Main Article Content
Abstract
Penelitian ini menganalisis stabilitas permintaan uang di Indonesia periode 2015–2024 menggunakan Vector Error Correction Model (VECM) dengan mengintegrasikan variabel Indeks Produksi Industri (IPI), inflasi, transaksi uang elektronik (e-money), dan Indeks Ketidakpastian Kebijakan Ekonomi Global (EPU). Hasil uji kointegrasi Johansen mengkonfirmasi adanya hubungan keseimbangan jangka panjang. IPI berpengaruh positif signifikan, inflasi dan EPU berpengaruh negatif signifikan, sementara e-money terbukti mensubstitusi uang fisik. Uji CUSUM mengkonfirmasi stabilitas struktural fungsi permintaan uang, meskipun terdapat gangguan varians pada 2019–2020 akibat pandemi Covid-19. Temuan ini menegaskan relevansi kebijakan moneter berbasis agregat moneter di Indonesia.
Kata Kunci: ketidakpastian kebijakan ekonomi; permintaan uang; stabilitas moneter; uang elektronik; VECM
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References
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- Bahmani-Oskooee, M., Kutan, A. M., & Xi, D. (2013). The impact of economic and monetary uncertainty on the demand for money in emerging economies. Applied Economics, 45(23), 3278–3287.
- https://doi.org/10.1080/00036846.2012.705430
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- Keynes, J. M. (1936). The General Theory of Employment, Interest, and Money.
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- Ovat, O. O., Abang, S. O., Okoi, O. B., & Ndem, B. E. (2023). Financial Innovation and Demand for Money in Nigeria: Further Empirical Insights. Universal Journal of Accounting and Finance, 11(2), 39–52. https://doi.org/10.13189/ujaf.2023.110202
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- Schwarz, G. (1978). ESTIMATING THE DIMENSION OF A MODEL.
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- Sholihah, M. M., & Sari, E. W. (2024). PENGARUH PEMBAYARAN NON TUNAI, SUKU BUNGA, DAN INFLASI TERHADAP PERMINTAAN UANG DI INDONESIA PERIODE 2018-2023. www.bi.go.id,
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- Suroso, A. I., Bahri, S., Achsani, N. A., Suhendi, & Sari, L. K. (2025). Money Demand in Indonesia and Its Forecasting to 2033. Economies, 13(4). https://doi.org/10.3390/economies13040098
- Ulfah, C. F., & Suriani, S. (2024). Digital Economy Dynamics: How E-Money, Debit Cards, Inflation, and Exchange Rates Shape Money Demand Stability in Indonesia. Grimsa Journal of Business and Economics Studies, 2(1), 39–51. https://doi.org/10.61975/gjbes.v2i1.37
- Yuli Wijaya, A., Mukhlis, I., & Seprillina, L. (2021). Analisis pengaruh E-money, volume transaksi elektronik dan suku bunga terhadap jumlah uang beredar di Indonesia pada masa sebelum dan sesudah pandemi COVID-19. Jurnal Ekonomi, Bisnis Dan Pendidikan, 1(2), 135–145. https://doi.org/10.17977/um066v1i22021p135-145
References
Ahmad Hafid Saiful Fikri, A., Pasca Riani, L., & Sholeh, M. (2024). Journal of Economics, Finance and Management Studies The Impact of Digital Currency on Demand for Money: Evidence from Indonesia. Journal of Economics, Finance and Management Studies, 1673–1680. https://doi.org/10.47191/jefms/v7-i3-30
Akaike, H. (1974). A New Look at the Statistical Model Identification. In IEEE TRANSACTIONS ON AUTOMATIC CONTROL (Number 6).
Anwar, A. I., Fattah, S., & Nirmala. (2023). Analysis of the Effect of Non-cash Payment Transactions, Inflation, Interest Rate on the Money Supply in Indonesia During the Pandemic Covid-19 (pp. 742–752). https://doi.org/10.2991/978-94-6463-146-3_70
Baker, S. R., Bloom, N., Davis, S. J., Jorring, A., Kost, K., Al-Kuwari, A., Biffar, S., Boehnke, J., Dashkeyev, V., Deriy, O., Dinh, E., Ezure, Y., Gong, R., Jindal, S., Kim, R., Klosin, S., Koh, J., Lajewski, P., Nebiyu, D., … Terry, S. (2016). Measuring Economic Policy Uncertainty. www.policyuncertainty.com
Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for Testing the Constancy of Regression Relationships over Time. In Source: Journal of the Royal Statistical Society. Series B (Methodological) (Vol. 37, Number 2).
