ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI NEGARA-NEGARA ORGANISASI KERJASAMA ISLAM (OKI) PERIODE 2005-2019
Zaiful Anas
Abstract
Zaiful Anas
Abstract
This study aims to examine the effect of inflation, Unemployment, Exports, Imports and Corruption to economic growth in the countries of the Islamic Cooperation Organization (OIC) for the period 200-2019. This study uses annual data for 15 years. Eviews 9 software is used to process data. Data analysis techniques used panel data consisting of time series from 2005-2019 with cross section data of twenty OCI countries. The Chow test is used to see one of the models in the panel data regression between the fixed effect model (FEM) and the common effect model (CEM) fixed coefficent model. The Hausman test is used to select a model in panel data regression between fixed effect model (FEM) and random effects model (REM), Langrangge Multiplier (LM) test is used to select a model in panel data regression between coefficients. Fixed common effect model (CEM) and random effects model random effect model (REM). The results showed that the Inflation variable had a negative and insignificant effect, Unemployment has no significant positive effect, Exports have a positive and significant effect, Imports have a positive and significant effect, and Corruption has a significant negative effect.
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This study aims to examine the effect of inflation, Unemployment, Exports, Imports and Corruption to economic growth in the countries of the Islamic Cooperation Organization (OIC) for the period 200-2019. This study uses annual data for 15 years. Eviews 9 software is used to process data. Data analysis techniques used panel data consisting of time series from 2005-2019 with cross section data of twenty OCI countries. The Chow test is used to see one of the models in the panel data regression between the fixed effect model (FEM) and the common effect model (CEM) fixed coefficent model. The Hausman test is used to select a model in panel data regression between fixed effect model (FEM) and random effects model (REM), Langrangge Multiplier (LM) test is used to select a model in panel data regression between coefficients. Fixed common effect model (CEM) and random effects model random effect model (REM). The results showed that the Inflation variable had a negative and insignificant effect, Unemployment has no significant positive effect, Exports have a positive and significant effect, Imports have a positive and significant effect, and Corruption has a significant negative effect.
Key concepts: Hausman test, Fixed effects model, Panel data, Random effects model, Econometrics, Economics, Regression analysis, Unemployment