In the following, I briefly describe the results from four of the main GLOBALPROD papers, as well as their exploitation and dissemination.
Bernard et al (forthcoming) develops a new model for firm-to-firm trade that is broadly consistent with stylized facts from the Belgian firm-to-firm data. In the model, firms search for and sell to downstream buyers and buy inputs from upstream suppliers. Firms vary in their productivity and relationship capability. Higher productivity results in more matches and larger market shares among customers. Higher relationship capability results in more customers and higher sales. Estimated model parameters suggest that productivity and relationship capability are strongly negatively correlated. A counterfactual exercise shows that the real wage gains from improving relationship capability are substantial, and much larger in our model compared to canonical models of one-dimensional heterogeneity.
Gumpert et al (2020) studies the life-cycle dynamics of exporters and multinational enterprises (MNEs). Using rich firm-level data, we document a comprehensive set of facts on entry, exit, and growth of new exporters and new MNEs. Guided by these facts, we build a model based on the standard proximity-concentration trade-off extended to incorporate time-varying firm productivity and sunk costs of MNE entry. The calibrated version of the model goes far in matching cross-sectional and dynamic moments of the data on exporters and MNEs. We show that including the choice to become an MNE affects the predicted export dynamics after trade liberalization. The different dynamics in a model with and without MNEs hinge on the right truncation of fast-growing exporters induced by the inclusion of the MNE choice.
Bernard et al (2019) examines the importance of buyer-supplier relationships for firm performance. We develop a model in which firms outsource tasks and search for suppliers. Lower search and outsourcing costs lead firms to search more and find better suppliers, which in turn drives down marginal costs. We test the theory by exploiting the opening of a high-speed train line in Japan, which lowered the cost of passenger travel but left shipping costs unchanged. Using an exhaustive data set on firms’ buyer-seller linkages, we find significant improvements in firm performance as well as creation of buyer-seller links, consistent with the model.
Bernard et al (2018) develops a multicountry model of international trade that provides a simple microfoundation for buyer-seller relationships in trade. We explore a rich data set that identifies buyers and sellers in trade and establish a set of basic facts that guide the development of the theoretical model. We use predictions of the model to examine the role of buyer heterogeneity in a market for firm-level adjustments to trade shocks, as well as to quantitatively evaluate how firms’ marginal costs depend on access to suppliers in foreign markets.
These projects have been presented at various research conferences and workshops, including the NBER Summer Institute and multiple CEPR conferences. I have also presented the research at invited staff seminars at top universities, including Dartmouth College, Princeton University, Yale University, Sciences Po, and more. I have also written several articles for VoxEU.org based on this research, which targets a larger audience of economists working in the public sector, private sector, academia and media.
References
Andrew Bernard, Emmanuel Dhyne, Glenn Magerman, Kalina Manova, Andreas Moxnes. Forthcoming. “The Origins of Firm Heterogeneity: A Production Network Approach.” Journal of Political Economy.
Andrew Bernard, Andreas Moxnes, Karen Helene Ulltveit-Moe. 2018. “Two-Sided Heterogeneity and Trade.” Review of Economics and Statistics.
Andrew Bernard, Andreas Moxnes, Yukiko Saito. 2019. “Production Networks, Geography, and Firm Performance.” Journal of Political Economy.
Anna Gumpert, Haishi Harry Li, Andreas Moxnes, Natalia Ramondo and Felix Tintelnot. 2020.
“The Life-Cycle Dynamics of Exporters and Multinational Firms”. Journal of International Economics.