Bahmani-Oskooee, M., Kutan, A. M., & Xi, D. (2013). The impact of economic and monetary uncertainty on the demand for money in emerging economies. Applied Economics, 45(23), 3278–3287.
https://doi.org/10.1080/00036846.2012.705430
Dewanta, A., & Putri, A. I. N. (2022). Pengaruh E-Money terhadap permintaan uang pada sebelum dan sesudah Covid-19. Jurnal Kebijakan Ekonomi Dan Keuangan, 186–197. https://doi.org/10.20885/jkek.vol1.iss2.art5
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series With a Unit Root.
Engle, R. F., Granger, C. W. J., & Grangeri, C. W. J. (1987). This content downloaded from 90.201.231.41 on Sat (Vol. 55, Number 2).
Friedman, M. (1956). Studies in The Quantity Theory of Money.
Johansen. (1988a). Statistical Analysis of Cointegration Vectors.
Johansen, S. (1988b). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254.
Johansen, S., & Juselius, K. (1990). MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY. Oxford Bulletin of Economics and Statistics, 52(2), 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x
Keynes, J. M. (1936). The General Theory of Employment, Interest, and Money.
Kurniawan, M. L. A., A’yun, I. Q., & Perwithosuci, W. (2022). Money Demand in Indonesia: Does Economic Uncertainty Matter? Jurnal Ekonomi & Studi Pembangunan, 23(2), 231–244. https://doi.org/10.18196/jesp.v23i2.15876
Mishkin, F. S. (2022). THE ECONOMICS OF MONEY, BANKING, AND FINANCIAL MARKETS. Pearson Education Limited.
Mustika, D. M. A., & Hakim, A. (2024). Model empiris penggunaan e-money di Indonesia. Jurnal Kebijakan Ekonomi Dan Keuangan, 66–73. https://doi.org/10.20885/jkek.vol3.iss1.art9
Nizam, A. M. (2022). Impact of e-money on money supply: Estimation and policy implication for Bangladesh. PLoS ONE, 17(4 April). https://doi.org/10.1371/journal.pone.0267595
Ovat, O. O., Abang, S. O., Okoi, O. B., & Ndem, B. E. (2023). Financial Innovation and Demand for Money in Nigeria: Further Empirical Insights. Universal Journal of Accounting and Finance, 11(2), 39–52. https://doi.org/10.13189/ujaf.2023.110202
Prasetyo, A. S. (2018). Determinants of Demand For Money and The Velocity of Money in Indonesia. Journal of Developing Economies, 3(2), 10. https://doi.org/10.20473/jde.v3i2.10464
Ridha, A., & Mutia, R. (2021). ANALISIS PERMINTAAN UANG DI INDONESIA : PENDEKATAN AUTOREGRESSIVE DISTRIBUTED LAG (ARDL). Samuka, 5(2). https://ejurnalunsam.id/index.php/jse
Schwarz, G. (1978). ESTIMATING THE DIMENSION OF A MODEL.
Septina Sitohang, G., Suharianto, J., Silfani, D., Evindey Manihuruk, F., Oktania, A., Sari, A., & Ramdana Irsyad, F. (2025). ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERMINTAAN UANG DI PROVINSI BALI MENGGUNAKAN PENDEKATAN ERROR CORRECTION MODEL (ECM). Jurnal Pendidikan Ekonomi (JUPE), 13(1). https://doi.org/10.26740/jupe.v13n1.p31
Sholihah, M. M., & Sari, E. W. (2024). PENGARUH PEMBAYARAN NON TUNAI, SUKU BUNGA, DAN INFLASI TERHADAP PERMINTAAN UANG DI INDONESIA PERIODE 2018-2023. www.bi.go.id,
Sinta, E., Naibaho, U., Siti, ;, & Zainul Bahri, H. ; (2023). Pengaruh e-money, tingkat suku bunga dan inflasi terhadap jumlah uang beredar di Indonesia. In Journal Perdagangan Industri dan Moneter (Vol. 11, Number 3).
Suroso, A. I., Bahri, S., Achsani, N. A., Suhendi, & Sari, L. K. (2025). Money Demand in Indonesia and Its Forecasting to 2033. Economies, 13(4). https://doi.org/10.3390/economies13040098
Ulfah, C. F., & Suriani, S. (2024). Digital Economy Dynamics: How E-Money, Debit Cards, Inflation, and Exchange Rates Shape Money Demand Stability in Indonesia. Grimsa Journal of Business and Economics Studies, 2(1), 39–51. https://doi.org/10.61975/gjbes.v2i1.37
Yuli Wijaya, A., Mukhlis, I., & Seprillina, L. (2021). Analisis pengaruh E-money, volume transaksi elektronik dan suku bunga terhadap jumlah uang beredar di Indonesia pada masa sebelum dan sesudah pandemi COVID-19. Jurnal Ekonomi, Bisnis Dan Pendidikan, 1(2), 135–145. https://doi.org/10.17977/um066v1i22021p135-145