This analysis of the extent of trade integration of sub-Saharan African (SSA) countries in the global economy as well as within the region over the 1995–2013 period focuses on four key concepts: (1) trade openness, captured by import and export flows; (2) the centrality in the global and regional trade network, a measure that takes into account not only the size of trade but also the number of trade partners and the respective weight of these trade partners in global trade; (3) gravity model estimates that account for country- and region-specific determinants of bilateral trade flows; and (4) global value chain (GVC) integration. Using both existing data and a newly available dataset based on multiregion input and output tables, this analysis led to several findings: (1) trade openness has increased strongly; (2) integration in the global economy has made the region more vulnerable to external shocks; (3) levels of trade flows emanating from sub-Saharan Africa are still only half the magnitude of those experienced elsewhere in the world; (4) the region still has ways to go to better integrate in GVCs; and (5) it is more critical than ever to make progress in filling the infrastructure gap by lowering tariff and nontariff barriers, improving the business climate and access to credit, and continuing to enhance education outcomes.
We estimate the average fiscal multiplier, allowing multipliers to be heterogeneous across countries or over time and correlated with the size of government spending. We demonstrate that this form of nonseparable unobserved heterogeneity is empirically relevant and address it by estimating a correlated random coefficient model. Using a panel dataset of 127 countries over the period 1994-2011, we show that not accounting for omitted heterogeneity produces a significant downward bias in conventional multiplier estimates. We rely on both crosssectional and time-series variation in spending shocks, exploiting the differential effects of oil price shocks on fuel subsidies, to identify the average government spending multiplier. Our estimates of the average multiplier range between 1.4 and 1.6.
This analysis of the extent of trade integration of sub-Saharan African (SSA) countries in the global economy as well as within the region over the 1995–2013 period focuses on four key concepts: (1) trade openness, captured by import and export flows; (2) the centrality in the global and regional trade network, a measure that takes into account not only the size of trade but also the number of trade partners and the respective weight of these trade partners in global trade; (3) gravity model estimates that account for country- and region-specific determinants of bilateral trade flows; and (4) global value chain (GVC) integration. Using both existing data and a newly available dataset based on multiregion input and output tables, this analysis led to several findings: (1) trade openness has increased strongly; (2) integration in the global economy has made the region more vulnerable to external shocks; (3) levels of trade flows emanating from sub-Saharan Africa are still only half the magnitude of those experienced elsewhere in the world; (4) the region still has ways to go to better integrate in GVCs; and (5) it is more critical than ever to make progress in filling the infrastructure gap by lowering tariff and nontariff barriers, improving the business climate and access to credit, and continuing to enhance education outcomes.
We estimate the average fiscal multiplier, allowing multipliers to be heterogeneous across countries or over time and correlated with the size of government spending. We demonstrate that this form of nonseparable unobserved heterogeneity is empirically relevant and address it by estimating a correlated random coefficient model. Using a panel dataset of 127 countries over the period 1994-2011, we show that not accounting for omitted heterogeneity produces a significant downward bias in conventional multiplier estimates. We rely on both crosssectional and time-series variation in spending shocks, exploiting the differential effects of oil price shocks on fuel subsidies, to identify the average government spending multiplier. Our estimates of the average multiplier range between 1.4 and 1.6.
How can governments reduce the prevalence of cross-border tax fraud? This paper argues that the use of digital technologies offers an opportunity to reduce fraud and increase government revenue. Using data on intra-EU and world trade transactions, we present evidence that (i) cross-border trade tax fraud is non-trivial and prevalent in many countries; (ii) such fraud can be alleviated by the use of digital technologies at the border; and (iii) potential revenue gains of digitalization from reducing trade fraud could be substantial. Halving the distance to the digitalization frontier could raise revenues by over 1.5 percent of GDP in low-income developing countries.
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