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International Trade Finance and Learning Dynamics
Kohn, David, Luttini, Emiliano Evaristo, Szkup, Michal, Zhang, Shengxing

International Trade Finance and Learning Dynamics

Economics & Development Published 2026 Verification Pending

Overview & Synopsis

This paper studies how relationship-specific learning affects the joint dynamics of exports and trade finance. Using micro-level Chilean data, it documents that new exporters initially rely on cash-in-advance payments and gradually transition to providing trade credit as relationships mature, with faster transitions in riskier destinations and for less experienced firms. Motivated by this, the paper develops a general equilibrium trade model that integrates learning about foreign demand and counterparty risk together with firms’ endogenous export and trade finance choices. The model is used to investigate the role of learning and risks in shaping export adjustments and quantify the impact of shocks to the cost of trade finance on aggregate exports. The analysis finds that the response to these shocks depends on the riskiness of the destination and is amplified by the disruption of long-term trading relationships.

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Document Information

Document Title International Trade Finance and Learning Dynamics
Author / Organization Kohn, David, Luttini, Emiliano Evaristo, Szkup, Michal, Zhang, Shengxing
Subject & Discipline Policy Research Working Paper
Categories Economics & Development
Publication Year 2026
License / Rights Creative Commons Attribution 4.0 (CC BY 4.0)
Resource Verification Listed PDF (Verification Pending)
Original Host Website World Bank Documents & Reports (documents.worldbank.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-125968
Original Source Link Visit Source Page on documents.worldbank.org »