While traditional empirical models using determinants like size and trade costs are able to predict RTA formation reasonably well, we demonstrate that allowing for machine detected non-linear patterns helps to improve the predictive power of RTA formation substantially. We employ machine...

This paper investigates the impact of the Covid-19 pandemic on trade flows in the case of the European countries. First, an ARDL dynamic panel model is estimated using the PMG method to analyse monthly data covering the most recent period (2019M1-2021M12); then, the GMM and PCSE approaches are...

This paper examines how the Covid-19 pandemic affected European trade patterns. Specifically, dynamic panel data models are estimated to assess the effects on exports and imports of various sectors and products (selected on the basis of their trading volume or strategic importance) of the...

Since the recovery from the great financial crisis in 2010, global real trade flows grew much slower than pre-crisis, in both absolute terms (growth rates) and relative terms (relative to GDP, from 2:1 in the great 1990’s to 1:1 since 2012) A debate has arisen as to whether this global trade...

Using a gravity-like approach, we study how Covid-19 deaths and lockdown policies affected countries’ imports from China during 2020. We find that a country’s own Covid-19 deaths and lockdowns significantly reduced its imports from China, suggesting that the negative demand effects prevailed...

This paper provides evidence that the U.S. dollar affects countries’ exports through the financial channel of the exchange rate (Bruno and Shin (2015)). Using global data on trade between countries whose currency is not the U.S. dollar, it documents a positive relationship between the dollar...