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

Autor:	Mohsen Mehrara, Samaneh Seijani, Abbas Rezazadeh Karsalari
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Izvoz visoke tehnologije Bayesian Model Averaging (BMA) ponderirani prosjek najmanjeg kvadrata zemlje u razvoju High technology export Bayesian model averaging weighted-average least square developing countries
Zdroj:	Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu Volume 35 Issue 1
ISSN:	1846-7520 1331-8004
Popis:	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. potrebno je identificirati varijable koje utječu na izvoz. Prema tome, u ovom se članku proučavaju odrednice izvoza za 24 zemlje u razvoju u razdoblju od 1996. do 2013. godine temeljene na tehnici Bayesian Model Averaging (BMA) i Weighted-Average Least Square (WALS). Rezultati pokazuju da su vladavina prava kao proxy za institucionalnu kvalitetu, ljudski kapital, uvoz (kao mjera otvorenosti) i BDP sa 100% vjerojatnosti poslije uključivanja, najvažnije varijable koje utječu na visoko-tehnološki izvoz u zemljama u razvoju.
Databáze:	OpenAIRE
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