scholarly journals The Impact of Final Demand arld Prices on Indonesia's Total - Import: Cointegration and Error Correction Model Analysis

2009 ◽  
Vol 9 (2) ◽  
pp. 109-125
Author(s):  
Isbandriyati Mutmainah
Keyword(s):  
Error Correction ◽  
Private Investment ◽  
Error Correction Model ◽  
Final Demand ◽  
Cointegration Test ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
The Impact

This research is aimed to investigate the influence of final demand and price to Indonesian agregate imports in the long-run and short-run. We use analytical technique cointegration test Iohansen procedures for the long-term influence, and Error Correction Model to estimate the short-term influence, by using quarterly time series data period from_1980 to 2004. From the result of cointegration test and Error Correction Model we found that in the long-term, all of final demand components and price except private investment are important I in determining Indonesian agregate imports. The government expenditure variable has the highest influence, while in the short-term all of independent variables except private consumption are important in determining Indonesian agregate imports and foreign price variable has the highest influence.

scholarly journals Non Cash Payment and Demand for Real Money in Indonesia

2019 ◽  
Vol 22 (1) ◽  
Author(s):  
Wasiaturrahma Wasiaturrahma ◽  
Yuliana Tri Wahyuningtyas ◽  
Shochrul Rohmatul Ajija
Keyword(s):  
Error Correction ◽  
Credit Card ◽  
Error Correction Model ◽  
Short Term ◽  
Correction Model ◽  
Real Money ◽  
On Demand ◽  
Cash Payment ◽  
The Impact

The study analyses the impact of non-cash payment on demand for real money in Indonesia from 2010 to 2015. Utilizing the Error Correction Model (ECM), the results reveal that the use of both debit and credit card influence the demand for real money in the long term. Moreover, debit card also significantly affects the demand for real money in the short term, while the use of credit card does not have the implication.

scholarly journals Analisis Pengaruh Transaksi Uang Elektronik terhadap Tingkat Inflasi di Indonesia

2021 ◽  
Vol 10 (1) ◽  
pp. 56-63
Author(s):  
Ruth Damayanti
Keyword(s):  
Error Correction ◽  
Money Supply ◽  
Inflation Rate ◽  
Error Correction Model ◽  
Advanced Technology ◽  
Short Term ◽  
Electronic Money ◽  
Correction Model ◽  
The Impact

Increasingly advanced technology encourages people to make transactions using electronic money (e-money). Nowadays, more Indonesian people use electronic money in their dealings, which is proven by the increasing volume of electronic money transactions from year to year. Electronic cash is chosed because it is more practical in making transactions with traders. The rising use of electronic money can affect the money supply, which can affect the inflation rate. Several studies have stated the effect of electronic money on inflation. This study aims to determine the impact of the variable volume and nominal value of electronic money transactions (e-money) on the inflation rate in Indonesia from January 2016 to December 2020. The data used in this study are secondary data with the type of monthly time series taken from Bank Indonesia, Kementerian Perdagangan, and BPS (Badan Pusat Statistik). The analysis technique used is the ECM (Error Correction Model). The Error Correction Model in this study aims to identify long-term and short-term relationships that occur because of the cointegration between research variables and the relationship between variables that are not stationary. This study indicates that in the long term, the variables volume of e-money transactions and money supply (M2) have a significant effect on the inflation variable. In contrast, other macroeconomic variables (BI rate and nominal value of e-money transactions) has no significant impact. Meanwhile, the short-term regression model shows no variables that have a substantial effect on the inflation variable.

scholarly journals Credit Risk Determinants in Indonesia

2018 ◽  
Vol 1 (2) ◽  
pp. 106-115
Author(s):  
Amin Yusuf Efendi
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Credit Risk ◽  
Error Correction ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Spurious Regression

