Abhishek Singh, A. Upadhyay, Kaushalendra Kumar, A. Singh, F. Johnson, S. Padmadas
{"title":"印度640个地区重男轻女偏好的空间异质性:小面积估计的应用","authors":"Abhishek Singh, A. Upadhyay, Kaushalendra Kumar, A. Singh, F. Johnson, S. Padmadas","doi":"10.4054/demres.2022.47.26","DOIUrl":null,"url":null,"abstract":"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 1 Corresponding author. Department of Public Health & Mortality Studies and Center of Demography of Gender, International Institute for Population Sciences, Mumbai, India. ORCID ID 0000-0001-6263-4410. Email: abhishek@iipsindia.ac.in. 2 School of Management, Indian Institute of Technology Bombay, Mumbai, India. Email: ashishsingh@som.iitb.ac.in. 3 GENDER Project, International Institute for Population Sciences, Mumbai, India. 4 Department of Population and Health, Faculty of Social Sciences, University of Cape Coast, Ghana. Email: famoakojohnson@ucc.edu.gh. ORCID ID: 0000-0003-0896-937X. 5 Department of Public Health & Mortality Studies and Center for Demography of Gender, International Institute for Population Sciences, Mumbai, India. ORCID ID 0000-0001-5913-0297. Email: kaushal@iipsindia.ac.in. 6 Southampton Statistical Sciences Research Institute, University of Southampton, United Kingdom. ORCID ID: 0000-0002-6538-9374. Email: S.Padmadas@soton.ac.uk. Singh et al.: Spatial heterogeneity in son preference in India 794 https://www.demographic-research.org 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.","PeriodicalId":48242,"journal":{"name":"Demographic Research","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spatial heterogeneity in son preference across India’s 640 districts: An application of small-area estimation\",\"authors\":\"Abhishek Singh, A. Upadhyay, Kaushalendra Kumar, A. Singh, F. Johnson, S. Padmadas\",\"doi\":\"10.4054/demres.2022.47.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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 1 Corresponding author. Department of Public Health & Mortality Studies and Center of Demography of Gender, International Institute for Population Sciences, Mumbai, India. ORCID ID 0000-0001-6263-4410. Email: abhishek@iipsindia.ac.in. 2 School of Management, Indian Institute of Technology Bombay, Mumbai, India. Email: ashishsingh@som.iitb.ac.in. 3 GENDER Project, International Institute for Population Sciences, Mumbai, India. 4 Department of Population and Health, Faculty of Social Sciences, University of Cape Coast, Ghana. Email: famoakojohnson@ucc.edu.gh. ORCID ID: 0000-0003-0896-937X. 5 Department of Public Health & Mortality Studies and Center for Demography of Gender, International Institute for Population Sciences, Mumbai, India. ORCID ID 0000-0001-5913-0297. Email: kaushal@iipsindia.ac.in. 6 Southampton Statistical Sciences Research Institute, University of Southampton, United Kingdom. ORCID ID: 0000-0002-6538-9374. Email: S.Padmadas@soton.ac.uk. Singh et al.: Spatial heterogeneity in son preference in India 794 https://www.demographic-research.org 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. 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Spatial heterogeneity in son preference across India’s 640 districts: An application of small-area estimation
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 1 Corresponding author. Department of Public Health & Mortality Studies and Center of Demography of Gender, International Institute for Population Sciences, Mumbai, India. ORCID ID 0000-0001-6263-4410. Email: abhishek@iipsindia.ac.in. 2 School of Management, Indian Institute of Technology Bombay, Mumbai, India. Email: ashishsingh@som.iitb.ac.in. 3 GENDER Project, International Institute for Population Sciences, Mumbai, India. 4 Department of Population and Health, Faculty of Social Sciences, University of Cape Coast, Ghana. Email: famoakojohnson@ucc.edu.gh. ORCID ID: 0000-0003-0896-937X. 5 Department of Public Health & Mortality Studies and Center for Demography of Gender, International Institute for Population Sciences, Mumbai, India. ORCID ID 0000-0001-5913-0297. Email: kaushal@iipsindia.ac.in. 6 Southampton Statistical Sciences Research Institute, University of Southampton, United Kingdom. ORCID ID: 0000-0002-6538-9374. Email: S.Padmadas@soton.ac.uk. Singh et al.: Spatial heterogeneity in son preference in India 794 https://www.demographic-research.org 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.
期刊介绍:
Demographic Research is a free, online, open access, peer-reviewed journal of the population sciences published by the Max Planck Institute for Demographic Research in Rostock, Germany. The journal pioneers an expedited review system. Contributions can generally be published within one month after final acceptance.