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Quantitative Economics Journal
Published by Universitas Negeri Medan
ISSN : 20897847     EISSN : 20897995     DOI : 10.24114
Core Subject : Economy,
Economics, Econometrics & Finance
This journal is contained with the articles that cover the economics area that derived from the research and engineering ideas that are quantitative. The viewers, authors and future authors that expressed in this publication do not necessarily reflect the Department of Economics, Post Graduate Program, State University of Medan
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 205 Documents
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THE ANALYSIS OF DETERMINANT OF FOREIGN DIRECT INVESTMENT IN INDONESIA Siomi, Etsuco
Quantitative Economics Journal Vol 8, No 1 (2019)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v8i1.19926

Abstract

The analysis results show that changes in macroeconomic conditions such as exchange rate, government expenditure and gross domestic product in Indonesia have a significant effect on foreign direct investment (FDI) Indonesia, while Inflation has a negative effect on foreign direct investment FDI and the monetary crisis has a negative effect on the development of FDI in Indonesia. So that the severe financial crisis in the American and European regions today, the impact on foreign direct investment (FDI) Indonesia is still within the limits of tolerance. Therefore, although there are still problems in the investment climate in Indonesia, the outlook for investment in Indonesia over the next period is still good, although perhaps with the growth of investment slows down.
ANALISIS PERMINTAAN DAN PENAWARAN UANG DI INDONESIA Isra Hayati
Quantitative Economics Journal Vol 2, No 1 (2013)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v2i1.17424

Abstract

Demand and supply of money plays an important role in monetary policy in every economy. In a closed economy, the demand and supply of money is influenced by the behavior of banks and the public. Being in an open economy, influenced by the amount of income, the ratio of trade through the influence of interest rates and increasing trend in the general price level continuously over time from a country.This study aims to see the effect of real income, interest rate, reserve requirement and the minimum level of consumer prices to the demand and supply of money in Indonesia.Processing of data using quantitative data and descriptive empirical models of money demand is a function of real income, interest rates and general price level. While the empirical model of the money supply is a function of high-powered money. This study examines the mechanisms and magnitude of the effect of real income, interest rates, general price levels, statutory minimum, and the stock of money in a broad sense over the period 1990 to 2010.By using simultaneous equations Two-Stage Least Square (2SLS), suggesting that the effect of general price level has positive and significant, real income is positive but not significant effect, the interest rate a negative and significant effect on the demand and supply of money in Indonesia. Meanwhile, the stock of money in the importance and the general price level has positive and significant, and the statutory minimum level of real income a negative and no significant effect on interest rates.
PEMBENTUKAN MODEL ARIMA UNTUK PERAMALAN INFLASI KELOMPOK BAHAN MAKANAN DI KOTA TERNATE Rizal Rahman H Teapon
Quantitative Economics Journal Vol 4, No 1 (2015)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v4i1.17460

Abstract

ARIMA modeling and forecasting inflation foodstuffs in Ternate city is the purpose of this study. The method used in this research is ARIMA (Auto Regressive Moving avarage). The results showed that ARIMA (6,1,6) is the best model because it has been qualified in the test parameter estimation, diagnostic test/evaluation models and instrument evaluation test for fault models.
ANALISIS PENGARUH KEBIJAKAN MONETER TERHADAP RETURN INDEKS SAHAM INFOBANK15 DI INDONESIA PERIODE NOVEMBER 2012- FEBRUARI 2016 (STUDY KASUS PADA INDEKS SAHAM PERBANKAN INFOBANK15 YANG TERDAFTAR DI BURSA EFEK INDONESIA) Eva Yudika Sembiring
Quantitative Economics Journal Vol 6, No 1 (2017)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v6i1.17534

