Kocenda, Evzen and Poghosyan, Karen (2018) Export Sophistication: A Dynamic Panel Data Approach. EMERGING MARKETS FINANCE AND TRADE, 54 (12). pp. 2799-2814. ISSN 1540-496X, 1558-0938
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | DATA MODELS; TRADE; INEQUALITY; ECONOMIES; AFRICA; GROWTH; BIAS; dynamic panel data; emerging and developing economies; export sophistication; international trade; Monte Carlo simulation; panel data estimators; specialization |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Institute for East and Southeast European Studies (IESES) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 25 May 2022 05:50 |
| Last Modified: | 25 May 2022 05:50 |
| URI: | https://pred.uni-regensburg.de/id/eprint/15339 |
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