Preliminary communication

https://doi.org/10.18045/zbefri.2017.1.199

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

Mohsen Mehrara ; Faculty of Economics, University of Tehran, Tehran, Tehran Province, Iran
Samaneh Seijani ; Faculty of Economics, University of Tehran, Tehran, Tehran Province, Iran
Abbas Rezazadeh Karsalari orcid.org/0000-0001-6178-3326 ; Department of Management, Islamic Azad University Tafresh Branch, 39517- 36167 - Moalem Square - Tafresh - Markazi province, Iran

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

Hrčak ID:

183516

URI

https://hrcak.srce.hr/183516

Publication date:

30.6.2017.

Article data in other languages: croatian

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