scholarly journals ANALISIS PERILAKU INSTABILITAS, PERGERAKAN HARGA, EMPLOYMENT DAN INVESTASI DI DALAM SEKTOR PERTANIAN INDONESIA: Aplikasi Vector Error Correction Model

2007 ◽  
Vol 8 (1) ◽  
Author(s):  
Andi Irawan
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Output Price ◽  
Agriculture Sector ◽  
Vector Error ◽  
The Government

In a long run perspective, the aim of this research is to analyze the impact of the inflating-policy on the employment growth, and the agriculture investment. From a short run perspective, the aim covers (1) the identification of agriculture price instability on certain economic blocks, (2) the analysis of inflation behavior in the agriculture sector and its causality both to output price and input prices and the causality within the input prices.We apply the Vector Error Correction Model, Johansen Cointegration Test, and Granger Causality Test on a monthly series data from 1993:01 to 2002:12. The result shows the production and capital inagriculture sector are responsive to the output price change. This inflating the output price will effectively help to generate the output and a new investment in this sector. However, as the price shock can be a source of instability, the government should be careful to apply this price inflating policy. In addition, to solve the unemployment problem in agriculture sector, the government should apply the cost strategy, such as input price subsidy  policy.JEL: C32, C52, O13, Q11, Q18Keyword: Employment, Investasi, Agriculture,Johansen, Cointegration Vector Error Correction Model, Causality Test

scholarly journals ANALISIS PENGARUH INDEKS HARGA KONSUMEN, JUMLAH UANG BEREDAR (M1), KURS RUPIAH, DAN INDEKS S&P 500 TERHADAP INDEKS HARGA SAHAM GABUNGAN: STUDI EMPIRIS PADA BURSA EFEK INDONESIA

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Heriyanto Heriyanto ◽  
Ming Chen
Keyword(s):  
Error Correction ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Spurious Regression ◽  
Vector Error

Penelitian ini bertujuan untuk menguji hubungan keseimbangan jangka panjang antara variabel makroekonomi (yang diproksi dengan variabel indeks harga konsumen, jumlah uang beredar, kurs rupiah terhadap dollar, dan Indeks S&P 500) dengan indeks harga saham gabungan (IHSG). Data bulanan variabel makroekonomi dan IHSG selama periode Januari 2005 – Desember 2013 digunakan untuk pengujian hubungan keseimbangan jangka panjang. Data penelitian dikumpulkan dengan metode dokumentasi yang terdiri dari variabel indeks harga konsumen, jumlah uang beredar, kurs rupiah terhadap dollar, Indeks S&P 500, dan IHSG. Setelah data dikumpulkan, data selanjutnya akan dianalisis dengan menggunakan analisis regresi berganda. Analisis pengujian residual (dari model regresi berganda) dengan pendekatan Granger Residual Test digunakan untuk memastikan tidak terjadi spurious regression (regresi palsu). Selanjutnya, analisis data dengan pengujian Johannsen Cointegration Test digunakan untuk menguji keberadaan hubungan keseimbangan jangka panjang antara variabel makroekonomi dan IHSG. Tahap akhir analisis data dilakukan dengan pengujian vector error correction model (VECM) dan Granger Causality Test yang bertujuan untuk menguji kemungkinan adanya hubungan biderectional (dua arah) antara variabel makroekonomi dan IHSG. Hasil pengujian menggunakan analisis regresi berganda menunjukkan bahwa variabel kurs rupiah terhadap dollar dan Indeks S&P 500 berpengaruh signifikan terhadap pergerakan indeks harga saham gabungan, sedangkan variabel indeks harga konsumen dan jumlah uang beredar tidak berpengaruh signifikan. Hasil pengujian dengan menggunakan Granger Residual Test menunjukkan bahwa tidak terdapat spurious regression. Sementara itu, hasil pengujian dengan menggunakan Johannsen Cointegration Test menunjukkan bahwa terdapat hubungan keseimbangan jangka panjang antara variabel makroekonomi dan IHSG. Terkait dengan kemungkinan adanya hubungan biderectional antara variabel makroekonomi dan IHSG, hasil pengujian dengan menggunakan Vector Error Correction Model (VECM) dan Granger Causality Test menunjukkan bahwa hubungan antara variabel makroekonomi dan IHSG adalah hubungan satu arah. Kata Kunci: spurious regression, granger residual test, granger causality test, vector error correction model.

scholarly journals PENGARUH PERTUMBUHAN PDB DAN INFLASI TERHADAP PERTUMBUHAN PERBANKAN SYARIAH DI INDONESIA PERIODE TAHUN 2013-2015

2020 ◽  
Vol 6 (4) ◽  
pp. 763
Author(s):  
Amri Ahmadi ◽  
Sri Herianingrum
Keyword(s):  
Gross Domestic Product ◽  
Error Correction ◽  
Error Correction Model ◽  
Third Party ◽  
Islamic Banking ◽  
Vector Error Correction Model ◽  
Gdp Growth ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error

This research used a quantitative approach, and the aim of research was to find out the estimation, the magnitude of the GDP growth influenced, and the inflation on the growth of Islamic banking in Indonesia. In this research used the VECM (Vector Error Correction Model) with method focused by testing hypotheses.The results showed that GDP variable and Inflation variable was influenced significantly and positively on profits and DPK.Keyword: Gross Domestic Product, inflation, profit, third party funds, VECM.

scholarly journals Relationship between Trade Openness and Inflation: Empirical Evidences from Pakistan (1976-2010).

2011 ◽  
Vol 50 (4II) ◽  
pp. 853-876 ◽  
Author(s):  
Sehar Munir ◽  
Adiqa Kausar Kiani
Keyword(s):  
Error Correction ◽  
Trade Openness ◽  
Value Added ◽  
Error Correction Model ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Unit Root Testing ◽  
Vector Error

This study empirically verifies the existence of significant relationship between inflation and trade openness for Pakistan using annual time-series data for the period of 1976 to 2010. The basic objective of this study is to examine the Romer‘s hypothesis for Pakistan with real agriculture value added, real exchange rate, real gross domestic product, financial market openness, money and quasi money and used trade openness, import openness and export openness ratios separately as explanatory variables with inflation rate as dependent variables. For this purpose, we have used multivariate Johansen (1998) and Johansen and Juselius (1990) Maximum Likelihood Cointegration Approach and a Vector Error Correction Model (VECM) and the expected empirical findings shows that there is a significant positive long-run relationship between inflation and trade openness, which rejects the existence of Romer‘s hypothesis for Pakistan. JEL classification: B26, E31, P24, P44 Keywords: Trade Openness, Inflation, Unit Root Testing, Multivariate Cointegration Approach, Vector Error Correction Model, Pakistan

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