How should resource-rich economies handle the balance of payments adjustment required after commodity price declines? This paper addresses the question theoretically by developing a simple two-period multi-sector model based on Nakatani (2016) to compare different exchange rate policies, and...

News - or foresight - about future economic fundamentals can create rational expectations equilibria with non-fundamental representations that pose substantial challenges to econometric efforts to recover the structural shocks to which economic agents react. Using tax policies as a leading...

External headwinds, together with domestic vulnerabilities, have loomed over the prospects of emerging markets in recent years. We propose an empirical toolbox to quantify the impact of external macro-financial shocks on domestic economies in parsimonious way. Our model is a Bayesian VAR...

We produce a social unrest risk index for 125 countries covering a period of 1996 to 2020. The risk of social unrest is based on the probability of unrest in the following year derived from a machine learning model drawing on over 340 indicators covering a wide range of macro-financial,...

Do governments in Latin America tend to be optimistic when preparing budgetary projections? We address this question by constructing a novel dataset of the authorities' fiscal forecasts in six Latin American economies using data from annual budget documents over the period 2000-2018. In turn, we...

In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random...