The aim of this paper is that of giving a finer insight into the analytic foundations of vector autoregressive models (VAR) in comparison with classical econometric models. To target such a goal we establish a bridge between the techniques of structural and VAR model building in the backstage, and the econometric profiles of dynamic modelling on the forefront. The solutions engendered by both approaches, which unfold a common difference-equation ancestry, ask for a matrix polynomial inversion by either Taylor or Laurent expansions. The former case occurs in classical econometrics, where unit roots are ruled out, whereas the latter comes to the fore in time-series econometrics, with unit roots in the backstage and cointegration as an adde...
Vector autoregressive (VAR) models for stationary and integrated variables are reviewed. Model spec...
One of the most critical roles of macroeconometricians is to provide advice to policymakers by descr...
Abstract. Vector autoregressive (VAR) models are capable of capturing the dynamic struc-ture of many...
The aim of this paper is that of giving a finer insight into the analytic foundations of vector aut...
Multivariate simultaneous equations models were used extensively for macroeconometric analysis when ...
1. 1 Objective of the Study Vector autoregressive (VAR) models have become one of the dominant resea...
This paper attempts to clarify the connection between simple economic theory models and the approach...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
Vector autoregression (VAR) models have become widely used in applied economic research since Sims (...
Vector autoregression model VAR belongs to the most used multiple time series models mainly in field...
This text presents modern developments in time series analysis and focuses on their application to e...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
This working paper development the most recent topics in econometrics applied to the economics. Anal...
This paper pinpoints the role played by the core-nilpotent decomposition of the total effect matrix ...
This paper pinpoints the role played by the core-nilpotent decomposition of the total effect matrix ...
Vector autoregressive (VAR) models for stationary and integrated variables are reviewed. Model spec...
One of the most critical roles of macroeconometricians is to provide advice to policymakers by descr...
Abstract. Vector autoregressive (VAR) models are capable of capturing the dynamic struc-ture of many...
The aim of this paper is that of giving a finer insight into the analytic foundations of vector aut...
Multivariate simultaneous equations models were used extensively for macroeconometric analysis when ...
1. 1 Objective of the Study Vector autoregressive (VAR) models have become one of the dominant resea...
This paper attempts to clarify the connection between simple economic theory models and the approach...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
Vector autoregression (VAR) models have become widely used in applied economic research since Sims (...
Vector autoregression model VAR belongs to the most used multiple time series models mainly in field...
This text presents modern developments in time series analysis and focuses on their application to e...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
This working paper development the most recent topics in econometrics applied to the economics. Anal...
This paper pinpoints the role played by the core-nilpotent decomposition of the total effect matrix ...
This paper pinpoints the role played by the core-nilpotent decomposition of the total effect matrix ...
Vector autoregressive (VAR) models for stationary and integrated variables are reviewed. Model spec...
One of the most critical roles of macroeconometricians is to provide advice to policymakers by descr...
Abstract. Vector autoregressive (VAR) models are capable of capturing the dynamic struc-ture of many...