•  
  •  
 

Abstract

This research aims to identify the sources of instability of the money demand function (M1 and M2) due to structural changes that occur as a result of economic shocks. These shocks, are technically shown by the presence of structural breaks in the data and can lead the parameters non-constancy. The instability of the money demand function was analyzed using the Gregory and Hansen test. The source of instability of the money demand was identified using time varying parameter model. This research used quarterly time series data from 1993Q1 to 2013Q4. The result of Gregory and Hansen test indicates there is no long term equilibrium between variables (money demand, income, domestic interest rate, foreign interest rate, exchange rate, and inflation) in the model, neither M1 nor M2 model. On the other word, money demand function is unstable. The source of the instability is exchange rate variable.

Bahasa Abstract

Penelitian ini bertujuan untuk mengidentifikasi sumber-sumber ketidakstabilan fungsi permintaan uang (M1 dan M2) akibat dari perubahan struktural yang terjadi karena adanya guncangan ekonomi. Guncangan tersebut, yang secara teknis ditunjukkan oleh keberadaan structural breaks di dalam data, dapat menyebabkan parameter menjadi tidak konstan. Ketidakstabilan fungsi permintaan uang dianalisis dengan menggunakan Gregory and Hansen test. Sumber ketidakstabilan dari permintaan uang diidentifikasi dengan menggunakan time varying parameter model. Penelitian ini menggunakan data time series dalam bentuk kuartalan dari 1993Q1 sampai 2013Q4. Hasil Gregory and Hansen test menunjukkan bahwa tidak ada keseimbangan jangka panjang di antara variabel-variabel (permintaan uang, pendapatan, suku bunga domestik, suku bunga luar negeri, nilai tukar, dan inflasi) di dalam model, baik pada model M1 maupun M2. Dengan kata lain, fungsi permintaan uang tidak stabil. Sumber ketidakstabilan tersebut berasal dari variabel nilai tukar.

References

[1] Achsani, N. A. (2010). Stability of money demand in an emerging market economy: An error correction and ARDL model for Indonesia. Research Journal of International Studies, 13, 54–62.

[2] Arango, S., & Nadiri, M. I. (1981). Demand for money in open economies. Journal of Monetary Economics, 7(1), 69–83. doi: https://doi.org/10.1016/0304-3932(81)90052-0.

[3] Banafea,W. A. (2014). Endogenous structural breaks and the stability of the money demand function in Saudi Arabia. International Journal of Economics and Finance, 6(1), 155–164. doi: http://dx.doi.org/10.5539/ijef.v6n1p155.

[4] Bank Indonesia. (2013, Juli). Seni Kebijakan Moneter. Gerai Info Bank Indonesia, Edisi 40 Tahun 4, hlm. 7. Diakses dari http://www.bi.go.id/id/publikasi/gerai-info/Documents/ ae2ee6285f3949e1bfad87e25e59f0a6MASTERGI40JULI2013 LORES.pdf. Tanggal akses 22 Februari 2017.

[5] Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427– 431. doi: 10.2307/2286348.

[6] Dreger, C., & Wolters, J. (2010). Investigating M3 money demand in the Euro area. Journal of International Money and Finance, 29(1), 111–122. doi: https: //doi.org/10.1016/j.jimonfin.2009.02.002.

[7] Dritsakis, N. (2012). Structural breaks, cointegration and the demand for money in Greece. The IUP Journal of Applied Economics, 11(3), 5–21.

[8] El-Shazly, A. (2016). Structural breaks and monetary dynamics: Atime series analysis. Economic Modelling, 53, 133–143. doi: https://doi.org/10.1016/j.econmod.2015.11.019.

[9] Enders, W. (2004). Applied Econometric Time Series, [2nd Edition]. USA: John Wiley & Sons, Inc.

[10] Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica, 55(2), 251–276. doi: 10.2307/1913236.

[11] Ericsson, N. R. (1998). Empirical Modeling of Money Demand. Empirical Economics, 23(3), 295–315. doi: https: //doi.org/10.1007/BF01294409.

[12] Farhani, S. (2012). Tests of parameters instability: Theoretical study and empirical analysis on two types of models (ARMA model and market model). International Journal of Economics and Financial Issues, 2(3), 246–266.

[13] Gregory, A.W.,&Hansen, B. E. (1996a). Residual-based tests for cointegration in models with regime shifts. Journal of Econometrics, 70(1), 99–126. doi: https://doi.org/10.1016/0304- 4076(69)41685-7.

[14] Gregory, A. W., & Hansen, B. E. (1996b). Practitioners corner: Tests for cointegration in models with regime and trend shifts. Oxford Bulletin of Economics and Statistics, 58(3), 555–560. doi: 10.1111/j.1468-0084.1996.mp58003008.x.

[15] Karmeli, E., & Fatimah, S. (2008). Krisis Ekonomi Indonesia. Journal of Indonesian Applied Economics, 2(2), 164–173. doi: http://dx.doi.org/10.21776/ub.jiae.2008.002.02.3.

[16] Malumisa, S. (2015). Structural Breaks, Stability and Demand for Money in South Africa. Journal of Economics and Behavioral Studies, 7(5), 79–90.

[17] Narayan, P. K. (2007). Is money targeting an option for Bank Indonesia?. Journal of Asian Economics, 18(5), 726–738. doi: https://doi.org/10.1016/j.asieco.2007.06.002.

[18] Niyimbanira, F. (2013). Stability of money demand in a developing economy: Empirical evidence fromSouth Africa. International Business & Economics Research Journal, 12(5), 565–572. doi: https://doi.org/10.19030/iber.v12i5.7831.

[19] Setiawan, A. (2011). Inflation Targeting Framework dan Perubahan Respon Kebijakan Moneter. Tesis. Jakarta: Program Magister Perencanaan dan Kebijakan Publik Fakultas Ekonomi Universitas Indonesia.

[20] Simorangkir, I., & Adamanti, J. (2010). Peran stimulus fiskal dan pelonggaran moneter pada perekonomian Indonesia selama krisis finansial global: Dengan pendekatan Financial Computable General Equilibrium. Bulletin of Monetary Economics and Banking [Buletin Ekonomi Moneter dan Perbankan], 13(2), 169–192. http://dx.doi.org/10.21098/bemp.v13i2.259.

[21] Sugema, I. (2012). Krisis Keuangan Global 2008-2009 dan Implikasinya pada Perekonomian Indonesia. Jurnal Ilmu Pertanian Indonesia, 17(3), 145–152.

[22] Suwedayana, I. P. G. D. G., Sumarjaya, I.W., & Suciptawati, N. L. P. (2016). Peramalan Jumlah KunjunganWisatawan Australia yang Berkunjung ke Bali Menggunakan Model Time Varying Parameter (TVP). E-Jurnal Matematika, 5(3), 117– 125. doi: https://doi.org/10.24843/MTK.2016.v05.i03.p130.

[23] Warjiyo, P., & Solikin. (2003). Kebijakan Moneter di Indonesia. Seri Kebanksentralan 6. Jakarta: Pusat Pendidikan dan Studi Kebanksentralan (PPSK) Bank Indonesia. Diakses dari http://www.bi.go.id/id/publikasi/ seri-kebanksentralan/Documents/6.%20Kebijakan% 20Moneter%20di%20Indonesia.pdf. Tanggal akses 11 April 2017.

[24] Wheale, P. R., & Amin, L. H. (2003). Bursting the dot.com ”Bubble": A case study in investor behaviour. Technology Analysis & Strategic Management, 15(1), 117-136. doi: https: //doi.org/10.1080/0953732032000046097.

[25] Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270.

Included in

Economics Commons

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.