scholarly journals The Long-Run and Short-Run Impacts of Investment, Export, Money Supply, and Inflation on Economic Growth In Indonesia

2019 ◽  
Vol 22 (1) ◽  
Author(s):  
Erni Panca Kurniasih
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Error Correction ◽  
Money Supply ◽  
Time Series Data ◽  
Error Correction Model ◽  
Series Data ◽  
Correction Model ◽  
Long Run ◽  
Short Term Investment

ABSTRACTThe development of investment and exports in Indonesia shows an increase, as well as money supply, while the inflation rate shows a decline, but this is not always followed by increasing economic growth. This study aims to explain the relationship between investment, export, money supply and inflation with the economic growth in Indonesia. The data used was time series data from the first quarter in 2001 to the fourth quarter in 2014 and was analyzed using multiple regression models with Error Correction Model (ECM) and classical assumptions. The study findings show that in short-term investment, export, money supply and inflation are not significant to economic growth. In long-run, investment has negative and significant effect on the economic growth, while export, money supply and inflation have positive and significant effect on the economic growth in Indonesia. Bank Indonesia must applied a tight money policy consistently to achieve the long-term inflation target ABSTRAKPerkembangan investasi dan ekspor di Indonesia menunjukkan peningkatan, demikian pula jumlah uang beredar, sementara tingkat inflasi menunjukkan penurunan, namun hal tersebut tidak selalu diikuti dengan meningkatnya pertumbuhan ekonomi. Studi ini bertujuan untuk menjelaskan hubungan antara investasi, ekspor neto, jumlah uang beredar dan inflasi terhadap pertumbuhan ekonomi di Indonesia. Data yang digunakan adalah data time series dari kuartal pertama tahun 2001 hingga kuartal keempat tahun 2014 dan dianalisa dengan menggunakan model regresi berganda dengan Error Correction Model (ECM). Hasil studi menunjukkan  bahwa investasi, ekspor, jumlah uang beredar dan inflasi tidak signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka pendek. Investasi berpengaruh negatif dan signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka panjang, sedangkan ekspor , jumlah uang beredar dan inflasi berpengaruh positif dan  signifikan terhadap pertumbuhan ekonomi di Indonesia. Bank Indonesia harus menerapkan kebijakan moneter yang ketat secara konsisten pada pencapaian sasaran inflasi jangka menenngah 

scholarly journals INTERAKSI ASPEK PERMODALAN, RISIKO PEMBIAYAAN, DAN INDIKATOR MAKROEKONOMI DALAM MEMPENGARUHI PROFITABILITAS BPRS DI INDONESIA PERIODE 2014-2018

2020 ◽  
Vol 5 (3) ◽  
pp. 401
Author(s):  
Feri Irawan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Error Correction ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Long Run ◽  
Short And Long Term

<p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>This study aims to analyze the effect of capital aspects (CAR), financing risk (NPF) and macroeconomic variables including economic growth, inflation and the BI Rate on profitability (ROE) in the short and long term. By using time series data for the monthly period from 2013-2018 and the Error-Correction Model (ECM) and cointegration approach, it is found that CAR and NPF do not have a significant effect on ROE in the short and long term. Economic growth, inflation and the BI Rate in the short term do not have a significant effect on ROE, in the long run economic growth, inflation and the BI Rate have a significant effect on ROE. In the short term, economic growth, inflation and the BI Rate disturb the balance of profitability, but in the long run it returns to its equilibrium level. It is necessary to integrate the BPRS policy strategy in managing capital and risk with government policies related to economic growth and inflation.</em></p><p><em> </em></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>Penelitian bertujuan menganalisis pengaruh aspek permodalan (CAR), risiko pembiayaan (NPF) dan variabel makroekonomi yang meliputi pertumbuhan ekonomi, inflasi dam BI Rate  terhadap profitabilitas (ROE) dalam jangka pendek dan jangka panjang. Dengan menggunakan data time series periode bulanan dari tahun 2013-2018 dan pendekatan Error-Correction Model  (ECM) dan kointegrasi, ditemukan bahwa CAR dan NPF tidak berpengaruh secara signifikan terhadap ROE dalam jangka pendek dan jangka panjang. Pertumbuhan ekonomi, inflasi dan BI Rate dalam jangka pendek tidak berpengaruh signifikan terhadap ROE, dalam jangka panjang pertumbuhan ekonomi, inflasi dan BI Rate berpengaruh signfikan terhadap ROE. Pada jangka pendek, pertumbuhan ekonomi, inflasi dan BI Rate menggangu keseimbangan profitabilitas namun dalam jangka panjang kembali pada tingkat keseimbangannya. Diperlukan pengintegrasi strategi kebijakan BPRS dalam mengelola permodalan dan risiko dengan kebijakan pemerintah terkait dengan pertumbuhan ekonomi dan inflasi.</em><em></em></p><p align="right"> </p>

