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Determinants of high-tech export in developing countries based on Bayesian model averaging

机译:基于贝叶斯模型平均的发展中国家高科技出口的决定因素

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Given the importance and role of high-tech exports in economic growth, it is necessary to identify variables affecting export. Accordingly, in this article we studied the determinants of export for 24 developing countries during the period 1996 to 2013 based on Bayesian Model Averaging (BMA) and Weighted-Average Least Square (WALS) technique. The results show that rule of law as a proxy for Institutional quality, human capital, import (as a measure of openness) and GDP with posterior inclusion probability 100% are the most important variables influencing the high-technology export in developing countries.
机译:鉴于高科技出口在经济增长中的重要性和作用,有必要确定影响出口的变量。因此,在本文中,我们基于贝叶斯模型平均(BMA)和加权平均最小二乘(WALS)技术研究了24个发展中国家在1996年至2013年期间的出口决定因素。结果表明,法治是制度质量,人力资本,进口(作为开放度的衡量指标)和国内生产总值的替代指标,其后包含概率为100%是影响发展中国家高科技出口的最重要变量。

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