Export sophistication: A dynamic panel data approach
Evžen Kočenda () and
No 980 Classification-C52; C53; F14; F47; O19, KIER Working Papers from Kyoto University, Institute of Economic Research
In this paper 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 instrumentalvariable 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.
Keywords: international trade; export sophistication; emerging and developing economies; specialization; dynamic panel data; Monte Carlo simulation; panel data estimators (search for similar items in EconPapers)
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Journal Article: Export Sophistication: A Dynamic Panel Data Approach (2018)
Working Paper: Export sophistication: A dynamic panel data approach (2017)
Working Paper: Determinants of export sophistication: Evidence from Monte Carlo simulations (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:kyo:wpaper:980
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