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

Mohsen Mehrara et al · Faculty of Economics University of Rijeka · 2017

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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.

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APA 7

al, M. M. E. (2017). Determinants of high-tech export in developing countries based on Bayesian model averaging. https://doi.org/10.18045/zbefri.2017.1.199

MLA

al, Mohsen Mehrara et. "Determinants of high-tech export in developing countries based on Bayesian model averaging." 2017. https://doi.org/10.18045/zbefri.2017.1.199.

Chicago

al, Mohsen Mehrara et. 2017. "Determinants of high-tech export in developing countries based on Bayesian model averaging.". https://doi.org/10.18045/zbefri.2017.1.199.

Harvard

al, M. M. E. 2017, Determinants of high-tech export in developing countries based on Bayesian model averaging, Faculty of Economics University of Rijeka, available at: https://doi.org/10.18045/zbefri.2017.1.199 [Accessed 9 Aug. 2026].

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Title
Determinants of high-tech export in developing countries based on Bayesian model averaging
Author / contributors
Mohsen Mehrara et al
Publisher
Faculty of Economics University of Rijeka
Publication year
2017
ISSN
1331-8004
ISSN
1331-8004
Language
English

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