Determinants of high-tech export in developing countries based on Bayesian model averaging
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...
Main Authors: | , , |
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Format: | Article |
Language: | deu |
Published: |
Faculty of Economics University of Rijeka
2017-06-01
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Series: | Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu |
Subjects: | |
Online Access: | https://www.efri.uniri.hr/sites/efri.uniri.hr/files/cr-collections/2/05-mehrara-seijani-rezazadeh-2017-1.pdf |
Summary: | 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. |
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ISSN: | 1331-8004 1846-7520 |