This paper analyzes impulse response functions of vector autoregression models for variables that are linearly transformed. These impulse responses are equal to the linear transformation of the original impulse responses only if the shocks are equal to the linear transformation of the original shocks. Sufficient conditions are derived both for shocks in one error term only, orthogonalized shocks and generalized shocks. A vector autoregression model with ination, the overnight target rate and a real interest rate that replaces the corresponding nominal interest rate, illustrates the applicability of our results for the empirical researcher.nrpages: 19status: publishe
This paper compares standard and local projection techniques in the production of impulse response f...
This article proposes an alternative methodology to estimate impulse response functions without impo...
This paper investigates the causal relations and dynamic interactions among the different sizes of s...
This paper analyzes impulse response functions of vector autoregression models for variables that ar...
This paper analyzes the impulse response function of vector autoregression models for variables that...
This paper introduces methods for computing impulse response functions that do not require specifica...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
Linear time series models are the workhorse of structural macroeconometric analysis. However, econom...
This note discusses a pitfall of using the generalized impulse response function (GIRF) in vector au...
In this paper we introduce identifying restrictions into a Markov-switching vector autoregression mo...
n Abstract: This note discusses a pitfall of using the generalized impulse response func-tion (GIRF)...
Impulse responses can be estimated to analyze the effects of a shock to a variable over time. Typica...
Linear Vector Autoregression (VAR) models provide a useful starting point for analysing multivariate...
Macro shocks are often composites, yet overlooked in the impulse response analysis. When an instrume...
This paper proposes a simple vector autoregressions (VAR) model with (real) output and exchange rate...
This paper compares standard and local projection techniques in the production of impulse response f...
This article proposes an alternative methodology to estimate impulse response functions without impo...
This paper investigates the causal relations and dynamic interactions among the different sizes of s...
This paper analyzes impulse response functions of vector autoregression models for variables that ar...
This paper analyzes the impulse response function of vector autoregression models for variables that...
This paper introduces methods for computing impulse response functions that do not require specifica...
The dynamics of a linear (or linearized) dynamic stochastic economic model can be expressed in terms...
Linear time series models are the workhorse of structural macroeconometric analysis. However, econom...
This note discusses a pitfall of using the generalized impulse response function (GIRF) in vector au...
In this paper we introduce identifying restrictions into a Markov-switching vector autoregression mo...
n Abstract: This note discusses a pitfall of using the generalized impulse response func-tion (GIRF)...
Impulse responses can be estimated to analyze the effects of a shock to a variable over time. Typica...
Linear Vector Autoregression (VAR) models provide a useful starting point for analysing multivariate...
Macro shocks are often composites, yet overlooked in the impulse response analysis. When an instrume...
This paper proposes a simple vector autoregressions (VAR) model with (real) output and exchange rate...
This paper compares standard and local projection techniques in the production of impulse response f...
This article proposes an alternative methodology to estimate impulse response functions without impo...
This paper investigates the causal relations and dynamic interactions among the different sizes of s...