scholarly journals Analyzing The Macroeconomic and Fundamental Determinants of Non-Performing Financing of Bank Muamalat Indonesia

2020 ◽  
Vol 11 (1) ◽  
pp. 49-78
Author(s):  
Pungky Lela Saputri ◽  
Ratno Agriyanto ◽  
Mujiyono Abdillah
Keyword(s):  
Time Series ◽  
Error Correction ◽  
Time Series Data ◽  
Error Correction Model ◽  
Capital Adequacy ◽  
Series Data ◽  
Islamic Banking ◽  
Correction Model ◽  
Long Run ◽  
Short Run

Abstract: This study analyzes the macroeconomic and fundamentals of Islamic banking factors towards the non-performing financing (NPF) of Bank Muamalat Indonesia in the long run and short-run period 2005-2018. The data used in this study are quarterly time-series data of Bank Muamalat Indonesia Financial Report as the source of fundamentals of Islamic banking data and Bank Indonesia Monetary Policy Review as the source of macroeconomic data period 2005 - 2018. The analytical method used is the Error Correction Model (ECM). This study shows that in the long run, inflation, central bank (Bank Indonesia/BI) Rate, and capital adequacy ratio (CAR) significantly affect the NPF; meanwhile, the financing to deposit (FDR) ratio does not affect NPF. In the short term context, only CAR has a significant effect, yet inflation, BI Rate, and FDR have no significant impact on NPF. Thus, the novelty can present the result of analysis of factors that affect NPF in the long run and short run. The limitation of the study is the use of time-series data that are very likely to spurious regression.Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh faktor makroekonomi dan fundamental perbankan syariah terhadap NPF Bank Muamalat Indonesia dalam jangka panjang dan jangka pendek periode 2005-2018. Data yang digunakan dalam penelitian ini yaitu data runtun waktu Laporan Keuangan Triwulan Bank Muamalat Indonesia sebagai sumber data fundamental perbankan syariah dan Tinjauan Kebijakan Moneter Bank Indonesia sebagai sumber data makroekonomi periode 2005 – 2018. Faktor makroekonomi diwujudkan dalam variabel Inflasi dan BI Rate. Faktor fundamental perbankan syariah diwujudkan dalam variabel CAR dan FDR. Alat analisis yang digunakan yaitu Error Correction Model (ECM). Hasil analisis menunjukkan dalam jangka panjang Inflasi, BI Rate, dan CAR dengan nilai signifikansi 0.0026, 0.0001, dan 0.0032 berpengaruh signifikan dan FDR dengan nilai signifikansi 0.6940 tidak berpengaruh signifikan terhadap NPF. Dalam jangka pendek hanya CAR dengan nilai signifikansi 0.0056 yang berpengaruh signifikan sedangkan Inflasi, BI Rate, dan FDR dengan nilai signifikansi 0.0666, 0.9532, and 0.2065 berpengaruh tidak signifikan terhadap NPF. Kebaharuan penelitian ini yaitu penelitian ini mampu menyajikan hasil analisis faktor-faktor yang mempengaruhi NPF dalam jangka panjang dan jangka pendek. Meski begitu, terdapat juga limitasi pada penelitian ini yaitu penggunaan data time series yang rawan terkena regresi lancung.

