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Export sophistication: A dynamic panel data approach

Evžen Kočenda () and Karen Poghosyan

No 980 Classification-C52; C53; F14; F47; O19, KIER Working Papers from Kyoto University, Institute of Economic Research

Abstract: 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)
Pages: 29pages
Date: 2017-11
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http://www.kier.kyoto-u.ac.jp/DP/DP980.pdf (application/pdf)

Related works:
Journal Article: Export Sophistication: A Dynamic Panel Data Approach (2018) Downloads
Working Paper: Export sophistication: A dynamic panel data approach (2017) Downloads
Working Paper: Determinants of export sophistication: Evidence from Monte Carlo simulations (2016) Downloads
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