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Aging Population and Economic Growth in Developing Countries: A Quantile Regression Approach

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  • Thach Ngoc Pham
  • Duc Hong Vo

Abstract

The economic effects and consequences of an aging population on economic growth in terms of productivity and demand have attracted great attention from policy makers, particular in emerging countries. This study examines the effect of an aging population on economic growth in 84 developing countries in the period 1971–2015, using panel fixed effects and quantile regression. The results confirm a negative effect on economic growth in the long run from having a high share of young people (14 years old and younger). However, in the long run, a positive relationship exists between the share of those 65 and older and economic performance. The quantile regression results confirm the importance of an aging population on economic growth at most percentiles. However, from lower to higher percentiles, the estimated magnitudes differ.

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  • Thach Ngoc Pham & Duc Hong Vo, 2021. "Aging Population and Economic Growth in Developing Countries: A Quantile Regression Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(1), pages 108-122, January.
    • Handle: RePEc:mes:emfitr:v:57:y:2021:i:1:p:108-122
    DOI: 10.1080/1540496X.2019.1698418
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    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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