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Potential (Mis)match? Marriage Markets Amidst Sociodemographic Change in India, 2005–2050

Overview of attention for article published in Demography, January 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Potential (Mis)match? Marriage Markets Amidst Sociodemographic Change in India, 2005–2050
Published in
Demography, January 2015
DOI 10.1007/s13524-014-0366-x
Pubmed ID
Authors

Ridhi Kashyap, Albert Esteve, Joan García-Román

Abstract

We explore the impact of sociodemographic change on marriage patterns in India by examining the hypothetical consequences of applying three sets of marriage pairing propensities-contemporary patterns by age, contemporary patterns by age and education, and changing propensities that allow for greater educational homogamy and reduced educational asymmetries-to future population projections. Future population prospects for India indicate three trends that will impact marriage patterns: (1) female deficit in sex ratios at birth; (2) declining birth cohort size; (3) female educational expansion. Existing literature posits declining marriage rates for men arising from skewed sex ratios at birth (SRBs) in India's population. In addition to skewed SRBs, India's population will experience female educational expansion in the coming decades. Female educational expansion and its impact on marriage patterns must be jointly considered with demographic changes, given educational differences and asymmetries in union formation that exist in India, as across much of the world. We systematize contemporary pairing propensities using data from the 2005-2006 Indian National Family Health Survey and the 2004 Socio-Economic Survey and apply these and the third set of changing propensities to multistate population projections by educational attainment using an iterative longitudinal projection procedure. If today's age patterns of marriage are viewed against age/sex population composition until 2050, men experience declining marriage prevalence. However, when education is included, women-particularly those with higher education-experience a more salient rise in nonmarriage. Significant changes in pairing patterns toward greater levels of educational homogamy and gender symmetry can counteract a marked rise in nonmarriage.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Japan 1 1%
United States 1 1%
Belgium 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Researcher 9 13%
Student > Doctoral Student 8 11%
Student > Bachelor 4 6%
Other 4 6%
Other 12 17%
Unknown 15 21%
Readers by discipline Count As %
Social Sciences 29 41%
Psychology 7 10%
Economics, Econometrics and Finance 5 7%
Arts and Humanities 2 3%
Agricultural and Biological Sciences 2 3%
Other 7 10%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 May 2016.
All research outputs
#3,186,847
of 22,780,165 outputs
Outputs from Demography
#724
of 1,856 outputs
Outputs of similar age
#48,208
of 351,728 outputs
Outputs of similar age from Demography
#6
of 17 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,856 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,728 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.