and Finance | 16 | 9% |
| Medicine and Dentistry | 15 | 9% |
| Psychology | 14 | 8% |
| Agricultural and Biological Sciences | 5 | 3% |
| Other | 18 | 10% |
| Unknown | 34 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2019.
All research outputs
#2,192,265
of 25,837,817 outputs
Outputs from Demography
#590
of 2,036 outputs
Outputs of similar age
#749
of 29,043 outputs
Outputs of similar age from Demography
#2
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has gotten more attention than average, scoring higher than 71% of its peers.
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We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.