Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric...

We assess the competitiveness of Mauritius in recent years using two approaches. First, we estimate the difference between the equilibrium and the actual real exchange rate using four methods: the macroeconomic balance approach, the single-equation fundamentals approach, the capital-enhanced...

We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty estimates, the sign and magnitude of which...

We analyze the growth impact of official development assistance to developing countries. Our approach is different from that of previous studies in two major ways. First, we disentangle the effects of two kinds of aid: developmental and non-developmental. Second, our specifications allow for the...

In this paper we explore the properties of the global banking network using cross-border bank lending data for 184 countries over 1978-2009. Specifically, we analyze financial interconnectedness using network metrics of centrality, connectivity, and clustering. We document a relatively unstable...

We examine the composition and drivers of cross-border bank lending between 1995 and 2012, distinguishing between syndicated and non-syndicated loans. We show that on-balance sheet syndicated loan exposures account for almost one third of total cross-border loan exposures during this period....

We examine the cyclical properties of development aid using bilateral data for 22 donors and over 100 recipients during 1970?2005. We find that bilateral aid flows are on average procyclical with respect to business cycles in donor and recipient countries. However, they become countercyclical...

The global financial crisis has reignited interest in models of crisis prediction. It has also raised the question whether financial connectedness - a possible source of systemic risk - can serve as an early warning indicator of crises. In this paper we examine the ability of connectedness in...

We examine the role of bank balance sheet strength in the transmission of financial sector shocks to the real economy. Using data from the syndicated loan market, we exploit variation in banks’ reliance on wholesale funding and their structural liquidity positions in 2007Q2 to estimate the...

We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty estimates, the sign and magnitude of which...