The goal of the workshop is to serve as a practical guide for trade policy analysis with the structural gravity model, i.e., the workhorse model in international trade. The course traces the evolution of the gravity model from its initial a-theoretical applications to the most recent structural developments, e.g., dynamic gravity, and it offers a comprehensive and balanced approach between theory and empirics. Rigorous theoretical exposition is combined with a series of applications and empirical exercises, including estimation of the partial and the general equilibrium effects of reginal trade agreements and changes in MFN tariffs within the same theory-consistent framework. The workshop will also be used to launch the recently developed R-version of the structural gravity code – developed and presented by Mauricio Andres Vargas Sepulveda.
About the course convenor
Yoto V. Yotov is a Professor at the School of Economics of the LeBow College of Business at Drexel University (Philadelphia, USA) and a Research Professor at the Center for International Economics of the ifo Institute, Leibniz Institute for Economic Research at the University of Munich. His professional interests are focused in the area of international trade and trade policy with emphasis on structural gravity modeling and estimation. Prof. Yotov has extensive experience in consulting for international organizations and governments around the world. He is a world-renowned expert on structural gravity modelling, and his short courses on the topic are in high demand by policymakers, academics, and staff of international organizations.
This is a technical workshop, aimed at trade policy analysts and drafters who already have good knowledge and understanding of applied econometrics, and are comfortable in using Stata and/or R for econometric analysis.
Please note that places are strictly limited and the selection of participants will be based on the quality of submitted applications. Due to the limited spaces, we kindly ask you to commit to fully attending each lecture (including paying attention), as well as allocate time for self-studying in between lectures. If you are note sure you will be able to fully attend each lecture, please do not apply. Course materials will be provided to the selected participants, but recordings of the sessions will not be made available after the lectures.