Abstract
Over the past several years, trade economists have begun exploring the role that intermediar ies play in facilitating trade. Papers by James E. Rauch and Joel Watson (2004), Dimitra Petropoulou (2007) and Pol Antras and Arnaud Costinot (2009) model intermediaries as agents that facilitate matching between sellers/exporters and foreign buyers. These papers examine how improved intermediation (matching) technolo gies affect trade volumes and the gains from trade. Bernardo S. Blum, Sebastian Claro and Ignatius Horstmann (2009) embed a reduced-form match ing model, inspired by Robert Townsend (1983), into a heterogeneous firm, trade model and exam ine how changes in the trading environment affect trade costs, export/import volumes and the extent of trade flowing through trade intermediaries. A key modeling challenge for this literature is how to structure matching and intermediation technologies in trading environments. Blum, Claro and Horstmann (2009) provide certain facts for Chile-Colombia trade and use these facts to structure trading technologies. In this paper we provide a broader set of facts on trade intermediaries, using new datasets for Chile and for Chile-Argentina trade.1 We think that these facts will prove particularly useful for future modeling of trade intermediaries.
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