Aging Population and Economic Growth in Developing Countries: A Quantile Regression Approach
Thach Ngoc Pham and
Duc Hong Vo
Emerging Markets Finance and Trade, 2021, vol. 57, issue 1, 108-122
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.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2019.1698418 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Ageing Population and Economic Growth in Developing Countries A Quantile Regression Approach (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mes:emfitr:v:57:y:2021:i:1:p:108-122
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20
DOI: 10.1080/1540496X.2019.1698418
Access Statistics for this article
More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().