The Relationship between Exchange Rate, Money Supply, and Inflation in Indonesia: An ARDL Approach
English
DOI:
https://doi.org/10.14421/bie.2025.042-01Keywords:
Inflation, Exchange Rate, Money Supply, ARDL, Time Series, IndonesiaAbstract
This study examines the short- and long-term relationships between inflation, exchange rate, and money supply (M2) in Indonesia using the Autoregressive Distributed Lag (ARDL) approach over the period 2013–2024. Monthly time-series data obtained from official sources are analyzed to capture the dynamic interactions among variables. The bounds testing procedure confirms the existence of a long-run cointegration relationship, with the ARDL(5,1,2) model identified as the optimal specification. Empirical results indicate that, in the short run, inflation is significantly influenced only by its own past values, while the exchange rate and money supply are statistically insignificant in both the short and long term. These findings suggest that inflation dynamics in Indonesia are primarily driven by internal adjustment mechanisms rather than direct monetary or exchange rate shocks. The study contributes to monetary policy analysis by highlighting the importance of inflation expectations and domestic stability.
Downloads
Abstract viewed: 19 times
|
pdf downloaded = 13 times
References
Bank Indonesia. (2015). Indikator Utama, Reciprocity, dan Pengaturan Countercyclical Capital Buffer di Indonesia. Working Paper.
Guidolin, M., & Timmermann, A. (2005). Economic implications of bull and bear regimes in UK stock and bond returns. The Economic Journal, 115(500), 111–143. https://doi.org/10.1111/j.1468-0297.2004.00962.x
Khalil, M. I. El. (2024). The impact of changes in money supply and exchange rate on inflation rate in Algeria during the period 1990–2022 using the ARDL bound testing method. International Journal of Economic Perspectives, 18(November), 3024–3040.
Kurniasih, C. E., Budiartiningsih, R., Sari, L., & Aulia, A. F. (2024). Unraveling the dynamic impact of money supply, interest rates, and corruption on inflation: Evidence from Indonesia. Jurnal Ekonomi Pembangunan, 22(1), 1–12. https://doi.org/10.29259/jep.v22i1.23052
Laloan, E. E. T., & Laloan, N. N. (2023). Penerapan autoregressive distributed lag (ARDL) dalam pemodelan deret waktu. Jurnal Matematika dan Aplikasi.
Linawati, Y., Wibowo, M. G., Sunaryati, Wau, T., & Abduh, M. (2021). Financial deepening and income inequality in Indonesia: An autoregressive distributed lag approach. Journal of Research in Business and Management, 9(8), 23–32.
Mardiatmoko, G. (2019). Pentingnya uji asumsi klasik pada analisis regresi linier berganda (Studi kasus penyusunan persamaan allometrik kenari muda). Jurnal Ilmu Matematika dan Terapan, 13(2), 155–170.
Mverecha, J. (2025). Money supply growth, exchange rate and inflation dynamics in Zimbabwe: An autoregressive distributed lag–error correction model. International Journal of Economic Policy, 5(4), 1–21. https://doi.org/10.47941/ijecop.3051
Nastiti, E., & Dwiastuti, T. (2023). Dampak pelanggaran asumsi klasik terhadap estimasi model ekonometrika. Jurnal Pilar: Studi Manajemen dan Bisnis, 2(1), 54–65.
Nugroho, J. S., & Hidayat, I. (2025). Pendekatan ARDL dalam menilai pengaruh variabel ekonomi dan kebijakan antidumping terhadap impor ubin keramik: Analisis jangka pendek dan jangka panjang. YUME: Journal of Management, 8(1).
Sukmana, R., & Putri, T. P. (2024). Pemodelan autoregressive distributed lag untuk memprediksi nilai impor non-migas di Indonesia. Jurnal Gaussian, 13(2), 305–315.
Taylor, J. B. (2000). Low inflation, pass-through, and the pricing power of firms. European Economic Review, 44, 1389–1408.
Tumurang, M. D. (2024). Metodologi penelitian. PT Media Pustaka Indo.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Bulletin of Islamic Economics is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License












This work is licensed under a