Volume 47 - Article 26 | Pages 793–842
Spatial heterogeneity in son preference across India’s 640 districts: An application of small-area estimation
|Date received:||03 Feb 2022|
|Date published:||01 Dec 2022|
|Keywords:||census, India, model-based small-area estimation, National Family Health Surveys (NFHS), son preference|
Background: Son preference is culturally rooted across generations in India. While the social and economic implications of son preference are widely acknowledged, there is little evidence on spatial heterogeneity, especially at the district level.
Objective: To derive estimates of son preference for the 640 districts of India and examine spatial heterogeneity in son preference across the districts of India.
Methods: We apply model-based Small-Area Estimation (SAE) techniques, linking data from the 2015–2016 Indian National Family Health Survey and the 2011 Indian Population and Housing Census to generate district-level estimates of son preference.
Results: The diagnostic measures confirm that the model-based estimates are robust enough to provide reliable estimates of son preference at the district level. Son preference is highest in the districts across northern and central Indian states, followed by districts in Gujarat and Maharashtra, and lowest in the southern districts in Telangana, Andhra Pradesh, Kerala, and Tamil Nadu.
Conclusions: There is considerable heterogeneity in son preference across Indian districts, often masked by state-level average estimates. Our findings warrant urgent policy interventions targeting specific districts in India to tackle the ongoing son-preference attitudes and practices.
Contribution: Our study demonstrates the power of SAE techniques to generate robust estimates of son preference at the district level. This study is the first of its kind to examine spatial patterns in parity-specific son preference at the district level in India.
Abhishek Singh - International Institute for Population Sciences (IIPS), India
Ashish Kumar Upadhyay - International Institute for Population Sciences (IIPS), India
Kaushalendra Kumar - International Institute for Population Sciences (IIPS), India
Ashish Singh - Indian Institute of Technology, Bombay, India
Fiifi Amoako Johnson - University of Cape Coast, Ghana
Sabu S. Padmadas - University of Southampton, United Kingdom
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