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Export Sophistication: A Dynamic Panel Data Approach
Authors:Ev?en Ko?enda  Karen Poghosyan
Institution:1. Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic;2. Institute of Information Theory and Automation, the Czech Academy of Sciences, CESifo, Munich, IOS, Regensburg, Germany;3. Central Bank of Armenia, Economic Research Department, Yerevan, Armenia
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.
Keywords:dynamic panel data  emerging and developing economies  export sophistication  international trade  Monte Carlo simulation  panel data estimators  specialization
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