The University of Southampton
University of Southampton Institutional Repository

Like mother(-in-law) like daughter? Influence of the older generation’s fertility behaviours on women’s desired family size in Bihar, India

Like mother(-in-law) like daughter? Influence of the older generation’s fertility behaviours on women’s desired family size in Bihar, India
Like mother(-in-law) like daughter? Influence of the older generation’s fertility behaviours on women’s desired family size in Bihar, India
This paper investigates the associations between preferred family size of women in rural Bihar, India and the fertility behaviours of their mother and mother-in-law. Scheduled interviews of 440 pairs of married women aged 16–34 years and their mothers-in-law were conducted in 2011. Preferred family size is first measured by Coombs scale, allowing us to capture latent desired number of children and then categorized into three categories (low, medium and high). Women’s preferred family size is estimated using ordered logistic regression. We find that the family size preferences are not associated with mother’s fertility but with mother’s education. Mother-in-law’s desired number of grandchildren is positively associated with women’s preferred family size. However, when the woman has higher education than her mother-in-law, her preferred family size gets smaller, suggesting that education provides women with greater autonomy in their decision-making on childbearing.
0168-6577
1-32
Kumar, Abhishek
23078539-c9f9-4955-96ff-3ba9d1bd8bf5
Bordone, Valeria
88af471f-1f47-440e-9546-7e83912c71a9
Muttarak, Raya
3a274816-03d7-492c-9f90-0d393b01ce5d
Kumar, Abhishek
23078539-c9f9-4955-96ff-3ba9d1bd8bf5
Bordone, Valeria
88af471f-1f47-440e-9546-7e83912c71a9
Muttarak, Raya
3a274816-03d7-492c-9f90-0d393b01ce5d

Kumar, Abhishek, Bordone, Valeria and Muttarak, Raya (2016) Like mother(-in-law) like daughter? Influence of the older generation’s fertility behaviours on women’s desired family size in Bihar, India. European Journal of Population, 1-32. (doi:10.1007/s10680-016-9379-z).

Record type: Article

Abstract

This paper investigates the associations between preferred family size of women in rural Bihar, India and the fertility behaviours of their mother and mother-in-law. Scheduled interviews of 440 pairs of married women aged 16–34 years and their mothers-in-law were conducted in 2011. Preferred family size is first measured by Coombs scale, allowing us to capture latent desired number of children and then categorized into three categories (low, medium and high). Women’s preferred family size is estimated using ordered logistic regression. We find that the family size preferences are not associated with mother’s fertility but with mother’s education. Mother-in-law’s desired number of grandchildren is positively associated with women’s preferred family size. However, when the woman has higher education than her mother-in-law, her preferred family size gets smaller, suggesting that education provides women with greater autonomy in their decision-making on childbearing.

Text
art%3A10.1007%2Fs10680-016-9379-z.pdf - Version of Record
Available under License Creative Commons Attribution.
Download (900kB)

More information

Accepted/In Press date: 24 February 2016
e-pub ahead of print date: 6 April 2016
Organisations: Gerontology

Identifiers

Local EPrints ID: 393070
URI: http://eprints.soton.ac.uk/id/eprint/393070
ISSN: 0168-6577
PURE UUID: 91c0d9e6-de3a-4b7c-b738-eebc641c184f

Catalogue record

Date deposited: 20 Apr 2016 13:16
Last modified: 14 Mar 2024 23:54

Export record

Altmetrics

Contributors

Author: Abhishek Kumar
Author: Valeria Bordone
Author: Raya Muttarak

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×