We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...

Political proximity between donor and recipient governments may impair the effectiveness of aid by encouraging favoritism. By contrast, political misalignment between donor and recipient governments may render aid less effective by adding to transaction costs and giving rise to incentive...

This paper empirically analyzes the impact of aid on education for about 100 countries over the period 1970-2005. We estimate a system of equations to test whether and to what extent the impact of sector-specific aid on educational attainment depends on (i) the extent to which aid adds to...

We analyze the aid portfolio of various bilateral and multilateral donors, testing whether they have prioritised aid in line with the Millennium Development Goals (MDGs). In doing so, we combine sectorally disaggregated aid data with indicators reflecting the situation of recipient countries...

Using panel data for 143 countries over the period 1973-2002, this paper empirically analyzes the influence of US aid on voting patterns in the UN General Assembly. We use disaggregated aid data to account for the fact that various forms of aid may differ in their ability to induce political...

We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...