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Economic inequality by age and its implications for inequity for living generations in India: evidence based on National Transfer Accounts

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  • M. R. Narayana

    (Government of Karnataka)

Abstract

Using the framework of National Transfer Accounts (NTA), this paper calculates the economic inequalities by age and analyses its implications of inequity for the living generations in India. Economic inequality is measured by the standard Gini coefficient using household consumption and labour income data from the official national sample surveys. Inequity for the living generations is measured by the NTA’s concept of Lifecycle Deficit for four age groups (Young, Youth, Adults and Elderly). To highlight the nature and magnitude of inequity by types of economic inequalities and years, both income and consumption inequalities are calculated by age for financial year 2004–2005 and 2011–2012. Economic inequalities by age are integrated into the inequities for the living generations by modifying the Sen’s measure of inequality-discounted per capita income. Main results show that higher inequalities result in larger and differential impacts on inequity of the living generations. In particular, the income inequality has a larger effect on increasing inequity than consumption inequality. These results offer unambiguous evidence for the age-specific inequality effects on inequity in the living generations and show important implications in India’s policies for design of broader and complementary distributional objectives in terms of simultaneous reduction in economic inequalities and inequities for the living generations. Subject to comparability of socio-economic structure in a generational economy like India, the methodology and implications of this paper are of general relevance and applicability for developing countries in the Asia–Pacific Region and elsewhere in the world.

Suggested Citation

  • M. R. Narayana, 2021. "Economic inequality by age and its implications for inequity for living generations in India: evidence based on National Transfer Accounts," Asia-Pacific Journal of Regional Science, Springer, vol. 5(2), pages 373-396, June.
  • Handle: RePEc:spr:apjors:v:5:y:2021:i:2:d:10.1007_s41685-020-00184-2
    DOI: 10.1007/s41685-020-00184-2
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    References listed on IDEAS

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    1. Wang, Feng & Shen, Ke & Cai, Yong, 2019. "Expansion of public transfers in China: Who are the beneficiaries?," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    2. Sabyasachi Tripathi & Komali Yenneti, 2020. "Measurement of Multidimensional Poverty in India: A State-level Analysis," Indian Journal of Human Development, , vol. 14(2), pages 257-274, August.
    3. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931.
    4. Qin, Yongsong & Rao, J.N.K. & Wu, Changbao, 2010. "Empirical likelihood confidence intervals for the Gini measure of income inequality," Economic Modelling, Elsevier, vol. 27(6), pages 1429-1435, November.
    5. World Bank & International Monetary Fund, 2016. "Global Monitoring Report 2015/2016," World Bank Publications - Books, The World Bank Group, number 22547.
    6. Ladusingh, Laishram & Narayana, M. R., 2011. "Demographic Dividends for India: Evidence and Implications Based on National Transfer Accounts," ADB Economics Working Paper Series 292, Asian Development Bank.
    7. Cruz, Marcio & Ahmed, S. Amer, 2018. "On the impact of demographic change on economic growth and poverty," World Development, Elsevier, vol. 105(C), pages 95-106.
    8. Narayan,Ambar & Murgai,Rinku, 2016. "Looking back on two decades of poverty and well-being in India," Policy Research Working Paper Series 7626, The World Bank.
    9. Himanshu, 2019. "Inequality in India: A review of levels and trends," WIDER Working Paper Series wp-2019-42, World Institute for Development Economic Research (UNU-WIDER).
    10. Gradín, Carlos & Wu, Binbin, 2020. "Income and consumption inequality in China: A comparative approach with India," China Economic Review, Elsevier, vol. 62(C).
    11. Lerman, Robert I & Yitzhaki, Shlomo, 1985. "Income Inequality Effects by Income," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 151-156, February.
    12. Ronald Lee & Andrew Mason (ed.), 2011. "Population Aging and the Generational Economy," Books, Edward Elgar Publishing, number 13816.
    13. Morné Oosthuizen, 2019. "Inequality and the generational economy: Race-disaggregated National Transfer Accounts for South Africa, 2015," WIDER Working Paper Series wp-2019-24, World Institute for Development Economic Research (UNU-WIDER).
    14. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," The World Bank Research Observer, World Bank, vol. 20(2), pages 177-199.
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    More about this item

    Keywords

    Living generations; Inequity; Lifecycle deficit; National transfer accounts; Income inequality; Consumption inequality; Gini coefficient;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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