Real Business Cycle: Stochastic driving force decomposition of output dynamics in East Java
DOI:
https://doi.org/10.22219/jibe.v7i02.28160Keywords:
Real Business Cycle, stochastic shock, dynamic output, East JavaAbstract
This study aims to examine output dynamics in East Java using the Real Business Cycle (RBC) model. We constructed an RBC model with two stochastic shocks originating from the demand and supply sides. The RBC model in this study shows that output dynamics, as the driver of the business cycle in East Java, are mostly caused by exogenous shocks originating from the demand side. The model also shows that some variables such as wage levels, consumption, and capital accumulation exhibit inertia patterns in response to shocks. Therefore, after releasing the assumptions underlying the RBC model and accommodating fiscal and monetary policies, we argue that the response time lag shown by some of these variables can be advantageous for authorities to mitigate the impact of shocks and determine policies. Additionally, two main factors that determine policy effectiveness are understanding the sources of shocks and the timing of policy implementation.
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Ahmed, S., & Murthy, R. (1994). Money, Output, and Real Business Cycles in a Small Open Economy. The Canadian Journal of Economics, 27(4). https://doi.org/10.2307/136195
Amalia, S. K., Santoso, D. B., & Sasongko, S. (2018). Convergence Analysis of Economic Growth in East Java. JEJAK, 11(1). https://doi.org/10.15294/jejak.v11i1.9643
Barro, R. J., & King, R. G. (1984). Time-Separable Preferences and Intertemporal-Substitution Models of Business Cycles. The Quarterly Journal of Economics, 99(4). https://doi.org/10.2307/1883127
Brown, A. J. G., Kohlbrecher, B., Merkl, C., & Snower, D. J. (2021). The effects of productivity and benefits on unemployment: Breaking the link. Economic Modelling, 94. https://doi.org/10.1016/j.econmod.2020.02.037
Brückmann, G., Willibald, F., & Blanco, V. (2021). Battery Electric Vehicle adoption in regions without strong policies. Transportation Research Part D: Transport and Environment, 90. https://doi.org/10.1016/j.trd.2020.102615
Chib, S., & Ramamurthy, S. (2014). DSGE Models with Student-t Errors. Econometric Reviews, 33(1–4). https://doi.org/10.1080/07474938.2013.807152
Christianto, S. Y., Prasetyani, D., & Rawidyo Putr, T. (2022). The Effect of Inflation Rate, Economic Growth Rate and Minimum Wages on Open Unemployment Rate in East Java Year 2013–2021. International Journal of Economics, Business and Management Research, 06(12). https://doi.org/10.51505/ijebmr.2022.61204
Dees, S., Pesaran, M. H., Smith, L. V., & Smith, R. P. (2021). Supply, Demand and Monetary Policy Shocks in a Multi-Country New Keynesian Model. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1663882
Elly Magdalena Silangen. (1994). Pengaruh modal dan tenaga kerja terhadap pertumbuhan output sektor industri di jawa timur. Universitas Airlangga.
Fernández-Villaverde, J., & Guerrón-Quintana, P. A. (2020). Uncertainty shocks and business cycle research. Review of Economic Dynamics, 37. https://doi.org/10.1016/j.red.2020.06.005
Fu, L., & Ho, C. Y. (2022). Monetary policy surprises and interest rates under China’s evolving monetary policy framework. Emerging Markets Review, 52. https://doi.org/10.1016/j.ememar.2022.100895
Galadima, M. D., & Aminu, A. W. (2019). Shocks effects of macroeconomic variables on natural gas consumption in Nigeria: Structural VAR with sign restrictions. Energy Policy, 125. https://doi.org/10.1016/j.enpol.2018.10.021
Galí, J. (2020). The effects of a money-financed fiscal stimulus. Journal of Monetary Economics, 115. https://doi.org/10.1016/j.jmoneco.2019.08.002
Garthwaite, P. H., Fan, Y., & Sisson, S. A. (2016). Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process. Communications in Statistics - Theory and Methods, 45(17). https://doi.org/10.1080/03610926.2014.936562
Guo, J.-T., & Janko, Z. (2009). Reexamination of Real Business Cycles in a Small Open Economy. Southern Economic Journal, 76(1). https://doi.org/10.4284/sej.2009.76.1.165
Harvey, A., & Trimbur, T. (2008). Trend Estimation and the Hodrick-Prescott Filter. JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 38(1). https://doi.org/10.14490/jjss.38.41
