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...

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Bibliographic Details
Main Authors: Mohsen Mehrara, Samaneh Seijani, Abbas Rezazadeh Karsalari
Format: Article
Language:deu
Published: Faculty of Economics University of Rijeka 2017-06-01
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
Description
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.
ISSN:1331-8004
1846-7520