Anecdotal evidence suggests the existence of specific choke points in the global trade network revealed especially after natural disasters (e.g. hard drive components and Thailand flooding, Japanese auto components post-Fukushima, etc.). Using a highly disaggregated international trade database...

This paper investigates the developments in house price synchronization across countries bya dynamic factor model using a country- and city-level dataset, and examines what drives thesynchronization. The empirical results indicate that: (i) the degree of synchronization hasbeen rising since the...

We build a factor-augmented interacted panel vector-autoregressive model of the Euro Area (EA) and estimate it with Bayesian methods to compute government spending multipliers. The multipliers are contingent on the overall monetary policy stance, captured by a shadow monetary policy rate. In the...

This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning...

We compute government spending multipliers for the Euro Area (EA) contingent on the interestgrowthdifferential, the so-called r-g. Whether the fiscal shock occurs when r-g is positive or negativematters for the size of the multiplier. Median estimates vary conditional on the specification, but...

This study focuses on identifying the main factors that influenced country-specific and aggregate demand for IMF concessional financing between 1986 and 2018 and makes within-period and out-of-period forecasts. We find that the external debt level, inflation, and real effective exchange rate are...

We present a simple macroeconomic model with a continuum of primary commodities used in the production of the final good, such that the real prices of commodities have a factor structure. One factor captures the combined contribution of all aggregate shocks which have no direct effects on...

We measure the impact of frequent exogeneous shocks on small ECCU economies, including changes to global economic activity, tourism flows, oil prices, passport sales, FDI, and natural disasters. Using Canonical-Correlation Analysis (CCA) and dynamic panel regression analysis we find significant...

Direct measurement of corruption is difficult due to its hidden nature, and measuring the perceptions of corruption via survey-based methods is often used as an alternative. This paper constructs a new non-survey based perceptions index for 111 countries by applying sentiment analysis to...

The COVID-19 pandemic underscores the critical need for detailed, timely information on its evolving economic impacts, particularly for Sub-Saharan Africa (SSA) where data availability and lack of generalizable nowcasting methodologies limit efforts for coordinated policy responses. This paper...