Abstract
This article focused on analyze (1) Effect of the money supply, income, domestic interest rates, inflation and the trade balance to the exchange rate in Indonesia. (2) The influence of domestic interest rates, output and the exchange rate on the money supply in Indonesia. Data used time series of (I year quartal 2000 – IV year quartal 2010). This article use analyzer model equation of simultaneous with method of Two Stage Least Squared (TSLS). The result of research concludes that (1) the money supply have a significant and positive impact on the exchange rate, incomes have significant and positive impact on the exchange rate, domestic interest rates significantly and negatively on the exchange rate and inflation have a significant and positive impact on the exchange rate. While the trade balance is not significant and negative effect on the exchange rate in Indonesia. If the money supply increases, the exchange rate will also increase or depreciate. If income increases, the exchange rate will depreciate. If the domestic interest rate increases, the exchange rate will appreciate. If inflation increases, the exchange rate will also depreciate. (2) domestic interest rates, output, and the exchange rate significantly influence the money supply in Indonesia.
Highlights
Artikel ini berfokus pada analisis (1) Pengaruh jumlah uang beredar, pendapatan, tingkat bunga domestik, inflasi dan neraca perdagangan terhadap nilai tukar di Indonesia. (2) Pengaruh tingkat bunga domestik, output dan nilai tukar terhadap jumlah uang beredar di Indonesia
This article focused on analyze (1) Effect of the money supply, income, domestic interest rates, inflation and the trade balance to the exchange rate in Indonesia
Money Demand and Exchange Rate Determination Under Hyperinflation: Conceptual Issues and Evidence from Yugoslavia, Journal of Money, Credit and Banking, Vol 32, No., November 2000, pp.785806
Summary
Berdasarkan pengolahan data dengan bantuan program Eviews 6, diperoleh hasil olahan data untuk berbagai uji dan model analisis sebagai berikut : Uji Stasioner. Uji stasioner yang digunakan dalam penelitian ini adalah uji akar unit (unit root test) yang dikembangkan oleh David Dickey dan Wayne Fuller, atau yang lebih dikenal dengan uji akar unit Dickey-Fuller (DF). Apabila nilai statistik Dickey-Fuller (Dickey-Fuller test statistic) probabilitasnya kecil dari α = 0,05, maka H0 ditolak atau Ha diterima yang artinya variabel tersebut stasioner. Variabel tersebut dapat stasioner apakah itu pada level, 1st difference, atau 2nd difference. Sebaliknya apabila nilai statistik Dickey-Fuller probabilitasnya besar dari α = 0,05, maka H0 diterima atau Ha ditolak yang artinya variabel tersebut tidak stasioner atau mengandung masalah unit root
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
