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Stochastic Trade Networks. (2013). Schiavo, Stefano ; Riccaboni, Massimo.
In: Working Papers.
RePEc:ial:wpaper:1/2013.

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  1. Big hits, export concentration and volatility. (2015). Sufrauj, Shamnaaz ; Schiavo, Stefano ; Riccaboni, Massimo.
    In: Economia Politica: Journal of Analytical and Institutional Economics.
    RePEc:spr:epolit:v:32:y:2015:i:2:p:135-166.

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  45. Similarly, Easterly et al. (2009) focus on product-destinations pairs and, using COMTRADE data at the HS-6 level for 151 countries, find a share of zeros relative to the number of potential flows that range between 69% and 99.5%, with a mean value of 96% and a median of 98.5%.
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  46. Stylized fact 2. Trade is highly concentrated. This can be appreciated by looking at the distribution of the number of destinations served by each exporting country, the number of products shipped, or the number of product-destination pairs. Moreover, this feature cuts across different levels of aggregation. The distribution of the number of trade linkages maintained by each country is found to be very skewed in many studies using different datasets, and such a feature appears to be rather stable over time (Serrano and Bogu˜na, 2003; Garlaschelli and Loffredo, 2004; Fagiolo et al., 2008; Easterly et al., 2009).
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  47. Stylized fact 6. A complementary finding to the previous stylized fact is that the variation of trade flows over time is mainly driven by the intensive margin, i.e. the growth in the intensity of existing relationships. Helpman et al. (2008) report that since the 1970s, the rapid growth of world trade was predominantly due to the intensification of trade among countries that already traded with each other, rather than to the development of new trade relationships.
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