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Regional disparities in adult height, educational attainment, and late-life cognition: Findings from the Longitudinal Aging Study in India (LASI)

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  • Lee, Jinkook
  • Smith, James P.

Abstract

State policies over time in India may have led to significant differences by sex in population health and cognition. In this paper, we use data from the pilot wave of the Longitudinal Aging Study in India, conducted in Karnataka, Kerala, Punjab, and Rajasthan, to examine state variations in health, educational attainment, and male preference, and how these variations contribute to gender differences in late-life cognition in India. We find men and women born in Punjab are taller than those elsewhere, but do not find any gender differences in height across states with differential male preference. We do find a significant gap in educational attainment that correlates with male preference. We find paternal education benefits both sons and daughters, while maternal education contributes to daughters’ educational attainment. Finally, we find that paternal education benefits daughters’ late-life cognition, while maternal education benefits sons’ late-life cognition, and that children’s education has positive association with older adults’ cognitive functioning as well.

Suggested Citation

  • Lee, Jinkook & Smith, James P., 2014. "Regional disparities in adult height, educational attainment, and late-life cognition: Findings from the Longitudinal Aging Study in India (LASI)," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 26-34.
    • Handle: RePEc:eee:joecag:v:4:y:2014:i:c:p:26-34
    DOI: 10.1016/j.jeoa.2014.02.002
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    Cited by:

    1. Smith, James P., 2021. "The HRS around the world surveys—A review," The Journal of the Economics of Ageing, Elsevier, vol. 18(C).
    2. Lee, Jinkook & McGovern, Mark E. & Bloom, David E. & Arokiasamy, P. & Risbud, Arun & O’Brien, Jennifer & Kale, Varsha & Hu, Peifeng, 2015. "Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data," Economics & Human Biology, Elsevier, vol. 19(C), pages 145-156.
    3. McGovern, Mark E., 2014. "Comparing the relationship between stature and later life health in six low and middle income countries," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 128-148.
    4. Y Selvamani & Pushpendra Singh, 2018. "Socioeconomic patterns of underweight and its association with self-rated health, cognition and quality of life among older adults in India," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    5. Dobrescu, L.I. & Smith, J.P., 2016. "The HRS Around the World Surveys," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 993-1018, Elsevier.
    6. Jinkook Lee & McGovern, Mark E. & David E. Bloom & P. Arokiasamy & Arun Risbud & Jennifer O?Brien & Varsha Kale & Peifeng Hu, 2015. "Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data," Working Paper 228841, Harvard University OpenScholar.

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