Export Sophistication: A Dynamic Panel Data Approach

Evžen Kočenda and Karen Poghosyan

Emerging Markets Finance and Trade, 2018, vol. 54, issue 12, 2799-2814

Abstract: In this article, we analyze export sophistication based on a large panel dataset (2001–2015; 101 countries) and using various estimation algorithms. Using Monte Carlo simulations, we evaluate the bias properties of estimators and show that GMM-type estimators outperform instrumental-variable and fixed-effects estimators. Based on our analysis we document that GDP per capita and the size of the economy exhibit significant and positive effects on export sophistication; weak institutional quality exhibits negative effect. We also show that export sophistication is path-dependent and stable even during a major economic crisis, which is especially important for emerging and developing economies.

Date: 2018
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Citations: View citations in EconPapers (17)

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Related works:
Working Paper: Export sophistication: A dynamic panel data approach (2017)
Working Paper: Export sophistication: A dynamic panel data approach (2017)
Working Paper: Determinants of export sophistication: Evidence from Monte Carlo simulations (2016)
Working Paper: Equilibrium Real Exchange Rate Model of Armenia (2007)
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Persistent link: https://EconPapers.repec.org/RePEc:mes:emfitr:v:54:y:2018:i:12:p:2799-2814

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DOI: 10.1080/1540496X.2017.1412305

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