An analysis proposes and presents a testable sufficient conditions for testing the exogeneity of economic time series using Sims\u27 (1980a) innovation accounting within an unconstrained vector autoregressive (VAR) model. It is demonstrated that if each explanatory variable of a model is sequentially placed in the last position of the ordering of variables during orthogonalization, then strict exogeneity of the dependable variable with respect to each explanatory variable can be tested without any a priori restrictions. The test is not biased by conditional correlations of other variables included in the model. The empirical demonstration within the VAR framework is based on a set of variables obtained by solving a macroeconomic model
VAR and structural econometric models have complementary roles in the modelling of macroeconomic tim...
In order to employ vector autoregressions (VAR) for the analysis of causal relations between economi...
This text presents modern developments in time series analysis and focuses on their application to e...
An analysis proposes and presents a testable sufficient conditions for testing the exogeneity of eco...
Multivariate simultaneous equations models were used extensively for macroeconometric analysis when ...
We investigate the finite sample behaviour of the ordinary least squares (OLS) estimator in vector a...
It is shown that in the complete dynamic simultaneous equation model exogenous variables cause endog...
This working paper development the most recent topics in econometrics applied to the economics. Anal...
AbstractMultivariate autoregressive models with exogenous variables (VARX) are often used in econome...
We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour...
Vector autoregression model VAR belongs to the most used multiple time series models mainly in field...
A portmanteau and a maximum statistic are proposed to discern strictly exogenous from predetermined ...
This paper extends the result for non-causality and strong exogeneity of Pradel and Rault and Pradel...
Metode Vector Autoregressive with Exogenous Variable (VARX) adalah salah satu metode runtun waktu mu...
In spite of the importance of exogeneity in econometric modeling, an unambiguous definition does not...
VAR and structural econometric models have complementary roles in the modelling of macroeconomic tim...
In order to employ vector autoregressions (VAR) for the analysis of causal relations between economi...
This text presents modern developments in time series analysis and focuses on their application to e...
An analysis proposes and presents a testable sufficient conditions for testing the exogeneity of eco...
Multivariate simultaneous equations models were used extensively for macroeconometric analysis when ...
We investigate the finite sample behaviour of the ordinary least squares (OLS) estimator in vector a...
It is shown that in the complete dynamic simultaneous equation model exogenous variables cause endog...
This working paper development the most recent topics in econometrics applied to the economics. Anal...
AbstractMultivariate autoregressive models with exogenous variables (VARX) are often used in econome...
We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour...
Vector autoregression model VAR belongs to the most used multiple time series models mainly in field...
A portmanteau and a maximum statistic are proposed to discern strictly exogenous from predetermined ...
This paper extends the result for non-causality and strong exogeneity of Pradel and Rault and Pradel...
Metode Vector Autoregressive with Exogenous Variable (VARX) adalah salah satu metode runtun waktu mu...
In spite of the importance of exogeneity in econometric modeling, an unambiguous definition does not...
VAR and structural econometric models have complementary roles in the modelling of macroeconomic tim...
In order to employ vector autoregressions (VAR) for the analysis of causal relations between economi...
This text presents modern developments in time series analysis and focuses on their application to e...