Causality between VAT and economic growth in Nigeria: An ARDL bounds testing approach

2018 ◽  
Vol 6 (1) ◽  
pp. 55
Author(s):  
Hammed Agboola Yusuf ◽  
Irwan Shah Zainal Abidin ◽  
Normiza Bakar ◽  
Oluwaseyi Hammed Musibau
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Error Correction ◽  
Trade Openness ◽  
Value Added ◽  
Error Correction Model ◽  
Domestic Investment ◽  
Correction Model ◽  
Long Run ◽  
Short Run

Value Added Tax(VAT) is a consumption tax imposed at every stage of consumption level whose burden is burned by final consumer of goods and services. In most developing economies in the world, VAT as a source of revenue to the government that has been notable for its significant role in ensuring economic efficiency. However, VAT revenue has been underutilised in Nigeria due to a high level of corruption in the process of administering the tax. This study examines the impact of VAT, domestic investment and trade openness on economic growth in Nigeria from 1980 to 2016 using ARDL techniques. The research design is time series, and the data were analysed using time series unit root test, error correction model regression, short run and long run ARDL. The result found that VAT, domestic investment and trade openness had a positive and significant impact on real GDP. Also, corruption index is negative also significant in the long run. In the same vein, past value added tax had a negative and weak significant impact on real gross domestic product indicating convergence to long-run causality between economic growths and VAT and economic growth. The Error Correction Model (ECM (-1)) coefficient had a negative and statistically significant sign. This shows that 39 percent can quickly correct short-run deviation. The study, therefore,  recommends that tax administrative loopholes should be plugged for tax revenue to contribute immensely to the development of the economy since past VAT had a significant impact on economic growth.

scholarly journals PROFITABILITY OF ISLAMIC MICROFINANCE IN INDONESIA: DOES THE TYPE OF FINANCING MATTER?

2021 ◽  
Vol 1 (1) ◽  
pp. 31-38
Author(s):  
Chitra Yuliashri Katili ◽  
Rifadli D. Kadir
Keyword(s):  
Time Series ◽  
Error Correction ◽  
Significant Influence ◽  
Time Series Data ◽  
Error Correction Model ◽  
Series Data ◽  
Correction Model ◽  
Islamic Microfinance

This study aims to examine the effect of Inflation Variables, CAR, NPF, Murabahah Financing, Mudharabah Financing, and Musyarakah Financing on the Profitability of Sharia BPRs in Indonesia. This study uses time series data from 2016-2020. The data is processed using the Error Correction Model (ECM). This study concludes that Murabahah Financing Variables have a significant influence and other variables, namely Inflation, CAR, NPF, Mudharabah Financing and Musyarakah Financing have no effect on the Profitability of Sharia BPRs in Indonesia. Thus, the type of financing affects the profitability of Sharia BPR in Indonesia

scholarly journals Analisis Pengeluaran Sektor Pariwisata terhadap Ketimpangan Upah Tenaga Kerja di Indonesia

2019 ◽  
pp. 100-118
Author(s):  
Lalu Muhammad Azmi Prasetya ◽  
M. Pudjihardjo ◽  
Nurul Badriyah
Keyword(s):  
Time Series ◽  
Error Correction ◽  
Wage Inequality ◽  
Foreign Investment ◽  
Time Series Data ◽  
Government Expenditure ◽  
Error Correction Model ◽  
Series Data ◽  
Correction Model ◽  
Foreign Tourist

This study analyses the effect of foreign tourist expenditure, government expenditure and foreign investment on wage inequality between skilled, semi-skilled and unskilled labour in the Indonesian tourism sector. The study uses time series data with a period of 22 years. The method used is Error Correction Model (ECM). The results of this study indicate that foreign tourist expenditure and government expenditure increase inequality in the short term, but in the long run can reduce wage inequality. Meanwhile, foreign investment increases inequality both in the short and long term. ================================ Penelitian ini menganalisis pengaruh pengeluaran wisatawan mancanegara, pengeluaran pemerintah dan investasi asing terhadap ketimpangan upah antara tenaga kerja terampil, semi terampil, dan tidak terampil di sektor pariwisata Indonesia. Penelitian menggunakan data time series dengan periode waktu 22 tahun. Metode yang digunakan adalah Error Correction Model (ECM). Hasil penelitian ini menunjukkan bahwa pengeluaran wisatawan dan pemerintah meningkatkan ketimpangan dalam jangka pendek, namun dalam jangka panjang mampu menurunkan ketimpangan upah. Investasi asing meningkatkan ketimpangan, baik dalam jangka pendek maupun jangka panjang.

