Trade and financial ties between low-income countries (LICs) and Brazil, Russia, India, and China (BRICs) have expanded rapidly in recent years. This gives rise to the potential for growth to spill over from the latter to the former. We employ a global vector autoregression (GVAR) model to...

Despite the rapid increase in FDI flows to LICs, there have been relatively few studies that have specifically examined these flows. This paper attempts to partially fill the void by throwing light on one particularly dynamic aspect of global FDI-flows from Brazil, Russia, India and China...

This paper uses an untapped source of satellite-recorded nightlights and gas flaring data to characterize the contraction of economic activity in Yemen throughout the ongoing conflict that erupted in 2015. Using estimated nightlights elasticities on a sample of 72 countries for real GDP and 28...

In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries' predictive GDP growth densities, taking into account cross-country interdependencies. Speci?cally, we...

Monthly economic indicators support policy analysis of current economic developments and forecasting. This paper presents an overview of the data and statistical requirements to develop those indicators taking into account resource constraints that LIC typically face. We review statistical...

This paper is the first attempt to directly explore the long-run nonlinear relationship between the shadow economy and level of development. Using a dataset of 158 countries over the period from 1996 to 2015, our results reveal a robust U-shaped relationship between the shadow economy size and...

This paper seeks to illuminate the uncertainty in official GDP per capita measures using auxiliary data. Using satellite-recorded nighttime lights as an additional measurement of true GDP per capita, we provide a statistical framework, in which the error in official GDP per capita may depend on...