Credit is the main business of the banking industry, therefore, in running the business, the bank is always overshadowed by the credit risk the which can be determined by the ratio of non-performing loans (NPL). The development of technology, finance digital brings the outside could impact on the financial industry both positive and negative. The purpose of this study was to analyze the interest rate, inflation, exchange rates, gross domestic product (GDP), a dummy finance digitalization policies in the long term and the short term of the non-performing loan (NPL) of conventional commercial banks in Indonesia The analytical method used in this research is-EG Error Correction Model (ECM), The Data used in this research is secondary quarterly time series data from the 2008 quarter 1-2017 4. The time series of data are not stationar Often that can cause spurious regression results, the exact models used is-EG Error Correction Model (ECM), This models may explain the behavior of short-term and long-term. The results Showed in the short-term variable interest rates significanly to non-performing loans, while in the long-term variable interest rate, exchange rate, and GDP Significantly, non-performing loans. Kredit merupakan bisnis utama dari industri perbankan, oleh karena itu dalam menjalankan bisnisnya, bank selalu dibayangi oleh risiko kredit yang dapat diketahui melalui rasio non-performing loans (NPL). Perkembangan teknologi, menghadirkan digital finance yang membawa dampak luar bisa terhadap industri keuangan baik positif dan negatif. Tujuan dari penelitian ini adalah untuk menganalisis suku bunga, inflasi, kurs, produk domestik bruto (PDB) dummy kebijakan digitalisasi keuangan dalam jangka panjang dan jangka pendek terhadap non-performing loan (NPL) bank umum konvensional di Indonesia  Metode analisis yang digunakan dalam penelitian ini adalah Error Correction Model-EG (ECM). Data yang digunakan dalam penelitian ini adalah data sekunder runtut waktu kuartalan dari 2008 kuartal 1 – 2017 kuartal 4. Data runtun waktu sering tidak stationar sehingga bisa menyebabkan hasil regresi palsu (spurious regression), Model yang tepat digunakan adalah Error Correction Model-EG (ECM), model ini dapat menjelaskan perilaku jangka pendek dan jangka panjang. Hasil penelitian menunjukkan dalam jangka pendek variabel suku bunga berpengaruh secara signifikan terhadap non performing loan, sedangkan dalam jangka panjang variabel suku bunga, kurs, dan PDB berpengaruh secara signifikan terhadap non perfoming loan.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO, SUKU BUNGA RIIL, DAN PARTISIPASI ANGKATAN KERJA TERHADAP INVESTASI SWASTA DI INDONESIA (Pendekatan Error Correction Model)

2017 ◽  
Vol 3 (1) ◽  
pp. 1-16
Author(s):  
Dedy Syahputra ◽  
Abubakar Hamzah ◽  
Muhammad Nasir
Keyword(s):  
Time Series ◽  
Interest Rates ◽  
Error Correction ◽  
Labor Force ◽  
Private Investment ◽  
Error Correction Model ◽  
Short Term ◽  
Real Interest Rates ◽  
Correction Model