Analisis Kekakuan dan Faktor-faktor yang Memengaruhi Tingkat Suku Bunga Perbankan di Indonesia

2013 ◽  
Vol 8 (2) ◽  
pp. 26
Author(s):  
Eko Listiyanto ◽  
Telisa Aulia Falianty
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Interest Rates ◽  
Error Correction ◽  
Time Series Data ◽  
Error Correction Model ◽  
Least Square ◽  
Capital Adequacy ◽  
Series Data ◽  
Correction Model

<p align="center"><em>ABSTRACT</em></p><p><em>The research discusses the rigidity of interest rates on deposits and loans to changes in interest rate policies in the three groups of banks in Indonesia, and the factors that influence the interest rates on deposits and loans in the banking system. Rigidity of bank interest rates were analyzed with error correction model approach (Error Correction Model / ECM) using panel data. While the factors that influence the development of the banking interest rates were analyzed with multiple linear regression approach method of Generalized Least Square (GLS) using time series data. The period of data used from July 2005-March 2010.</em></p><p><em>Error Correction Model shows the slackness of interest rates response on deposits and loans toward the policy of interest rate. The rigidity of interest rates on deposits and loans in Indonesia is relatively slow when compared to some other countries.</em></p><p><em>Regression results with GLS method proves that the banking efficiency factor, bad credit and market share significantly influence the interest rates on deposits. While the borrowing rate is influenced by the rate of inflation, capital adequacy ratio, as well as bad credit. The results of this study suggest the importance of watching bad credit factors in making monetary policy because it can affect the interest rates on deposits and lending interest rates.  </em></p><p>ABSTRAK</p><p>Penelitian ini membahas kekakuan suku bunga deposito dan pinjaman untuk perubahan kebijakan suku bunga dalam tiga kelompok bank di Indonesia, dan faktor-faktor yang mempengaruhi suku bunga deposito dan pinjaman dalam sistem perbankan. Kekakuan suku bunga perbankan dianalisis dengan pendekatan error correction model (Error Correction Model / ECM) menggunakan data panel. Sedangkan faktor-faktor yang mempengaruhi perkembangan suku bunga perbankan dianalisis dengan metode pendekatan regresi linier berganda dari Generalized Least Square (GLS) dengan menggunakan data time series. Periode data yang digunakan dari Juli 2005-Maret 2010.</p><p>Error Correction Model menunjukkan kelambanan dari suku bunga respon deposito dan pinjaman terhadap kebijakan tingkat suku bunga. Kekakuan suku bunga deposito dan pinjaman di Indonesia relatif lambat jika dibandingkan dengan beberapa negara lain.</p><p>Hasil regresi dengan metode GLS membuktikan bahwa faktor efisiensi perbankan, kredit macet dan pangsa pasar secara signifikan mempengaruhi suku bunga deposito. Sementara tingkat pinjaman dipengaruhi oleh tingkat inflasi, rasio kecukupan modal, serta kredit macet. Hasil penelitian ini menunjukkan pentingnya menonton faktor kredit macet dalam membuat kebijakan moneter karena dapat mempengaruhi suku bunga deposito dan suku bunga kredit.</p>

scholarly journals Moving forward with time series analysis

2017 ◽  
Vol 4 (4) ◽  
pp. 205316801773223
Author(s):  
Peter K. Enns ◽  
Nathan J. Kelly ◽  
Takaaki Masaki ◽  
Patrick C. Wohlfarth
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Error Correction ◽  
Time Series Data ◽  
Error Correction Model ◽  
Series Data ◽  
Correction Model ◽  
Standard Procedures ◽  
Cointegration Tests ◽  
General Error

In a recent Research and Politics article, we showed that for many types of time series data, concerns about spurious relationships can be overcome by following standard procedures associated with cointegration tests and the general error correction model (GECM). Matthew Lebo and Patrick Kraft (LK) incorrectly argue that our recommended approach will lead researchers to identify false (i.e., spurious) relationships. In this article, we show how LK’s response is incorrect or misleading in multiple ways. Most importantly, when we correct their simulations, their results reinforce our previous findings, highlighting the utility of the GECM when estimated and interpreted correctly.

scholarly journals PENDUGAAN FUNGSI PENAWARAN EKSPOR RUMPUT LAUT INDONESIA DI PASAR INTERNASIONAL Analisis Pendekatan Error Correction Model (ECM)

