Penelitian ini bertujuan untuk mengetahui respon variabel perdagangan internasional komoditas migas dan nonmigas terhadap inflasi di Indonesia pada periode bulanan, dari Januari 2015 hingga September 2021. sangat menarik dikaji dengan menggunakan model penelitian dinamis. estimasi peramalan yaitu VECM. Metode analisis VECM digunakan hubungan ekspor impor jangka pendek panjang inflasi. Hasil men...

The study investigates the impacts of COVID-19 pandemic on global oil price, food price index, meat, and sugar commodity index using vector error correction (VECM) model covering sample period 1st April 2020 to 31st August 2021. Data were collected mainly from WHO, FAO, Macro Trend Websites. result VECM indicates a strong cointegration relationship among variables. In short run, meat are negati...

East and Southeast Asia gain tremendous economic political advantages in terms of geopolitics (GPE). However, the impact that emerged GPE was further exacerbated by emergence covid pandemic, "one belt, one road" global geopolitical recession, which caused figures to soar several ASEAN countries is challenges related development. This study used Vector Error Correction Model (VECM) based on de j...

Bir ekonominin durumu hakkında bilgi sahibi olabilmek ve ekonomi politikalarına yön verebilmek için oluşturulan göstergelerden birisi tüketici güven endeksidir. Borsa endeksi döviz kuru endeksini etkileyen etkilenen yüksek volatiliteye sahip iki önemli değişkendir. Bu amaçla, çalışmada OECD ülkelerinde endeksinde borsa etkisi araştırılmak istenmiştir. OECD'nin 37 üye ülkenin tamamında aynı düze...

The income of rubber farmers from the sale processing material received by who apply an organized and unorganized marketing system is different. prices are higher because they participate in Processing Marketing Unit for Rubber Material (PMU) carry out auction sales partnerships. very different that farmers. determination research location was carried purposively. Farmer price data taken Banyua...

The paper aims at vertical price transmission of the agri-food market in Czech Republic. It is focused on analysis pork meat by investigating short-run and long-run relationships within product speed establishing equilibrium relationship. For this purpose, there employed specially VECM (Vector Error Correction Model), impulse-response analysis, decomposition variance VECM, which show system’s r...

The objective of this study is to identify the impact trade liberalization on economic growth in Japan. Annual data are utilized from 1985 2016 via Autoregressive Distributed Lag Model (ARDL) Cointegration test and Vector Error Correction (VECM) based Granger causality. findings unit root tests revealed that all variables mixed results whereby they integrated at I(0) I(1) could proceed ARDL tes...

The European Union’s environmental goal by 2050 is to become the first climate-neutral continent in world. This means specific efforts for diversifying energy mix and investing low-carbon energy. Our study investigates nexus among carbon emissions, consumption mix, economic growth a modified framework that includes contribution of inward foreign direct investments international trade lowering a...

We consider structural vector error correction models (VECMs) in which permanent shocks are partially identified with a set of long-run restrictions, and fully identified with an additional set of short-run restrictions. An identification method with a combination of short-run and long-run restrictions has been studied in the vector autoregressive models literature, but not thoroughly applied t...

This paper uses a structural, large dimensional factor model to evaluate the role of ‘news’ shocks (shocks with a delayed effect on productivity) in generating the business cycle. We find that (i) existing small-scale VECM models are affected by ‘non-fundamentalness’ and therefore fail to recover the correct shock and impulse response functions; (ii) news shocks have a limited role in explainin...