Have Export Compositions Influenced the Economic Growth Among the European Union Countries in Central and Eastern Europe?
Description
The dataset is used for analyzing the export composition effects on the economic growth in the European Union (EU) countries in Central and Eastern Europe (CEE) during 1999-2016. The descriptions of the variables and descriptive statistics are provided in detail in the paper. There are several important findings in this study. First, the fuel and food exports have boosted growth after the EU accession. As expected, the agricultural exports have no effect on growth. Due to the different comparative advantages, the CEE countries have still relied on some raw material exports while developing manufactured exports. Second, the transportation equipment, textile, steel and chemical exports have accelerated growth. This can be attributed to the economies of scale in production given their greater access to EU markets.
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Steps to reproduce
1. The results were derived from using EViews software Version 10. The statistical software can be downloaded from www.eviews.com with a subscription. 2. The two statistical techniques used in this study are the two-stage least squares (2SLS) and generalized method of moments estimations (GMM). 3. The 2SLS results were obtained from choosing "estimate equation" and "2SLS" method. The independent and dependent variables (see section 3.1 in the paper) are listed in equation specification column. For sample period, both pooled estimation (1999-2016) and subperiod estimations (1999-2003, 2004-2008, 2009-2016, and 2004-2014) are conducted to analyze the export composition effects on economic growth after the EU and EMU accession. The instrumental variables (see section 3.2 in the paper) are entered in the instruments column. Finally, in the panel option, choose fixed effect for cross-section data. 4. The GMM results were obtained by choosing the GMM method in estimation equation column. The steps are similar to those described in section 3. For the cross section and GMM weights, choose first difference option.