This study aimed to analyze the influence of the GDP, the real interest rate, the labor force, the private investment in Indonesia. The data used in this research is time-series data from 2000 to 2014. The research model uses an error correction model (ECM). The results showed in the long term, GDP, labor force and real interest rates have a statistically significant relationship good and theory with a confidence level of 95 percent. In the long-term estimate found that the labor force will greatly affect private investment and the estimated short-term real interest rates affect the amount of investment that will go to Indonesia. In coefficient explained, the labor force has a strong influence and advice foreign investment into the country. For short-term model estimation results indicate GDP and real interest rates significantly affect the labor force in private investment but no significant effect on private investment. However, both long term and short term, variable real interest rates still the basic reason for investing. In result of cointegration explain that the variable GDP, real interest rates, and the laborforce has a cointegration relation to investment in the long term. The government needs to increase investment and promote the economy and set the interest rates are low. Penelitian ini bertujuan menganalisis pengaruh PDB, tingkat bunga riil, angkatan kerja, terhadap investasi swasta di Indonesia. Data yang digunakan dalam penelitian ini adalah data time-series tahun 2000 hingga tahun 2014. Model penelitian ini menggunakan Error Corection Model (ECM). Hasil menunjukkan dalam jangka panjang, PDB, angkatan kerja dan suku bunga riil memiliki hubungan signifikan baik statistik dan teori dengan tingkat kepercayaan 95 persen. Pada estimasi jangka panjang ditemukan bahwa angkatan kerja akan sangat mempengaruhi investasi swasta dan estimasi jangka pendek, tingkat suku bunga riil mempengaruhi besarnya investasi yang akan masuk ke Indonesia. Secara koefisien menjelaskan, angkatan kerja memiliki pengaruh yang cukup kuat dan memberi masukan investasi asing ke dalam negeri. Untuk hasil estimasi model jangka pendek menunjukkan PDB dan tingkat bunga riil berpengaruh secara signifikan terhadap investasi swasta tetapi angkatan kerja tidak berpengaruh signifikan terhadap investasi swasta. Namun demikian, baik jangka panjang maupun jangka pendek, variabel tingkat suku bunga riil masih menjadi alasan dasar untuk berinvestasi. Dalam hasil kointegrasi menjelaskan bahwa variabel PDB, suku bunga riil, dan angkatan kerja memiliki hubungan kointegrasi terhadap investasi dalam jangka panjang. Pemerintah perlu meningkatkan investasi dan memajukan perekonomian serta mengatur suku bunga yang rendah.

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 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 Model Koreksi Kesalahan pada Data Runtun Waktu Indeks Harga Konsumen Kota-kota di Papua

d'CARTESIAN ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 81
Author(s):  
Mitha Febby R. Donggori ◽  
Adi Setiawan ◽  
Hanna Arini Parhusip
Keyword(s):  
Error Correction ◽  
Price Index ◽  
Bootstrap Method ◽  
Consumer Price Index ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
The Bootstrap Method

Abstract The Consumer Price Index is used as a measure of inflation. Consumer Price Index data is time series data are often not stationary, causing decision-making related to the data becomes invalid. Consumer Price Index has a different rate of change in each region, as well as for the city of Jayapura, Sorong and Manokwari in Papua. In this paper, Error Correction Model is used to correct short-term imbalances and establish a long term relationship models Consumer Price Index cities - cities in Papua. We use time period : January 2009 to May 2013. To test stationarity  of the data, we use Phillips - Perron unit root test. Engle - Granger cointegration test is performed to determine whether there is a long-term relationship among cities in Papua. Furthermore, the model established by using the Error Correction Method by Domowitz - Elbadawi to correct short- term imbalances and establish long-term relationships model. The obtained Error Correction Models were compared to the results obtained with the bootstrap method . . Keywords : consumer price index, stationarity test, co integration test, error correction model, the bootstrap method Abstrak Indeks Harga Konsumen digunakan sebagai tolok ukur inflasi. Data Indeks Harga Konsumen merupakan data runtun waktu yang seringkali tidak stasioner sehingga menyebabkan pengambilan keputusan yang berkaitan dengan data menjadi tidak valid. Indeks Harga Konsumen memiliki tingkat perubahan yang berbeda di setiap daerah, begitu juga untuk kota Jayapura, Sorong dan Manokwari di Papua. Model koreksi kesalahan digunakan untuk mengoreksi ketidakseimbangan jangka pendek dan membentuk model hubungan jangka panjang Indeks Harga Konsumen kota – kota di Papua pada makalah ini. Periode waktu yang diamati adalah bulan Januari 2009 sampai dengan bulan Mei 2013. Uji stasioneritas data dengan uji akar unit Phillips-Perron, uji kointegrasi Engle-Granger yang dilakukan untuk mengetahui ada tidaknya hubungan jangka panjang di antara kota – kota tersebut. Lebih lanjut, dibentuk model koreksi kesalahan dengan metode Domowitz-Elbadawi untuk mengoreksi ketidakseimbangan jangka pendek dan membentuk model hubungan jangka panjang. Model koreksi kesalahan yang diperoleh dibandingkan dengan hasil yang diperoleh dengan metode bootstrap.   Kata kunci: indeks harga konsumen, uji stasioneritas, uji kointegrasi, model koreksi kesalahan, metode bootstrap

scholarly journals The Relationship between Tax Revenue and Economic Growth in Nepal: A Co-integration Approach

