Estimates of the natural interest rate are often useful in the analysis of monetary and other macroeconomic policies. The topic gathered much attention following the great financial crisis and the Euro Area debt crisis due to the uncertainty regarding the timing of monetary policy normalization...

Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with...

This paper analyzes the potential risks and vulnerabilities of non-financial corporates in Latin America and Canada. We quantify the impact of company-specific, countryspecific, and global factors in driving corporate spreads. Overall, we found that all these factors play a role in explaining...

This paper investigates the effects of the adoption of inflation targeting (IT) on the choice of exchange rate regime in emerging markets (EMs), conditional on certain macroeconomic conditions. Using a large sample of EMs and after controlling for the selection bias associated with the adoption...

This paper presents a novel framework to estimate the elasticity between nighttime lights and quarterly economic activity. The relationship is identified by accounting for varying degrees of measurement errors in nighttime light data across countries. The estimated elasticity is 1.55 for...

The COVID-19 pandemic further extended the multi-year housing boom in advanced economies and emerging markets alike against massive monetary easing during the pandemic. In this paper, we analyze the pricing-out phenomenon in the U.S. residential housing market due to higher house prices...

This paper introduces methods that allow analysts to (i) decompose the estimates of unobserved quantities into observed data, (ii) to better understand revision properties of the model, and (iii) to impose subjective prior constraints on path estimates of unobserved shocks in structural economic...

Global financial conditions are poised to tighten further as the global recovery proceeds. While monetary policy normalization should be a healthy global development as growth continues to recover in advanced economies, financial spillovers seen during the taper episode-which started with the...

Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are...

We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms' accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient...