Stochastic Trade Networks
Massimo Riccaboni () and
DEGIT Conference Papers from DEGIT, Dynamics, Economic Growth, and International Trade
The paper develops a simple model to describe the dynamics of international trade flows. We show that such a setup is able to simultaneously match a large number of empirical regularities, such as the fraction of zero trade flows across pairs of countries, the positive relationship between intensive and extensive margins, the high concentration of trade with respect to both products and destinations. Our network model can thus be considered a useful stochastic benchmark for international trade theories. In particular, our stochastic approach is fully compatible with recent international trade models with heterogeneous firms. Our findings suggest that incorporating stochastic elements into standard trade models can improve their ability to explain relevant stylized facts of world trade.
Keywords: international trade; balls-and-bins; urn models; weighted networks; proportionate growth (search for similar items in EconPapers)
Pages: 27 pages JEL Classification: F14, F43, O25
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Working Paper: Stochastic Trade Networks (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:deg:conpap:c017_014
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