Abstract

This study was aimed to see the effects of of monetary policy on Infobank15 index return listed on the Indonesia Stock Exchange. Monetary policy variables is proxied through BI rate, followed by inflation and exchange rate, as well as the Dow Jones index as a control variable. The method of data analysis was multiple regression analysis using secondary data from November 2012 to February 2016. The results showed that the BI rate, inflation, exchange rate, and the Dow Jones index significantly take effect to on Infobank15 index return. The coefficient of determination equals to 0.73 which means that 73% of Infobank15 index returns can be explained by BI Rate, Inflation, exchange rate, and the Dow Jones Index while the rest (27%) is explained by other variables outside of the regression model.
ANALISIS KOINTEGRASI DAN KAUSALITAS ANTARA INFRASTRUKTUR JALAN, PERDAGANGAN BARANG DAN PERTUMBUHAN EKONOMI DI NEGARA ANGGOTA ASEAN Antonius KAP Simbolon
Quantitative Economics Journal Vol 7, No 2 (2018)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v7i2.17557

Abstract

This research aims to analyze Cointegration and Causality among ASEAN Road Infrastructure, ASEAN Total Trade in Goods and Rate of GDP Growth, using time series data, that is yearly data during the time period 2007 to 2015. The method used to test cointegration is Johansen’s Multivariate Cointegration Test dan the method used to test the causality is Granger’s Causality. The result of cointegration test revealed that there are a long run relationship between ASEAN Road Infrastructure, ASEAN Total Trade in Goods and Rate of GDP Growth in each member country of ASEAN. While the results of the Granger Causality test found there is a two-way relationship (mutual causality) between ASEAN Total Trade in Goods and Rate of GDP Growth in each member country of ASEAN. But, there is one-way relationship between ASEAN Road Infrastructure and ASEAN Total Trade in Goods and Rate of GDP Growth in each member country of ASEAN, which ASEAN Road Infrastructure gives effect to ASEAN Total Trade in Goods and Rate of GDP Growth
DAMPAK KEBERADAAN PASAR MODREN TERHADAP KINERJA EKONOMI REGIONAL Rasidin Karo-Karo Sitepu
Quantitative Economics Journal Vol 1, No 1 (2012)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v1i1.17399

Abstract

The objective of study is to analyze the impact of modern market presence to performance of regional economic. Specification model using simultaneous equations and is suspected by the method of two stages least Squares. Using secondary data for series from 1980 to 2010. The results showed that the presence of a modern market significantly negative effect on the turnover of MSMEs trade sector. Conversely a positive impact on MSME sector of agriculture and manufacture. Scenario modern market presence is significantly negative effect on traditional markets. Number of traditional markets and local government original receipt (PAD) will be decrease. However, overall gross regional domestic product (PDRB) and purchasing power parity are increased, while the number of unemployed decreased. To reduce the negative impact of modern market presence can be done by restricted the license of modern markets, increased access to capital, increased market access by doing a partnership with a modern market.
FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI SUMATERA UTARA Elly Suharyadi
Quantitative Economics Journal Vol 3, No 3 (2014)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v3i3.17448

Abstract

The results from the fixed effects model analysis show that the natural resources,gross fixed capital formation, and technology have a significant and positive effectsimultaneously on economic growth in North Sumatra. While labor has a nonsignificant effect on economic growth in North Sumatra. Effect of natural resources, gross fixed capital formation, and technology on economic growth is inelastic and shows a diminishing return for the all the sources of growth. The largest source of economic growth that affects economic growth in North Sumatra is gross fixed capital formation by 0.497 and the largest increase in economic growth due to changes in the sources of economic growth is Pematangsiantar by 5,235 percent, while the smallest is Tanjungbalai City by 2,234 percent.
MODEL PERMINTAAN UANG DI INDONESIA DENGAN PENDEKATAN VECTOR ERROR CORRECTION MODEL Mukhlis, Imam
Quantitative Economics Journal Vol 5, No 3 (2016)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v5i3.17486

