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

Mohsen Mehrara (), Samaneh Seijani () and Abbas Rezazadeh Karsalari ()
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Mohsen Mehrara: Faculty of Economics, University of Tehran, North Kargar St, Tehran, Tehran Province, Iran
Samaneh Seijani: Faculty of Economics, University of Tehran, North Kargar St, Tehran, Tehran Province, Iran
Abbas Rezazadeh Karsalari: Department of Management, Islamic Azad University Tafresh Branch,Tafresh, Markazi province, Iran

Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, 2017, vol. 35, issue 1, 199-215

Abstract: 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.

Keywords: high technology export; Bayesian model averaging; weighted-average least square; developing countries (search for similar items in EconPapers)
JEL-codes: C11 F43 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:rfe:zbefri:v:35:y:2017:i:1:p:199-215

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