The concept of Granger causality is an important tool in applied macroeconomics. Recursive econometric methods to analyze the temporal stability of Granger-causal relationships have recently been developed. These recursive procedures are used to re-evaluate the temporal stability of Granger causality between US industrial production and three macroeconomic variables. There appears to be significant evidence of temporal variation in the causal relationships. A clear pattern that emerges from the results is that the causal channels from all three variables to industrial production appear to be very strong in the latter part of the sample period.</p
Granger causality has long been a prominent method for inferring causal interactions between stochas...
A widely agreed upon definition of time series causality inference, established in the sem-inal 1969...
The application of Granger-causality tests to macroeconomic time series frequently necessitates filt...
The concept of Granger causality is an important tool in applied macroeconomics. Recursive econometr...
The concept of Granger causality is an important tool in applied macroeconomics. Recently, recursive...
Using time-series data from January 2006 to February 2021, this study analyzed the effect of macroec...
In this paper, we propose a new approach for characterizing and testing Granger-causality, which is ...
The causality proposed by Granger (1969) and several tests for it are often used in economic science...
The Granger causality concept is extensively used in econometrics and several works have applied the...
The causal link between monetary variables and output is one of the most studied issues in macroecon...
Abstract. Granger causality (GC) is one of the most popular measures to re-veal causality influence ...
Decomposing Granger causality over the spectrum allows us to disentangle potentially different Grang...
This paper presents comprehensive empirical evidence on the dynamics and causality within 30 US indu...
We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour...
In this paper we propose Granger (non-)causality tests based on a VAR model allowing for time-varyin...
Granger causality has long been a prominent method for inferring causal interactions between stochas...
A widely agreed upon definition of time series causality inference, established in the sem-inal 1969...
The application of Granger-causality tests to macroeconomic time series frequently necessitates filt...
The concept of Granger causality is an important tool in applied macroeconomics. Recursive econometr...
The concept of Granger causality is an important tool in applied macroeconomics. Recently, recursive...
Using time-series data from January 2006 to February 2021, this study analyzed the effect of macroec...
In this paper, we propose a new approach for characterizing and testing Granger-causality, which is ...
The causality proposed by Granger (1969) and several tests for it are often used in economic science...
The Granger causality concept is extensively used in econometrics and several works have applied the...
The causal link between monetary variables and output is one of the most studied issues in macroecon...
Abstract. Granger causality (GC) is one of the most popular measures to re-veal causality influence ...
Decomposing Granger causality over the spectrum allows us to disentangle potentially different Grang...
This paper presents comprehensive empirical evidence on the dynamics and causality within 30 US indu...
We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour...
In this paper we propose Granger (non-)causality tests based on a VAR model allowing for time-varyin...
Granger causality has long been a prominent method for inferring causal interactions between stochas...
A widely agreed upon definition of time series causality inference, established in the sem-inal 1969...
The application of Granger-causality tests to macroeconomic time series frequently necessitates filt...