Abstract

This research aims to estimate the demand for money model in Indonesia for 2005.22015.12. The variables used in this research are demand for money, interest rate, inflation, and exchange rate (IDR/US$). The stationary test with ADF used to test unit root in the data. Cointegration test applied to estimate the long run relationship between variables. This research employed the Vector Error Correction Model (VECM) to estimate the money demand model in Indonesia. The results showed that all the data was stationer at the difference level (1%). There were long run relationship between interest rate, inflation and exchange rate to demand for money in Indonesia. The VECM model could not explain interaction between explanatory variables to independent variables. In the short run, there were not relationship between interest rate, inflation and exchange rate to demand for money in Indonesia for 2005.2-2015.12.
Analisis Determinan Persaingan Industri Telekomunikasi (PT. Indosat Ooredoo, PT. Telkomsel, PT. XL Axiata) di Indonesia Dalam Pasar Oligopoli Milla Naeruz
Quantitative Economics Journal Vol 7, No 1 (2018)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v7i1.17548

Abstract

Nowadays, cellular phones are highly needed and become the necessities of life. The formulation of the problem was whether the factors of price/tariff, promotion, the number of customers, the number of employees, and tower networks influenced the competition (income) in telecommunication in Indonesia. The theory used in the research was the theory of micro economy and management which were related to income, competition, employees, price, and customers. Secondary data were analyzed quantitatively in the numerical form and time series by using multiple regression models. They were gathered from books, journals, research results, and other sources which were relevant to this research. Dependent variable was competition (income of telecommunication industry), while mindependent variables were tariff/price, the number of customers, the number of employees, promotion, and network. The result and the conclusion of the research showed that the number of customers and tariff had the most dominant influence on competition, while employees, promotion, and network/bts had insignificant influence on competition even though these three variables were the facility to increase company’s income. Therefore, the management of the company should be careful in identifying competitors and in making policies.
PENGARUH KONSENTRASI STRUKTUR PASAR TERHADAP KINERJA INDUSTRI KOMERSIAL PERBANKAN DI INDONESIA PERIODE TAHUN 2007 - 2011 Mr Rofanov
Quantitative Economics Journal Vol 2, No 4 (2013)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/qej.v2i4.17439

Abstract

Based on the ratio of market share of 11 commercial banks discovered the phenomenon gap of the period 2007-2011 where 11 commercial banks dominate the banking market predominantly in Indonesia, including four state-owned banks. This phenomenon has resulted in the banking market structure tends to form an oligopoly, it is obviously affecting the behavior of banks that have a dominant position to maintain supernormal profit, which is reluctant to extend credit with low interest tribes and not a reflection of efficient behavior that ultimately lead to the real sector can not run role in the economy because of factors hampered financing. And with the market conditions are 11 commercial banks were so dominant, which is feared if one bank's collapse could affect the performance of banks in a systemic and even disrupt the Indonesian economy in general. The objectives of this research to determine the form of the banking market structure and analize the influence of concentration market structure and Capital Adequacy Ratio (CAR), Non Performing Loan (NPL), Net Interest Margin (NIM), and Loan to Deposit Ratio (LDR) to Return on Asset (ROA) wich is as a proxy of Financial Performance Banking in 2007 until 2011 periods. The data in this study was collected from Indonesian Banking Directory of 2007-2011. The collected sample was 11 biggest commercial banks over the period from 2007-2011. The analysis model  was used to determine the shape of banking market structure by using CR4 concentration ratio (Four Concentration Ratio) on a share of the assets, the share of third-party funding (DPK) and the share of loans, that produce banking that shaped the oligopoly market structure moderate low or concentration oligopoly level IV, where four largest banks a dominate about 42% - 50% market share. The estimation of the Fixed Effect Model unknown  that concentration market, market share, Capital Adequacy Ratio (CAR), Net Interest Margin (NIM) and the Loan to Deposit Ratio (LDR) has a positive effect on profitability (Return on Assets ) as a proxy for the performance of the banking industry. And for the  Non Performing Loan (NPL) has a negatively effect on profitability (Return on Assets) as a proxy for the performance of the banking industry.

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