2018 ◽  
Vol 11 (1) ◽  
pp. 28-36
Author(s):  
Gautam Maharjan
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Unit Root ◽  
Unit Root Test ◽  
Error Correction Model ◽  
Series Data ◽  
Tax Revenue ◽  
Correction Model ◽  
The Impact ◽  
The Relationship

The main objective of this paper is to examine the relationship between tax revenue and economic growth in Nepal. The 43 years' annual time series data from 1974/75 to 2016/17 of GDP, tax revenue and nontax revenue have been used to test the causal relationship of the variables. A unit root test, Engle-Granger’s co-integration and Error Correction Model have been applied for the data analysis. The variables have been found stationary after first differencing I(1) when Augmented Dickey-Fuller unit root test is employed. From Engel-Granger test, it has been found that the variables are co-integrated. The short-term coefficients are not significant, however error correction term (ECT) is significant and contains a negative sign in the error correction model (ECM). It validates the ECM model. The ECT has shown that the annual speed of adjustment from disequilibrium to equilibrium is 34.3 percent. So far as the relationship is concerned, there is a long run relationship between tax revenue and economic growth in Nepal controlling the non-tax revenue. The impact of tax revenue on economic growth could be a good impetus for the policy maker and planner to increase the collection of revenue for the country.

scholarly journals ANALISIS HARGA SAHAM INDEX KOMPAS 100 DENGAN PENDEKATAN ERROR CORRECTION MODEL

2021 ◽  
Vol 4 (1) ◽  
pp. 406-414
Author(s):  
Amir Hamzah
Keyword(s):  
Error Correction ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Statements ◽  
Error Correction Model ◽  
Short Term ◽  
Correction Model ◽  
Positive Effect

The purpose of this research is to analyze the short term and long term relationship between ROI, EPS, PER ,inflation, SBI, exchange rate,and GDP on Stock Price. The data in this research is company financial statements which included Compas 100 Index on the Indonesia Stock Exchange. statistical analysis in this research used stasionarity test, The Classical Assumptions Test, Cointegration Test, Error Correction Model Test. This research found that partially ROI, EPS, PER variables a positive effect on stock prices in the short term and long term, KURS and SBI a positive effect on stock prices in the short term, but there is no effect in the long term, inflation and GDP do not affect the stock price both in the short term and long term. Simultaneously affected the stock prices significantly affect on stock price both in the short term and long term.

scholarly journals Revisiting the effects of relevant factors on Pakistan's agricultural products export

2020 ◽  
Vol 66 (No. 12) ◽  
pp. 527-541
Author(s):  
Zaid Ashiq Khan ◽  
Mansoor Ahmed Koondhar ◽  
Noshaba Aziz ◽  
Uzair Ali ◽  
Liu Tianjun
Keyword(s):  
Error Correction ◽  
National Economy ◽  
Crop Production ◽  
Error Correction Model ◽  
Agricultural Products ◽  
Short Term ◽  
Correction Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

Pakistan is an agriculture-based country, so the agricultural sector is known as the backbone of the national economy. Considering the national economy and the agricultural industry, it is necessary to focus on earnings through agricultural products export to improve the livelihood of local farmers. Therefore, the current study aimed to analyse the short-term and long-term factors affecting agricultural products export. The annual time series of 1976–2016 were collected from World Bank indicators, the Food and Agriculture Organization, and the Statistical Bureau of Pakistan. An autoregressive distributed lag, along with a vector error correction model, was employed. A cointegration test showed long-term associations between the selected variables. While the autoregressive distributed lag model confirmed the short-term correlation between area sown and crop production towards agricultural products export, there is no long-term relationship between the selected variables. In addition, the bidirectional correlation between employment in agriculture and agricultural products export was confirmed by the vector error correction model. Therefore, it is essential to increase agricultural production with the available natural resources to increase foreign earnings.

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