Tax compliance is an important indicator for the proper functioning of tax authority, influencing budget revenue level. In this study, a Vector Error Correction Model (VECM) analysis was developed to identify long-term relationships between in individual income taxation (taxpayer’s behavior), public trust politicians (trust authorities), and rule law (power using unbalanced panel data European ...

This study evaluated factors influencing export performance of ginger (Zinbiger officinale) in Nigeria. Specifically, the research was designed to achieve following objectives: examine short run equilibrium relationships between test variables; evaluate long and determine linear – interdependence ginger. The variables under considerations were quantity officinale), exchange rate, interest ratio...

Abstract Forecasting time series commonly shows non-stationer behavior and involves interrelated variables, so a method that able to obtain good forecasting result from non-stationary multivariate data is needed. Vector Error Correction Model (VECM) as one of model vector form restricted Autoregressive (VAR) for which has Cointegrity relationship. Prices agricultural commodities futures usually...

Beaudry and Portier (2006) propose an identification scheme to study the effects of news shocks about future productivity in Vector Error Correction Models (VECM). This comment shows that their methodology does not have a unique solution, when applied to their VECMs with more than two variables. The problem arises from the interplay of cointegration assumptions and long-run restrictions imposed...

In the face of pandemics like COVID-19 today, environmental issues such as green innovation become very important, because companies with high levels social and awareness indicate that are more resilient. This study aims to analyze impact on financial performance. uses Vector Error Correction Model (VECM) a data analysis method purposive sampling get 48 samples 336 observations. The results thi...

exchange rate volatility is one of the effective and ambiguous factors in agricultural product export. considering the importance of agricultural trade to avoid single-product economy, the main aim of this study was to investigate the impact of exchange rate volatility on the raisin export of iran during the years1959-2011. for this purpose, exchange rate volatility index was estimated using mo...

The paper examined how the growth of foreign grants and gross fixed capital formation impact GDP in Bangladesh. We studied relationships between those variables for a period spanning 1983 2017. Johansen cointegration test indicated that there is long-run relationship variables. Therefore, by employing vector error correction model (VECM), we found previous year’s divergence adjusted 69% followi...

The Composite Stock Price Index (CSPI) is one indicator to determine economic growth. formed by counting the stocks listed on Indonesia Exchange (IDX). Macroeconomic conditions can influence movement of CSPI in a country. indicators that affect include inflation, exchange rates, and interest rates represented BI rate. This study aimed how much selected macroeconomic had forecast. uses Vector Er...

We study a large-dimensional Dynamic Factor Model where: (i) the vector of factors F t is I ( 1 ) and driven by number shocks that smaller than dimension ; and, (ii) idiosyncratic components are either or 0 . Under (i), cointegrated can be modeled as Vector Error Correction (VECM). (ii), we provide consistent estimators, both cross-sectional size n time T go to infinity, for factors, loadings, ...

This study examines the relationship between renewable energy consumption, poverty alleviation and economic growth in South Africa. The paper applies Autoregressive distributed lag (ARDL) model to examine long run Vector Error Correction Model (VECM) determine direction of causality variables. Quarterly data is used for period 1990 – 2018. findings established a presence poverty, growth, financ...