This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...

Chinese aid comes with few strings attached, allowing recipient country leaders to use it for domestic political purposes. The vulnerability of Chinese aid to political capture has prompted speculation that it may be economically ineffective, or even harmful. We test these claims by estimating...

The Black Death killed 40% of Europe's population between 1347-1352, making it one of the largest shocks in the history of mankind. Despite its historical importance, little is known about its spatial effects and the effects of pandemics more generally. Using a novel dataset that provides...

We investigate the informal influence of political leaders’ spouses on the subnational allocation of foreign aid. Building new worldwide datasets on personal characteristics of political leaders and their spouses as well as on geocoded development aid projects (including new data on 19...

We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

Gravity models of international trade have been frequently applied to estimate the impact of common (official or spoken) language on bilateral trade. This study provides a meta-analysis based on 701 language effects collected from 81 academic articles. On average, a common (official or spoken)...

In this paper, we investigate the use of interactive effect or linear factor models in regional policy evaluation. We contrast treatment effect estimates obtained by Bai (2009)'s least squares method with the popular difference in differences estimates as well as with estimates obtained using...

The European Union (EU) provides grants to disadvantaged regions of member states to allow them to catch up with the EU average. Under the Objective 1 scheme, NUTS2 regions with a GDP per capita level below 75% of the EU average qualify for structural funds transfers from the central EU budget....

Climate action requires significant public- and private sector investment to achieve meaningful reductions in carbon emissions. This paper documents that large-scale austerity, coupled with barriers to flows of data and a lack of (digital) skills in (local) government, may have been a...

In this article, we combine machine learning techniques with statistical moments of the gasoline price distribution. By doing so, we aim to detect and predict cartels in the Brazilian retail market. In addition to the traditional variance screen, we evaluate how the standard deviation,...