Recent Research

This paper examines the impact of deep trade agreements on agri-food global value chains (GVCs). Our theory-consistent gravity estimates underscore that those trade deals benefit forward more than backward agri-food GVC integration.

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This article revisits the Linder hypothesis for foreign direct investment. We relate to the theoretical work of Fajgelbaum, Grossman, and Helpman (2015) to explain industry differences in the relationship between income similarity and foreign direct investment.

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This paper provides an ex-post impact assessment of the Russian invasion of Ukraine on international grain and oilseed trade. We use a commodity-level empirical model to assess the counterfactual trade effects and evaluate the region-specific global trade reallocation effects.

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This paper applies machine learning methods to identify provisions in preferential trade agreements (PTAs) that enhance agricultural trade and to determine the socio-economic and political factors influencing their inclusion.

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This paper assesses the impact of rising protectionism in international investment agreements (IIA) on foreign direct investment (FDI). We show that the number of terminated and reformed IIAs increased markedly during the last two decades.

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This paper examines the impact of preferential trading agreements (PTAs) on agricultural trade. I use a machine learning selection algorithm guided by the structural gravity model to identify the relevant PTA provisions that affect agricultural trade. 

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This research project will measure how foreign trade shocks affect agriculture in the United States.

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The virtual water trade (VWT) implies quantifying water embedded in the production process and subsequently exchanged on the global market. The paper analyzes the impact of RTAs on virtual water trade using a gravity framework.