Evidence map›Paper›PMID 26161036›Full record

ArticleDemographic research2014

A Geography of Unmarried Cohabitation in the Americas.

Antonio López-Gay, Albert Esteve, Julian López-Colás, Iñaki Permanyer, Anna Turu, Sheela Kennedy, Benoît Laplante, Ron Lesthaeghe

Abstract read
In one paragraph

Article in Demographic research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Antonio López-GayCentre d'Estudis Demogràfics, Barcelona.
Albert EsteveCentre d'Estudis Demogràfics, Barcelona.
Julian López-ColásCentre d'Estudis Demogràfics, Barcelona.
Iñaki PermanyerCentre d'Estudis Demogràfics, Barcelona.
Anna TuruCentre d'Estudis Demogràfics, Barcelona.
Sheela KennedyUniversity of Minnesota.
Benoît LaplanteInstitut national de la recherche scientifique, Montreal.
Ron LesthaegheFree University of Brussels.

Funding

Microdata for Population Dynamics and Health ResearchR01HD043392 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Sarah M Flood, Steve Ruggles · 2002 to 2026
$14.8M
Integrated Samples of Latin American Censuses, 1960-2003R01HD044154 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI CLEVELAND, LARA L, SOBEK, MATTHEW · 2003 to 2018
$9.1M
Spatial Analysis CoreR24HD041023 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI RUGGLES, STEVE · 2001 to 2016
$4.1M
NICHD NIH HHS R01 HD043392NICHD NIH HHS R01 HD044154NICHD NIH HHS R24 HD041023
6 · The paper itself

Abstract

backgroundIn the context of increasing cohabitation and growing demand for understanding the driving forces behind the cohabitation boom, most analyses have been carried out at a national level, not accounting for regional heterogeneity within countries.

objectiveThis paper presents the geography of unmarried cohabitation in the Americas. We offer a large-scale, cross-national perspective together with small-area estimates of cohabitation. We decided to produce this map because: (i) geography unveils spatial heterogeneity and challenges explanatory frameworks that may work at the international level but have low explanatory power in regard to intra-national variation. (ii) we argue that historical pockets of cohabitation can still be identified by examining the current geography of cohabitation. (iii) our map is a first step toward understanding whether the recent increase in cohabitation is an intensification of pre-existing traditions or whether it has different roots that also imply a new geography.

methodsCensus microdata from 39 countries and 19,000 local units have been pulled together to map the prevalence of cohabitation among women.

resultsThe results show inter- and intra-national regional contrasts. The highest rates of cohabitation are found in areas of Central America, the Caribbean, Colombia and Peru. The lowest rates are mainly found in the United States and Mexico. In all countries the spatial autocorrelation statistics indicates substantial spatial heterogeneity.

conclusionsOur results raise the question as to which forces have shaped these patterns and remind us that such forces need to be taken into account to understand recent patterns, particularly increases, in cohabitation.

Identifiers

PMID26161036
PMCPMC4493933

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.