Money Demand Stability with Endogenous Structural Breaks and the Role of Payment System Innovation in Indonesia

Wishnu Badrawani

Abstract


This study examines the stability of the demand for money function in Indonesia using quarterly data from 2007 to 2021, employing Gregory-Hansen's (1996) cointegration test and Hendry's general-to-specific approaches. The cointegration and error correction models show a causal relationship between money demand and its conventional determinants and payment system innovation. Considering the central bank policy that part of economic reforms captured by the structural break in the cointegration test and the stability test results of the short-run analysis, we confirm the stable narrow money and currency demand and its dynamics in Indonesia.  The Gregory and Hansen test found a cointegrating relationship between money demand variables, with a structural break in 2011Q2, which refers to the central bank's new minimum reserve policy. The paper advises that the central bank should comprehensively understand how technological advancement in the payment system affects money demand and how prior central bank policy may induce a structural break to maintain the optimality of future monetary policy.


Keywords


Money demand; payment system; technology innovation; structural break; monetary policy.

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Adil, M. H., N. Hatekar, and P. Sahoo (2020). The impact of financial innovation on the money demand function: An empirical verification in india. Margin: The Journal of Applied Economic Research 14(1), 28–61.

Ahad, M. (2017). Financial development and money demand function: Cointegra- tion, causality and variance decomposition analysis for pakistan. Global Business Re- view 18(4), 811–824.

Aristiyowati, E. S. and T. A. Falianty (2018). Peranan perkembangan inovasi finansial sistem pembayaran dalam mempengaruhi permintaan uang di indonesia. EKUITAS (Jurnal Ekonomi dan Keuangan) 2(3), 404–426.

Atzei, N., M. Bartoletti, and T. Cimoli (2017). A survey of attacks on ethereum smart contracts (sok). In International conference on principles of security and trust, pp. 164– 186. Springer.

Åberg, P., Corsi, M., Grossmann-Wirth, V., Hudepohl, T., Mudde, Y., Rosolin, T., & Schobert, F. (2021). Demand for central bank reserves and monetary policy implementation frameworks: the case of the Eurosystem. ECB occasional paper, (2021/282).

Bech, M. L., U. Faruqui, F. Ougaard, and C. Picillo (2018). Payments are a-changin’but cash still rules. BIS Quarterly Review.

Bordo, M. D. and A. T. Levin (2017). Central bank digital currency and the future of monetary policy. Technical report, National Bureau of Economic Research.

Camera, G. (2017). A perspective on electronic alternatives to traditional currencies. Sveriges Riksbank economic review 1, 126–148.

Cabezas, L., & Jara, A. (2021). The demand for cash: stylized facts and substitution by electronic means of payment.

Campos, J., N. R. Ericsson, and D. F. Hendry (2005). General-to-specific modeling: an overview and selected bibliography. FRB International Finance Discussion Paper 838.

de Almeida, P., P. Fazendeiro, and P. R. Ina ́cio (2018). Societal risks of the end of physical cash. Futures 104, 47–60.

Dias, J. (2001). Digital money: Review of literature and simulation of welfare improvement of this technological advance. State University of Maringa.

Dunne, J. P. and E. Kasekende (2018). Financial innovation and money demand: Evidence from sub-saharan africa. South African Journal of Economics 86 (4), 428–448.

Enders, W. (2015). Applied econometric time series fourth edition. New York (US): University of Alabama.

Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276.

Fender, J. (2012). Monetary policy. John Wiley & Sons.

Friedman, M. (1970). A theoretical framework for monetary analysis. journal of Political Economy 78(2), 193–238.

Galati, G., S. Poelhekke, and C. Zhou (2018). Did the crisis affect inflation expectations? 24th issue (Mar 2011) of the International Journal of Central Banking.

Gillitzer, C. and J. Simon (2018). Inflation targeting: A victim of its own success. 41st issue (September 2015) of the International Journal of Central Banking.

Goncalves, C. E. S. and J. M. Salles (2008). Inflation targeting in emerging economies: What do the data say? Journal of Development Economics 85 (1-2), 312–318.

Gregory, A. W. and B. E. Hansen (1996a). Practitioners corner: tests for cointegration in models with regime and trend shifts. Oxford bulletin of Economics and Statistics 58(3), 555–560.

Gregory, A. W. and B. E. Hansen (1996b). Residual-based tests for cointegration in models with regime shifts. Journal of econometrics 70 (1), 99–126.

Hammad Naeem, M., Subhan, M., Alam, M. S., Al-Faryan, M. A. S., & Yameen, M. (2023). Examining the role of financial innovation on economic growth: Fresh empirical evidence from developing and developed countries. Cogent Economics & Finance, 11(1), 2170000.

Hendry, D. F. and G. E. Mizon (2005). Forecasting in the presence of structural breaks and policy regime shifts. Identification and inference for econometric models, 480–502.