Herbst, E., & Schorfheide, F. (2014). Sequential monte carlo sampling for dsge models. Journal of Applied Econometrics, 29(7). https://doi.org/10.1002/jae.2397
Hoffmann, V., & Jones, K. (2021). Improving food safety on the farm: Experimental evidence from Kenya on incentives and subsidies for technology adoption. World Development, 143. https://doi.org/10.1016/j.worlddev.2021.105406
Jaroensathapornkul, J. (2020). Impacts of technological shock on the agricultural business cycle. Jurnal Ekonomi Malaysia, 54(1). https://doi.org/10.17576/JEM-2020-5401-1
Jawadi, F., Ameur, H. Ben, Bigou, S., & Flageollet, A. (2022). Does the Real Business Cycle Help Forecast the Financial Cycle? Computational Economics, 60(4). https://doi.org/10.1007/s10614-021-10193-8
Li, T., Li, X., & Liao, G. (2022). Business cycles and energy intensity. Evidence from emerging economies. Borsa Istanbul Review, 22(3). https://doi.org/10.1016/j.bir.2021.07.005
Mehrotra, A., & Moessner, R. (2023). Macroprudential policy and interest rate spillovers. Applied Economics Letters, 30(1). https://doi.org/10.1080/13504851.2021.1975025
Mountford, A., & Harald, U. (2009). What are the effects of fiscal policy shocks? Journal of Applied Econometrics, 24(6). https://doi.org/10.1002/jae.1079
Ocampo, J. A., & Ojeda-Joya, J. (2022). Supply shocks and monetary policy responses in emerging economies. Latin American Journal of Central Banking, 3(4). https://doi.org/10.1016/j.latcb.2022.100071
Pham, B. T., & Sala, H. (2020). The macroeconomic effects of oil price shocks on Vietnam: Evidence from an over-identifying SVAR analysis. Journal of International Trade and Economic Development, 29(8). https://doi.org/10.1080/09638199.2020.1762710
Plosser, C. I. (1989). Understanding Real Business Cycles. Journal of Economic Perspectives, 3(3). https://doi.org/10.1257/jep.3.3.51
Prescott, E. C., & Kydland, F. E. (1990). Business Cycles: Real Facts and a Monetary Myth. Quarterly Review, 14(2). https://doi.org/10.21034/qr.1421
Qurrata, V. A., & Ramadhani, N. (2021). The Impact of HDI, Minimum Wages, Investment and GRDP on Poverty in East Java in 2019. KnE Social Sciences. https://doi.org/10.18502/kss.v5i8.9393
Rebelo, S. (2010). Real business cycle models: Past, present, and future. Voprosy Ekonomiki, 2010(10). https://doi.org/10.32609/0042-8736-2010-10-56-67
Resosudarmo, B. P., Abdurohman, Yusuf, A. A., & Hartono, D. (2021). Spatial impacts of fiscal stimulus policies during the 2009 global financial crisis in Indonesia. Asia-Pacific Journal of Regional Science, 5(1). https://doi.org/10.1007/s41685-020-00176-2
Romer, D. (2015). ADVANCED MACROECONOMICS Fourth Edition. In Syria Studies (Vol. 7, Issue 1).
Sakarya, N., & de Jong, R. M. (2022). The spectral analysis of the Hodrick–Prescott filter. In Journal of Time Series Analysis (Vol. 43, Issue 3). https://doi.org/10.1111/jtsa.12622
Sujeetha Jegajeevan. (2016). Understanding Sri Lankan Business Cycles through an estimated DSGE Model. 9th International Research Conference (2016), Central Bank of Sri Lanka, Colombo.
Susilo, J. H., Tsani, L. I., Herianto, H., & Kholilurrohman, M. (2020). Econometrics Model of Economic Growth in East Java Province with Dynamic Panel Data through Generalized Method of Moment (GMM) Approach. Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi, 15(1). https://doi.org/10.24269/ekuilibrium.v15i1.2372
Tervala, J., & Watson, T. (2022). Hysteresis and fiscal stimulus in a recession. Journal of International Money and Finance, 124. https://doi.org/10.1016/j.jimonfin.2022.102614
Vinajera-Zamora, A., Marrero-Delgado, F., & Coello-Machado, N. (2014). The added value calculation in a manufacturing supply chain. an application in an electric power meter (127v) supply chain. Proceedings of 7th International Doctoral Students Workshop on Logistics, September.
Yusuf Dauda, S., & Lee, J. (2015). Technology adoption: A conjoint analysis of consumers’ preference on future online banking services. Information Systems, 53, 1–15. https://doi.org/10.1016/j.is.2015.04.006
Zulkarnain, R. (2022). Flash Estimates of Household Final Consumption Expenditure in East Java. East Java Economic Journal, 6(1). https://doi.org/10.53572/ejavec.v6i1.84
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