Showing 1 - 7 of 7
nonstationarity and cointegration in the data and various long-run model specifications are studied in detail. Bayesian empirical …
Persistent link: https://www.econbiz.de/10005634716
number of variables in the system and r is the dimension of the cointegration space. These results help to explain simulation …
Persistent link: https://www.econbiz.de/10005634731
This paper develops a multivariate regression theory for integrated processes which simplifies and extends much earlier work. Our framework allows for both stochastic and certain deterministic regressors, vector autoregressions and regressors with drift. The main focus of the paper is...
Persistent link: https://www.econbiz.de/10005762497
The concept of a near-integrated vector random process is introduced. Such processes help us to work towards a general asymptotic theory of regression for multiple time series in which some series may be integrated processes of the ARIMA type, others may be stable ARMA processes with near unit...
Persistent link: https://www.econbiz.de/10005762702
unit roots in the system, and for integrated series the presence of cointegration and the rank of the cointegration space …
Persistent link: https://www.econbiz.de/10005249158
This paper reports quarterly ex ante forecasts of macroeconomic activity for the U.S.A., Japan and Australia for the period 1995-1997. The forecasts are based on automated time series models of vector autoregressions (VAR's), reduced rank regressions (RRR's), error correction models (ECM's) and...
Persistent link: https://www.econbiz.de/10005634722
example, when there is some cointegration in the system, FM-VAR estimation has a limit theory that is normal for all of the … vectors). Moreover, optimal estimation of the cointegration space is attained in FM-VAR regression without prior knowledge of … the number of unit roots in the system, without pretesting to determine the dimension of the cointegration space and …
Persistent link: https://www.econbiz.de/10005634746