We challenge the common practice of estimating gravity equations with time-interval data in order to capture dynamic-adjustment effects to trade-policy changes. Instead, we point to a series of advantages of using consecutive-year data recognizing dynamic-adjustment effects. Our analysis reveals...

This paper analyses the impact of the Covid-19 pandemic on exports and imports in the case of 35 OECD countries during the 2019Q1-2021Q2 period using a dynamic panel approach, specifically the system Generalized Method of Moments (GMM). In contrast to earlier studies, the empirical specification...

This paper analyses the relationship between international trade and financial development in six EU members from Central and Eastern Europe (CEEC-6) using dynamic panel data approaches, specifically the system Generalized Method of Moments (GMM) and pooled mean group (PMG) estimators. The...

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...

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 analyses the short- and long-run effects of trade openness on financial development in a panel including data on 35 European countries over the period 2001-2019. For this purpose, it uses the PMG (pooled mean group) estimator for dynamic panels developed by Pesaran et al. (1999). The...