Decomposition of Bilateral Trade Flows Using a Three-Dimensional Panel Data Model

Yufeng Mao, Bin Peng, Mervyn Silvapulle, Param Silvapulle and Yanrong Yang

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Abstract: This study decomposes the bilateral trade flows using a three-dimensional panel data model. Under the scenario that all three dimensions diverge to infinity, we propose an estimation approach to identify the number of global shocks and country-specific shocks sequentially, and establish the asymptotic theories accordingly. From the practical point of view, being able to separate the pervasive and nonpervasive shocks in a multi-dimensional panel data is crucial for a range of applications, such as, international financial linkages, migration flows, etc. In the numerical studies, we first conduct intensive simulations to examine the theoretical findings, and then use the proposed approach to investigate the international trade flows from two major trading groups (APEC and EU) over 1982-2019, and quantify the network of bilateral trade.

Date: 2021-01
New Economics Papers: this item is included in nep-int
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