The Global Vector Autoregressive (GVAR) approach has proven to be a very useful approach to analyze interactions in the global macroeconomy and other data networks where both the cross-section and the time dimensions are large. This paper surveys the latest developments in the GVAR modeling,...

This paper studies the trade effects of Covid-19 using monthly disaggregated trade data for 28 countries and multiple trading partners from the beginning of the pandemic to June 2020. Regression results based on a sector-level gravity model show that the negative trade effects induced by...

Decades of services trade negotiations have produced a plethora of rules and commitments but limited real liberalization. One reason is a form of "negotiating tunnel vision," which has led to a focus on reciprocal market opening rather than on creating the regulatory preconditions for...

The paper contributes to the growing global VAR (GVAR) literature by showing how global and national shocks can be identified within a GVAR framework. The usefulness of the proposed approach is illustrated in an application to the analysis of the interactions between public debt and real output...