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.

We de-compose the S\u26P Goldman Sachs Commodity Index into its underlying commodity sub-categories and develop a modified conditional value at risk (CVaR) metric to examine downside risk linked to economic periods which are classified by their GDP growth as green, yellow, orange and red. We term this new metric economic CVaR (ECVaR). We found significant differences in the relative ECVaR rankings of different commodities over our different economic cycles