Huntington, H. G., J. J. Barrios, and V. Arora (2019). Review of key international demand elasticities for major industrializing economies. Energy Policy 133, 110878.

Igamo, A. M. and T. A. Falianty (2018). The impact of electronic money on the efficiency of the payment system and the substitution of cash in indonesia. Sriwijaya International Journal of Dynamic Economics and Business 2 (3), 237–254.

Bank Indonesia (2019). Blueprint sistem pembayaran indonesia 2025 bank indonesia: Menav- igasi sistem pembayaran nasional di era digital.

Issing, M. O. (2011). Lessons for monetary policy: What should the consensus be? Inter- national Monetary Fund.

Juhro, S. M. and M. Goeltom (2015). The monetary policy regime in indonesia. Macro- Financial Linkages in Pacific Region, Akira Kohsaka (Ed.), Routledge.

Kahn, G. A. and S. Benolkin (2007). The role of money in monetary policy: why do the fed and ecb see it so differently? Economic Review-Federal Reserve Bank of Kansas City 92(3), 5.

Karavias, Y., P. K. Narayan, and J. Westerlund (2022). Structural breaks in interactive effects panels and the stock market reaction to covid-19. Journal of Business & Economic Statistics, 1–14.

Kia, A. (2024). Demand for Money in the United States: Stability and Forward-Looking Tests. Economies, 12(2), 49.

Kombe, C. A., Yabu, N., Mwita, D. L., & Mbiha, G. E. (2020). Mobile phone payments and demand for cash: The case of Tanzania.

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.

Leong, C.-M., P. Chin-Hong, and M. M.-J. Tang (2021). Symmetric and asymmetric approaches to money demand determination in indonesia: is divisia money relevant? The Journal of Asian Finance, Economics and Business 8 (7), 393–402.

Lubis, A., C. Alexiou, and J. G. Nellis (2019). Payment system innovations and financial intermediation: The case of indonesia. Technical report, ADBI Working Paper Series.

Luo, S., Y. Sun, and R. Zhou (2022). Can fintech innovation promote household con- sumption? evidence from china family panel studies. International Review of

Melati, I., & Kurniawan, M. L. A. (2023). Money Demand Analysis through Business Cycle in Indonesia. Ekuilibrium: Jurnal Ilmiah Bidang Ilmu Ekonomi, 18(2), 203-212.

Mishkin, F. S. (2010). Monetary policy flexibility, risk management, and financial disruptions. Journal of Asian Economics 21 (3), 242–246.

Mlambo, C. and S. K. Msosa (2020). The effect of financial technology on money demand: evidence from selected african states. International Journal of Economics and Business Administration VIII.

Nepal, R. and N. Paija (2020). Stability of money demand function in the saarc region. Journal of Economic Integration 35(1), 111–128.

Oyelami, L. O., S. O. Adebiyi, and B. S. Adekunle (2020). Electronic payment adoption and consumers’ spending growth: empirical evidence from nigeria. Future Business Journal 6(1), 1–14.

Pesaran, M. H. and A. Timmermann (2004). How costly is it to ignore breaks when forecasting the direction of a time series? International Journal of Forecasting 20(3), 411–425.

Pramono, B., T. Yanuarti, P. D. Purusitawati, and Y. T. Emmy (2006). Dampak pemba- yaran non tunai terhadap perekonomian dan kebijakan moneter. Bank Indonesia 11 (01), 01–55.

Saving, T. R. (1977). A theory of the money supply with competitive banking. Journal of Monetary Economics 3(3), 289–303.

Tee, H.-H. and H.-B. Ong (2016). Cashless payment and economic growth. Financial Innovation 2(1), 1–9.

Tule, M. K. and M. O. Oduh (2017). Financial innovations and the future of monetary policy in nigeria. Economics of Innovation and New Technology 26(5), 453–476.

Varga, T. I.-L. (2016). Macroeconomic effects of the increase of electronic retail payments– a general equilibrium approach using hungarian data. Financial and Economic Review, 129.

Warjiyo, P. (2017). Indonesia: The macroprudential framework and the central bank’s policy mix. BIS Paper 94n.

Warjiyo, P. and S. M. Juhro (2022). Central bank policy mix: Issues, challenges, and policy responses: Handbook of central banking studies.

Wiafe, E. A., C. Quaidoo, and S. Sekyi (2022). Monetary policy effectiveness in the advent of mobile money activity: Empirical evidence from ghana. Cogent Economics & Finance 10(1), 2039343.

Whelan, K. (2021). Central banks and inflation: where do we stand and how did we get here?. European Journal of Economics and Economic Policies, 18(3), 310-330.

Wong, T.-L., W.-Y. Lau, and T.-M. Yip (2020). Cashless payments and economic growth: Evidence from selected oecd countries. Journal of Central Banking Theory and Practice 9(s1), 189–213.

Zams, B. M. (2018). An Empirical and Quantitative Study of the Indonesian Economy. Ph. D. thesis, University of Sydney.


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