Analisis Pengaruh Variabel Moneter Terhadap Perkembangan Ekonomi Negara ASEAN

Mutia Yollanda, Fitri Rahmah Ul Hasanah

Abstract


This study aims to determine the effect of inflation and exchange rates on ASEAN countries' gross domestic product (GDP). The data used is secondary data accessed through the world bank from 2019 to 2021, which consists of 30 data. The independent variables used in this data are exchange rates and inflation, while the dependent variable used is gross domestic product (GDP). The panel data regression used in this study includes the common effect model, the fixed effect model and the random effect model. Based on the Chow and Hausman tests conducted, the best model in this study was the random effect model (REM). The best equation in this research is given by the equation . his study uses robustness because the normality test on the classical assumption is not fulfilled. Based on the test results, the USD exchange rate and inflation variables have a significant effect on the GDP variable. While the inflation variable has no significant effect on the GDP variable.

Keywords


panel data regression, common effect model, fixed effect model, random effect model.

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DOI: https://doi.org/10.15548/jostech.v3i1.5741
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References


M. Chopra, “A data panel analysis of factors pushing GDP of Malaysia: A research on selected economic indicators“ in Iqtishaduna, Vol. 12(2), 273–277, 2021.

R. Admi, “Pengaruh inflasi, jumlah penduduk, dan pengeluaran pemerintah terhadap GDP Jepang tahun 2011-2020“ in Jurnal Kajian Ekonomi dan Bisnis, Vol 15(2), 2022.

R. Bickel, “Multilevel analysis for applied research. It’s Just Regression. “ New York: The Guilford Press, 2007.

D. Gefen, D. W. Straub, and M. C. Boudreau, “Structural equation modeling and regression: guidelines for research practice“ in Communications of the Association for Information Systems, 4, 2000.

J. R. Gil-Garcia, “Using partial least squares in digital government research. Handbook of research on public information technology. “ in Hershey, P. A.: IGI Global, 2008.

H. J. Holzer, R. N. Block, M. Cheatham, and J. H. Knott, “Are training subsidies for firms effective? The Michigan experience. “ in Industrial and labor relations review, Vol. 46, pp. 625-636, 1993.

Y. Guo, B. Li, T. Duan, N. Yao, H. Wang, Y. Yang, et al. “A panel regression analysis for the COVID-19 epidemic in the United States“ in PLoS ONE 17(8), 2022.

Suparman, “Relationship Between Economic Growth, Income Inequality and Poverty by Provinces in Indonesia: Panel Data Regression Approach“ in International Journal of Environmental Sustainability and Social Science, Vol 3, pp. 103-108, 2022

D. N. Gujarati, “Basic Econometrics“ in New York: McGraw-Hill, 2003.

B. H. Baltagi, “Econometric analysis of data panel“ in New York: John Wiley and Sons, 2008.

J. M. Wooldridge, “Econometric analysis of cross section and data panel“ in Cambridge: MIT Press, 2010.

A. Widarjono, “Teori dan Aplikasi Untuk Ekonomi dan Bisnis“ in Yogyakarta: Ekonometrika, 2007.

N. Aulina, and Mirnawati. “Analisis Regresi Data Panel pada Faktor-Faktor yang Mempengaruhi Kemiskinan di Indonesia Tahun 2015 – 2019“ in KINERJA Jurnal Ekonomi dan Bisnis, Vol. 4(1), pp. 1-13, 2021.

H. M. Park, “Practical guides to data panel modeling: a step-by-step analysis using stata. Tutorial Working Paper“ in Graduate School of International Relations, International University of Japan, 2011.

J. R. Gil-García, and G. Puron-Cid, “Using data panel techniques for social science research: an illustrative case and some guidelines“ in Revista Científica Multidisciplinaria de Prospectiva, Vol. 21(3), pp. 203-216. 2013.

D. Agustin, F. Sele, K. A. Aviev, K. “Analisis Pengaruh Kinerja Perbankan terhadap Perubahan Penyaluran Kredit UMKM di Indonesia“ in Jurnal Ekonomi Manajemen Perbankan, Vol. 3(1), pp. 45-55, 2021.


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