We show that the contemporaneous and longer horizon impulse responses estimated using small-scale Proxy structural vector autoregressions (SVARs) can be severely biased in the presence of information insufficiency. Instead, we recommend the use of a Proxy Factor Augmented VAR (FAVAR) model that...

This paper aims at improving the application of the learning curve, a popular tool used for forecasting future costs of renewable technologies in integrated assessment models (IAMs). First, we formally discuss under what assumptions the traditional (OLS) estimates of the learning curve can...

We study the impact of natural resource royalties on educational outcomes in Colombia. We analyze a reform enacted in 2012 that made the distribution of these royalties more equitable. Before the reform, most royalties were assigned to the regions where the natural resources were exploited; with...