In this paper, we used the methods of cointegration and granger causality estimation to test the relationship between China’s coal consumption and real GDP based on the data of 1978~2010, the results show that the real GDP and coal consumption have no granger causality, and do not have a long run cointegration, which is different from the existing discovery. Because of following reasons, first ...

This paper examines types of cointegration for bivariate seasonal time series, namely seasonal cointegration, periodic cointegration and nonperiodic cointegration. The admissable form(s) for any cointegration is shown to depend crucially on the univariate unit root properties of the series. When both processes are (conventionally) integrated, only nonperiodic cointegration is possible. Periodic...

This paper examines stationarity and cointegration of health expenditure and GDP, for a sample of 21 OECD countries using data for the period 1960-1997, by applying a test battery that allows robust inference to be made on the stationarity and cointegration issue. Trend stationarity and no-cointegration are tested using new country-by-country and panel tests, not previously applied in this sett...

Profit rate stickiness means the asymmetric behavior of banking profit rate with respect to positive and negative shocks. Scrutinizing this behavior would suggest a new perspective on policy tools and banking supervision. In this regard, this paper applies hidden panel cointegration, proposed by Hatemi-J (2018), to study profit rate and bank specific characteristics nexus for all banks listed o...

In this paper, we study a smooth-transition type of nonlinear cointegration among a dynamic system, in which the proposed definition nests Engle and Granger (1987)’s linear cointegration. Based on the Smooth Transition Autoregressive (STAR) models, a triangular representation for the nonlinearly cointegrated system is introduced. Furthermore, two tests for nonlinear cointegration are derived in...

Cointegration is an important topic for timeseries, and describes a relationship between two series in which a linear combination is stationary. Classically, the test for cointegration is based on a two stage process in which first the linear relation between the series is estimated by Ordinary Least Squares. Subsequently a unit root test is performed on the residuals. A well-known deficiency o...