Determinants of Intra-Industry Trade: An Investigation with Bma for the European Union

Krzysztof Beck
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Krzysztof Beck: Lazarski University, Poland

Journal of International Business Research and Marketing, 2020, vol. 5, issue 6, 19-22

Abstract: The empirical literature on determinants of intra-industry trade (IIT) is vast and comprehensive, yet as the authors failed to properly account for model uncertainty it has brought inconsistent and conflicting results. To resolve this issue, Bayesian model averaging was applied to investigate the robustness of 48 potential determinants of bilateral IIT for the panel of 26 European Union countries over the 1999-2011 period. Application of BMA demonstrated that 11 of them are robust determinants of IIT, namely real GDP product, trade openness, membership in the European Union and the Euro area, corruption, and differences in factor abundance. Among the factors of production, the key role in the determination of IIT patterns can be assigned to the differences in human capital. Yet, transportation cost and cultural similarity have no impact on the IIT patterns.

Keywords: intra-industry trade; Bayesian model averaging; European Union (search for similar items in EconPapers)
JEL-codes: M00 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:mgs:jibrme:v:5:y:2020:i:6:p:19-22

DOI: 10.18775/jibrm.1849-8558.2015.56.3003

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