How Significant Is Sub‐Saharan Africa's Demographic Dividend for Its Future Growth and Poverty Reduction?

Sub‐Saharan Africa will be undergoing substantial demographic changes over the next 15 years with the rising working‐age share of its population. The opportunity of African countries to convert these changes into demographic dividends for growth and poverty reduction will depend on several factors. The outlook will likely be good if African countries can continue the gains already made under better institutions and policies, particularly those affecting the productivity of labor, such as educational outcomes. If African countries can continue to build on the hard‐won development gains, the demographic dividend could account for 11–15% of gross domestic product (GDP) volume growth by 2030, while accounting for 40–60 million fewer poor in 2030. The gains can become more substantial with better educational outcomes that allow African countries to catch up to other developing countries. If the skill share of Africa's labor supply doubles because of improvements in educational attainment, from 25 to about 50% between 2011 and 2030, then the demographic dividends can expand the regional economy additionally by 22% by 2030 relative to the base case and reduce poverty by an additional 51 million people.     

FINANCIAL DEVELOPMENT ON GROWTH CONVERGENCE

This paper investigates whether the impacts of financial development on growth convergence vary with the stage of real development. We implement this analysis through the instrumental variable threshold regression approach proposed by Caner and Hansen. Our empirical evidence shows that financial intermediary development leads to long‐run convergence in growth of both economic activity and productivity. Moreover, such convergence‐enhancing effects of financial intermediation are stronger for less‐developed countries than for the more industrialized. In addition, the data reveal that stock market development assists growth convergence only in low‐income countries.     

Is there Causal Relationship between Money Supply Growth and Inflation in China? Evidence from Quantity Theory of Money

This study examines the causal relationship between Chinese money supply growth and inflation, using the bootstrap Granger full‐sample causality test and sub‐sample rolling‐window estimation test to determine whether such a relationship in China supports the quantity theory of money. The result indicates that there is a unidirectional relationship from inflation to money supply growth. However, considering structural changes in two series, we find that short‐run relationships using full‐sample data are unstable, which suggests that full‐sample causality tests cannot be relied upon. Then, we use a time‐varying rolling‐window approach to revisit the dynamic causal relationship, and the results show that money supply growth has both positive and negative impacts on inflation in several sub‐periods, and in turn, inflation has the same effects on money supply growth for China. These findings are basically consistent with the modern quantity theory of money from the perspective of money supply and price level. When money supply growth does not outweigh output growth, inflation should not be curbed only by decreasing money supply. It notes that a stable money supply growth is critical to price level stability and economic development in China.     

Do Education and Income Really Explain Inequalities in Health? Applying a Twin Design

We apply a twin design to examine the relationship between health and education and income. The estimated associations between health and education and income, controlling for unobserved endowments, at the twin‐pair level, are lower than estimates obtained via ordinary least‐squares (OLS) on the same sample. Thus, OLS‐based effects of education and income are biased, exaggerating the contribution of education and income to health inequality. The main part of health inequality is explained by within‐twin‐pair fixed effects, incorporating family background and genetic inheritance. It appears that education and income policies have less to offer for reducing health inequality than is usually assumed.