How much should we expect monetary integration to reduce differences among participating economies? Using data for the 50 U.S. states over 1929–1999, the paper finds that large differences across states persist in both business-cycle variability and correlations of state income with the U.S. as a whole. It is also shown that about a third of a state’s business-cycle volatility is explained by i...

Structural vector autoregression (SVAR) is often used as empirical instrument in order to examine business cycle fluctuations. Its popularity caused a comprehensive controversy in the literature. In this paper, we want to contribute to this discussion and introduce an alternative structural estimation method. Since we focus on the context of cointegration, our approach should be viewed as alter...

This study investigated the possible relationship between educational context and English Language Teaching (ELT) teachers’ corrective feedback preference. To this end, 42 Iranian EEFL teachers from some private language institutes and 39 Iranian EFL teachers from different schools in Shiraz, Iran participated in the study. The Questionnaire for Corrective Feedback Approaches (QCFAs) was ...

This paper studies testing for the presence of smooth transition nonlinearity in adjustment parameters of the vector error correction model. We specify the generalized model with multiple cointegrating vectors and di¤erent transition functions across equations. Given that the nonlinear model is highly complex, this paper proposes an optimal LM test based only on estimation of the linear model. ...

This paper investigates the relationship between natural gas consumption, price, crude oil Foreign direct Investment and per capita GDP in Nigeria to ascertain their causal effects dependencies by using time series data from 1990 2020 an econometric platform Vector Error Correction model (VECM). The result of VECM estimate, Granger causality test Variance decomposition all suggest presence a st...

This paper introduces cointegrating mixed data sampling (CoMiDaS) regressions, generalizing nonlinear MiDaS regressions in the extant literature. Under a linear mixed-frequency data-generating process, MiDaS regressions provide a parsimoniously parameterized nonlinear alternative when the linear forecasting model is over-parameterized and may be infeasible. In spite of potential correlation of ...

Frequency-dependent correlations, such as the spectral function and the dynamical structure factor, help illustrate condensed matter experiments. Within the density matrix renormalization group (DMRG) framework, an accurate method for calculating spectral functions directly in frequency is the correction-vector method. The correction vector can be computed by solving a linear equation or by min...

Automatic diagnosis of coronary heart disease helps the doctor to support in decision making a diagnosis. Coronary heart disease have some types or levels. Referring to the UCI Repository dataset, it divided into 4 types or levels that are labeled numbers 1-4 (low, medium, high and serious). The diagnosis models can be analyzed with multiclass classification approach. One of multiclass classifi...

This paper examines the e↵ects of liquidity on the demand for imports of non-durable consumers’ goods in Trinidad and Tobago. A parsimonious vector equilibrium correction model (VEqCM) is used to test the hypotheses that liquidity has both longand short-run e↵ects. The multivariate cointegration approach of Johansen and Juselius (1990) is used to determine long-run relations and general to spec...