2017 ◽  
Vol 3 (1) ◽  
pp. 55
Author(s):  
Risna Yusuf ◽  
Tajerin Tajerin
Keyword(s):  
Time Series ◽  
Error Correction ◽  
Time Series Data ◽  
Export Price ◽  
International Market ◽  
Error Correction Model ◽  
Series Data ◽  
Correction Model ◽  
Export Supply ◽  
The Government

Kajian ini bertujuan untuk menduga faktor-faktor yang mempengaruhi penawaran ekspor rumput laut Indonesia di pasar Internasional dengan menggunakan data runut waktu (time series data) tahun 1975 hingga 2005. Pendugaan persamaan penawaran ekspor rumput laut tersebut dilakukan dengan pendekatan metoda koreksi kesalahan (Error Corection Model – ECM). Hasil analisis menunjukkan bahwa penawaran ekspor rumput laut Indonesia ke pasar internasional dipengaruhi oleh produksi, harga ekspor, pendapatan nasional bruto negara mitra dagang, nilai tukar rupiah dan ekspor rumput laut Indenesia tahun lalu dengan arah perubahan yang sama (positif), dan harga domestik dan tingkat suku bunga dengan arah perubahan yang berlawanan (negatif). Oleh karena itu, perlu kesungguhan pemerintah bersama nelayan/pembudidaya & eksportir rumput laut untuk menjaga mutu; dan lebih meningkatkan kerjasama perdagangan dengan negara mitra dagang Indonesia (Importir), demikian juga dengan negara produsen lainnya. Tittle: The Estimation of Indonesian Seaweed Export Supply Function in the International Market : Analysis of Error Correction Model (ECM)The aim of the research was to estimate the factors affecting Indonesian seaweed export supply in international market using secondary time series data from 1975 until 2005. The estimation of supply was done using error correction model (ECM). The results show that export supply of Indonesian seaweed in international markets is affected by production, export price, gross national product, exchange rate, and lagged export of Indonesian seaweed which all have positive signs. On the other hand domestic price and interest rate have negative signs. Therefore, the government, fishers/seaweed farmers and seaweed exporter must pay more attention on seaweed quality and trade cooperation with importer and other producers.

scholarly journals Pengaruh Inflasi dan Pertumbuhan Ekonomi Terhadap Nilai Tukar Rupiah dalam Jangka Pendek dan Jangka Panjang Tahun 2010-2018

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Nur Afriyanti ◽  
Luhur Prasetiyo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Exchange Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
The Exchange Rate

Artikel ini bertujuan untuk mengetahui pengaruh inflasi dan pertumbuhan ekonomi terhadap nilai tukar Rupiah, baik jangka panjang maupun jangka pendek. Perubahan nilai tukar Rupiah terhadap mata uang Dollar Amerika Serikat dipengaruhi oleh banyak faktor. Di antara faktor yang mempengaruhi nilai tukar adalah kenaikan harga umum (inflasi) dan pertumbuhan ekonomi. Penelitian ini menggunakan metode analisis data Error Correction Model (ECM) dan teknik pemilihan sampel menggunakan sampel jenuh dari populasi yang berjumlah 36. Sampel dalam penelitian ini yaitu data time series/triwulan inflasi, pertumbuhan ekonomi dan nilai tukar dengan periode pengamatan selama 9 tahun yaitu tahun 2010-2018. Hasil penelitian menunjukkan bahwa dalam jangka panjang nilai tukar dipengaruhi oleh inflasi dan pertumbuhan ekonomi. Sedangkan dalam jangka pendek nilai tukar tidak dipengaruhi oleh variabel inflasi dan pertumbuhan ekonomi. Secara bersama-sama variabel inflasi dan pertumbuhan ekonomi berpengaruh signifikan terhadap variabel nilai tukar.The purpose of this research is to determine the effect of inflation dan economic growth on Rupiah exchange rate, both long-term and short-term. The movement of Rupiah exchange rate to US Dollar is influenced by many factors. Among the factors affecting the exchange rate are general price increases (inflation) and economic growth. This research uses Error Correction Model (ECM) for data analysis. The population in this study amounted to 36. The sample selection technique is saturated sample. The sample in this research is time series data on quarterly inflation, economic growth and the exchange rate in the period of 9 years, namely 2010-2018. The results show that in the long-term the exchange rate is influenced by inflation and economic growth. Whereas in the short-term the exchange rate is not influenced by inflation and economic growth variables. Furthermore, inflation and economic growth variables have a significant effect on the exchange rate variable.

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

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