This paper analyzes the impulse response function of vector autoregression models for variables that are linearly transformed. The impulse response is equal to the linear transformation of the original impulse response if and only if the shock is equal to the linear transformation of the original shock. In particular, we consider shocks in one error term only, generalized shocks, structural shocks identified by short-run recursive restrictions and structural shocks identified by long-run recursive restrictions. A vector autoregression model with expected inflation, the overnight rate and a long term ex-ante real interest rate that replaces the corresponding long term nominal interest rate, illustrates our results.status: publishe
Impulse response functions (IRFs) are often used to analyze the dynamic behavior of a vector autoreg...
1. 1 Objective of the Study Vector autoregressive (VAR) models have become one of the dominant resea...
Shock identification in Vector Autoregressive (VAR) models has often put researchers in a position f...
This paper analyzes the impulse response function of vector autoregression models for variables that...
This paper analyzes impulse response functions of vector autoregression models for variables that ar...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
Abstract. Vector autoregressive (VAR) models are capable of capturing the dynamic struc-ture of many...
Linear Vector Autoregression (VAR) models provide a useful starting point for analysing multivariate...
Vector autoregression (VAR) models have become widely used in applied economic research since Sims (...
In this paper we introduce identifying restrictions into a Markov-switching vector autoregression mo...
This paper examines the issue of how to identify the shocks in a cointegrated VAR when the following...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
ABSTRACT. The dynamics of a linear (or linearized) dynamic stochastic economic model can be expresse...
Impulse response functions (IRFs) are often used to analyze the dynamic behavior of a vector autoreg...
1. 1 Objective of the Study Vector autoregressive (VAR) models have become one of the dominant resea...
Shock identification in Vector Autoregressive (VAR) models has often put researchers in a position f...
This paper analyzes the impulse response function of vector autoregression models for variables that...
This paper analyzes impulse response functions of vector autoregression models for variables that ar...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
Abstract. Vector autoregressive (VAR) models are capable of capturing the dynamic struc-ture of many...
Linear Vector Autoregression (VAR) models provide a useful starting point for analysing multivariate...
Vector autoregression (VAR) models have become widely used in applied economic research since Sims (...
In this paper we introduce identifying restrictions into a Markov-switching vector autoregression mo...
This paper examines the issue of how to identify the shocks in a cointegrated VAR when the following...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
ABSTRACT. The dynamics of a linear (or linearized) dynamic stochastic economic model can be expresse...
Impulse response functions (IRFs) are often used to analyze the dynamic behavior of a vector autoreg...
1. 1 Objective of the Study Vector autoregressive (VAR) models have become one of the dominant resea...
Shock identification in Vector Autoregressive (VAR) models has often put researchers in a position f...