Investigating the Structure of Son Bias in Armenia With Novel Measures of Individual Preferences.


Journal

Demography
ISSN: 1533-7790
Titre abrégé: Demography
Pays: United States
ID NLM: 0226703

Informations de publication

Date de publication:
01 10 2021
Historique:
pubmed: 7 9 2021
medline: 8 3 2022
entrez: 6 9 2021
Statut: ppublish

Résumé

Sex ratios at birth favoring boys are being documented in a growing number of countries, a pattern indicating that families selectively abort females. Son bias also explains why, in many countries, girls have more siblings and are born at relatively earlier parities compared with their brothers. In this study, we develop novel methods for measuring son bias using both questionnaire items and implicit association tests, and we collect data on fertility preferences and outcomes from 2,700 participants in Armenia. We document highly skewed sex ratios, suggesting that selective abortions of females are widespread among parents in our sample. We also provide evidence that sex-selective abortions are underreported, which highlights the problem of social desirability bias. We validate our methods and demonstrate that conducting implicit association tests can be a successful strategy for measuring the relative preference for sons and daughters when social desirability is a concern. We investigate the structure of son-biased fertility preferences within households, across families, and between regions in Armenia, using measures of son bias at the level of the individual decision-maker. We find that men are, on average, considerably more son-biased than women. We also show that regional differences in son bias exist and that they appear unrelated to the socioeconomic composition of the population. Finally, we estimate the degree of spousal correlation in son bias and discuss whether husbands are reliably more son-biased than their wives.

Identifiants

pubmed: 34486643
pii: 178812
doi: 10.1215/00703370-9429479
pmc: PMC9014863
mid: NIHMS1787679
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1737-1764

Subventions

Organisme : NICHD NIH HHS
ID : T32 HD007338
Pays : United States

Informations de copyright

Copyright © 2021 The Authors.

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Auteurs

Matthias Schief (M)

Department of Economics, Brown University, Providence, RI, USA.

Sonja Vogt (S)

Faculty of Business and Economics, University of Lausanne, Lausanne, Switzerland; Centre for Development and Environment, University of Bern, Bern, Switzerland.

Charles Efferson (C)

Faculty of Business and Economics, University of Lausanne, Lausanne, Switzerland.

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