PERNERAPAN MODEL PERSAMAAN SIMULTAN DENGAN PENDEKATAN TWO STAGE LEAST SQUARE PADA KASUS INFLASI DAN NILAI TUKAR RUPIAH DI INDONESIA

Rahmawati Yusuf, Resmawan Resmawan, Boby Rantow Payu

Abstract


Using the regression model, a method that accommodates variables related to each other is called the simultaneous equation method. The study aims to determine the factors affecting inflation and rupiah exchange rate and model simultaneous equations towards the factors affecting inflation and rupiah exchange rate in Indonesia using Two-Stage Least Square. Data used in this study are secondary data obtained from the website of Statistics of Indonesia. Findings on the simultaneous equation model with two-stage least squares reveal that variables that significantly affect inflation are the Indonesia rupiah exchange rate and money supply. At the same time, variables that significantly affect the Indonesian rupiah exchange rate are inflation and money supply. The predictive value using the inflation and rupiah exchange rate equation indicates that the obtained MAPE (Mean Absolute Percentage Error) value does not exceed 50%. In conclusion, the prediction result using the inflation and Indonesia rupiah exchange rate equation is accurate.

Keywords


Simultaneous Equations; Two-Stage Least Square; Inflation; Indonesian Rupiah Exchange Rate

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References


D. Gujarati, Ekonometrika dasar, Jakarta: Erlangga, 1978.

A. Koutsoyiannis, Theory of econometrics an introductory exposition of econometric methods, Macmillan: Basingstoke, 1977.

T. R. Daniantari, "Estimasi Model Persamaan Simultan Dengan Metode Two Stage Least Square dan Penerapannya," Eprints Universitas Negeri Yogyakarta, 2011.

M. Ekananda, Ekonometrika Dasar, Jakarta: Mitra Wacana Media, 2015.

D. Gujarati, Ekonometria Dasar, Terjemahan: Drs. Ak. Sumarno Zain, Jakarta: Erlangga, 2003.

R. L. Basmann, "A generalized classical method of linear estimation of coefficients in a structural equation," Journal of the Econometric Society, pp. 77-83, 1957.

T. A, Ventus, Econometrics, Publishing ApS, 2007.

S. Sukirno, Makroekonomi Modern, Jakarta: PT RajaGrafindo Persada, 2000.

M. N. Gregory, Principles of Economics Pengantar Ekonomi Makro, Jakarta: Salemba Empat, 2006.

N. A. Fery, "Analisa Faktor-Faktor yang Mempengaruhi Inflasi di Indonesia Periode 1997," Economic Journal of Emerging Markets, vol. 11 no 2, pp. 173-186, 2006.

H. Theil, Repeated least squares applied to complete equation systems, The Hague: Central Planning Bureau, 1953.

F. A. M. Ardiyanto, "Pergerakan Nilai Tukar Rupiah Terhadap Dolar Amerika Dalam Dua Periode Penerapan Sistem Nilai Tukar," urnal Ekonomi & Studi Pembangunan, vol. 15 no. 2, pp. 27-134, 2014.

S. Kuznets, "Penerapan Metode Two Stage Least Squares Pada Model Persamaan Simultan Dalam Memprediksi PDRB dan Pertumbuhan Ekonomi," 2016.

E. S. Misno, "Estimasi Model Persamaan Simultan Dengan Metode Two Stage Least Square (2SLS)," BIMASTER, vol. 8 no. 4, 2019.

R. F. Rahmadeni, "Model Persamaan Simultan Pada Analisis Hubungan Nilai Tukar Rupiah dan Inflasi," Jurnal Sains Matematika dan Statistika, vol. 6 no. 2, pp. 73-79, 2020.




DOI: https://doi.org/10.34312/euler.v9i2.11173

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