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Analisis Inflation Targeting Framework (ITF) dan Perubahan Respon Kebijakan Moneter Pasaribu, Ayu Angelina; Pratomo, Wahyu Ario; Tanjung, Ahmad Albar
Jurnal Samudra Ekonomi dan Bisnis Vol 15 No 3 (2024): JSEB
Publisher : Fakultas Ekonomi dan Bisnis Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jseb.v15i3.10856

Abstract

The purpose of this study is to determine how the implementation of inflation targeting framework (ITF) and how the changes in monetary policy response. The data period starts from 2014 to 2023, with monthly data. The data analysis method used is a model of two interrelated simultaneous equations, called Two Stage Least Square (2SLS). The results of this study explain that the exogenous variables in the first equation of real interest rates, inflation, inflation gap, output gap have a positive and significant effect on the BI rate. Exogenous variables in the second equation, namely inflation target, BI rate, exchange rate, WTI world oil price have a positive and significant effect on inflation. However, the output gap has a negative and significant effect on inflation, and the money supply has no significant effect on inflation. The change in monetary policy response is seen from the increase or decrease of BI rate by 25 Basis points.
ANALISIS KEMISKINAN DI PROVINSI ACEH DENGAN PEMODELAN PANEL DINAMIS Ruslan, Dede; Pasaribu, Ayu Angelina; Parangin Angin, Sutejo
Jurnal Ilmiah Ekonomi Bisnis Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/eb.2025.v30i1.8141

Abstract

Provinsi Aceh merupakan salah satu provinsi di Indonesia yang mengalami tingginya angka kemiskinan.  Oleh karena itu kemiskinan di Aceh terus menjadi subjek diskusi yang hangat, ditambah lagi Pandemi COVID-19 meluluh-lantakkan banyak sistem kehidupan di seluruh dunia, memperburuk kondisi ini.Pada studi ini data yang digunakan adalah panel dinamis yang mencakup 23 kabupaten di Provinsi Aceh antara tahun 2014 sampai dengan tahun 2024. Penelitian ini menggunakan pendekatan Generalized Method of Moments (GMM). Hasil penelitian menghasilkan bahwa dengan pendugaan FEM (Fixed Effect Model) kesenjangan nilai konvergen rendah, ini lebih kecil dibandingkan dengan pendugaan PLS dengan kecepatan konvergen lebih besar dari pendugaan FDGMM (First Difference GMM). Kesenjangan yang memberikan kontribusi paling tinggi adalah dengan pendugaan SYSGMM (System GMM) dengan konvergen lebih besar dibandingnkan pendugaan FEM, PLS (Partial Least Square) dan FDGMM. Dengan demikian, estimasi SYSGMM merupakan model yang optimal dalam pendugaan parameter elastisitas jangka pendek dan jangka panjang dalam menurunkan kemiskinan.
Optimizing Micro, Small, and Medium Business Ecosystem Elements to Improve the Economic Competitiveness of North Sumatra Pasaribu, Ayu Angelina; Butar Butar, Riyani
Journal of Sustainable Economics Vol. 3 No. (2) (2025): Journal of Sustainable Economics
Publisher : TALENTA PUBLISHER UNIVERSITAS SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jse.v3i(2).23390

Abstract

Micro, small, and medium enterprises (MSMEs) have long been an important pillar in driving economic growth. This study aims to analyze the MSME ecosystem in relation to competitiveness in North Sumatra Province. This research uses the Vector Autoregression Error Correction model. The results show that in the short term, there is an increase in access to capital, which significantly and positively affects income. This is consistent in the long term, where there is a positive and significant effect of increased access to capital in driving the system towards long-term equilibrium. Increased adoption of internet technology has a positive and significant effect. Long-term analysis shows a positive coefficient for internet technology adoption. In the short term, not receiving guidance/training/counseling (BPP) shows a positive and significant effect. However, long-term findings show a negative and significant impact. Short-term findings show that the bank loan variable has a negative and significant impact, which is consistent with long-term findings.