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India’s Demographic Dividend: The Millennials’ Savings Conundrum

Author

Listed:
  • Karuna Bohini
  • C. Hussain Yaganti
  • Mini P. Thomas

Abstract

India’s working-age group has been over 60 per cent of its population for over two decades, with a record high of 66 per cent in 2018. The gross domestic savings (GDS), yet, plummeted during the previous decade, recording a low of 29.34 per cent in 2018. This is a divergence from the demographic theories which indicate that a rising working-age population will increase savings. Past research on India’s demographic transitioning implications on economic growth and demographic dividend focused on the working-age group. This article brings in a new dimension to existing studies and analyses savings trends by examining working-age youth, and the millennials within this subgroup, in particular. By considering data from between 1980 and 2017, the article investigates the influence of these two demographic variables on the GDS, along with key macroeconomic variables. The estimation techniques applied are the autoregressive distributed lag (ARDL) cointegration technique and the vector error correction model (ECM). The results indicate that the millennial youth’s influence on GDS is statistically significant. Though the long-term influence of the millennial youth working-age group indicates a positive effect on GDS, the adverse impact reflected in the short run may be pointing towards the future financial sustainability of this segment. Although youth savings are expected to be the lowest in the working-age segment, the significant fall in the youth ratio of employment-to-population in the 20–29 years segment, especially since 2005 onwards, raises the thrust for youth policies that can unravel the millennial savings conundrum and thereby pave the way for India’s demographic dividend.

Suggested Citation

  • Karuna Bohini & C. Hussain Yaganti & Mini P. Thomas, 2022. "India’s Demographic Dividend: The Millennials’ Savings Conundrum," Millennial Asia, , vol. 13(1), pages 108-141, April.
  • Handle: RePEc:sae:millen:v:13:y:2022:i:1:p:108-141
    DOI: 10.1177/0976399620958262
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    1. David E. Bloom & David Canning & Günther Fink, 2010. "Implications of population ageing for economic growth," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(4), pages 583-612, Winter.
    2. T. Paul Schultz, 2004. "Demographic Determinants of Savings: Estimating and Interpreting the Aggregate Association in Asia," Working Papers 901, Economic Growth Center, Yale University.
    3. Anindya Banerjee & Juan Dolado & Ricardo Mestre, 1998. "Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 267-283, May.
    4. David E. Bloom & David Canning, 2004. "Global demographic change : dimensions and economic significance," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, issue Aug, pages 9-56.
    5. V N Balasubramanyam & V Mahambare, 2000. "Liberalisation and savings in developing countries: the case of India," Working Papers 539675, Lancaster University Management School, Economics Department.
    6. Belloumi, Mounir, 2014. "The relationship between trade, FDI and economic growth in Tunisia: An application of the autoregressive distributed lag model," Economic Systems, Elsevier, vol. 38(2), pages 269-287.
    7. Athukorala, Prema-chandra & Sen, Kunal, 2004. "The Determinants of Private Saving in India," World Development, Elsevier, vol. 32(3), pages 491-503, March.
    8. Borensztein, E. & De Gregorio, J. & Lee, J-W., 1998. "How does foreign direct investment affect economic growth?1," Journal of International Economics, Elsevier, vol. 45(1), pages 115-135, June.
    9. Bloom, David E & Williamson, Jeffrey G, 1998. "Demographic Transitions and Economic Miracles in Emerging Asia," The World Bank Economic Review, World Bank, vol. 12(3), pages 419-455, September.
    10. Modigliani, Franco, 1986. "Life Cycle, Individual Thrift, and the Wealth of Nations," American Economic Review, American Economic Association, vol. 76(3), pages 297-313, June.
    11. Bloom, David E. & Freeman, Richard B., 1988. "Economic development and the timing and components of population growth," Journal of Policy Modeling, Elsevier, vol. 10(1), pages 57-81, April.
    12. Uddin, Gazi A. & Alam, Khorshed & Gow, Jeff, 2016. "Population age structure and savings rate impacts on economic growth: Evidence from Australia," Economic Analysis and Policy, Elsevier, vol. 52(C), pages 23-33.
    13. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    14. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    15. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114, June.
    16. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114.
    17. Subrata Ghatak & Jalal Siddiki, 2001. "The use of the ARDL approach in estimating virtual exchange rates in India," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(5), pages 573-583.
    18. repec:lan:wpaper:4052 is not listed on IDEAS
    19. Alfred A. Haug, 2002. "Temporal Aggregation and the Power of Cointegration Tests: a Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 399-412, September.
    20. David E. Bloom, 2011. "Population Dynamics in India and Implications for Economic Growth," PGDA Working Papers 6511, Program on the Global Demography of Aging.
    21. Gel, Yulia R. & Gastwirth, Joseph L., 2008. "A robust modification of the Jarque-Bera test of normality," Economics Letters, Elsevier, vol. 99(1), pages 30-32, April.
    22. repec:lan:wpaper:3767 is not listed on IDEAS
    23. Matthew Higgins & Jeffrey G. Williamson, 1996. "Asian Demography and Foreign Capital Dependence," NBER Working Papers 5560, National Bureau of Economic Research, Inc.
    24. repec:lan:wpaper:3658 is not listed on IDEAS
    25. David E. Bloom & David Canning & Jaypee Sevilla, 2001. "Economic Growth and the Demographic Transition," NBER Working Papers 8685, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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