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Longitudinal Aging Study in India: Vision, Design, Implementation, and Some Early Results

Author

Listed:
  • P. Arokiasamy

    (International Institute for Population Sciences)

  • David E. Bloom

    (Harvard School of Public Health)

  • Jinkook Lee

    (RAND)

  • Kevin Feeney

    (RAND)

  • Marija Ozolins

    (Harvard School of Public Health)

Abstract

India is poised to experience a dramatic rise in its aging population in coming decades, yet comprehensive research and effective policy to confront this transition are lacking. According to projections constructed by the United Nations Population Division, the share of Indians aged 60 and over will increase from 8% today to 19% by 2050 (representing 323 million people, more than the entire US population in 2011). This demographic shift will pose significant challenges. India’s traditional reliance on private family networks to provide older people with care, companionship, and financial support will be stressed not only by the increasing number of aging Indians who rely on it, but also by changing household dynamics and patterns of spatial mobility among younger family members. The Longitudinal Aging Study in India (LASI) is intended to inform the design and expansion of a new generation of institutions – public and private – for the care and support of India’s population of older people by providing comprehensive data to the scientific and policy community. LASI is an evidence base for analyzing the (1) health, (2) economic and financial resources, and (3) living arrangements and social connections of older Indians. It enhances opportunities for cross-national analysis by adding India to the growing number of countries with harmonized data on their older populations. LASI surveys will be carried out every two years, providing longitudinal data to support research and policy development. This paper provides an overview of the conception and content of the 2010 LASI pilot survey that was conducted in four states: Punjab, Rajasthan, Karnataka, and Kerala. We highlight key aspects of the field work, such as response rates and interview duration, and discuss the breadth and quality of the economic, health, and social data collected. We pay close attention to the cultural and geographic diversity LASI is able to capture, and bring to light interesting patterns in, and relationships among, measures of health, social connectedness, labor force participation, and hardship among the elderly.

Suggested Citation

  • P. Arokiasamy & David E. Bloom & Jinkook Lee & Kevin Feeney & Marija Ozolins, 2011. "Longitudinal Aging Study in India: Vision, Design, Implementation, and Some Early Results," PGDA Working Papers 8211, Program on the Global Demography of Aging.
    • Handle: RePEc:gdm:wpaper:8211
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    References listed on IDEAS

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    1. Jinkook Lee & Regina A. Shih & Kevin Carter Feeney & Kenneth M Langa, 2011. "Cognitive Health of Older Indians Individual and Geographic Determinants of Female Disadvantage," Working Papers 889, RAND Corporation.
    2. Jinkook Lee & P. Arokiasamy & Amitabh Chandra & Peifeng Hu & Jenny Liu & Kevin Carter Feeney, 2011. "Markers and Drivers Cardiovascular Health of Middle-Age and Older Indians," Working Papers 888, RAND Corporation.
    3. David E. Bloom & David Canning & Günther Fink, 2008. "Population Aging and Economic Growth," World Bank Publications - Books, The World Bank Group, number 28027, December.
    4. M.H. Suryanarayana, 2008. "Morbidity Profiles of Kerala and All-India - An Economic Perspective," Development Economics Working Papers 22350, East Asian Bureau of Economic Research.
    5. Husain, Zakir & Ghosh, Saswata, 2010. "Is health status of elderly worsening in India:A comparison of successive rounds of National Sample Survey data," MPRA Paper 25747, University Library of Munich, Germany.
    6. Jinkook Lee & Regina A. Shih & Kevin Carter Feeney & Kenneth M Langa, 2011. "Cognitive Health of Older Indians Individual and Geographic Determinants of Female Disadvantage," Working Papers WR-889, RAND Corporation.
    7. Sarmistha Pal & Robert Palacios, 2011. "Understanding Poverty among the Elderly in India: Implications for Social Pension Policy," Journal of Development Studies, Taylor & Francis Journals, vol. 47(7), pages 1017-1037.
    8. Jinkook Lee, 2010. "Data sets on pensions and health: Data collection and sharing for policy design," International Social Security Review, John Wiley & Sons, vol. 63(3‐4), pages 197-222, July.
    9. Delavande, Adeline & Giné, Xavier & McKenzie, David, 2011. "Measuring subjective expectations in developing countries: A critical review and new evidence," Journal of Development Economics, Elsevier, vol. 94(2), pages 151-163, March.
    10. Bakshi, Sanjeev & Pathak, Prasanta, 2010. "Who works at older ages? the correlates of economic activity and temporal changes in their effects: evidences from India," MPRA Paper 23246, University Library of Munich, Germany, revised 11 Jun 2010.
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    Cited by:

    1. Laishram Ladusingh & Melody Thangjam, 2021. "Policy reforms and changing intergenerational support of elderly in India," Journal of Population Research, Springer, vol. 38(4), pages 401-416, December.
    2. Yatish Kumar & Priya Bhakat, 2022. "Social Capital in Old-Age and the Role of the Social Marginalisation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 371-388, August.
    3. Pushpendra Singh & Dipti Govil & Virendra Kumar & Jitendra Kumar, 2017. "Cognitive Impairment and Quality of Life among Elderly in India," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(4), pages 963-979, December.
    4. Preeti Dhillon & Laishram Ladusingh, 2013. "Working life gain from gain in old age life expectancy in India," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(26), pages 733-762.

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    Keywords

    aging; longitudinal; India;
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