Results 11 to 20 of about 9,358 (260)
Multivariate out-of-sample tests for Granger causality [PDF]
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Sarah Gelper, Christophe Croux
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Meta-Granger Causality Testing [PDF]
Understanding the (causal) mechanisms at work is important for formulating evidence-based policy. But evidence from observational studies is often inconclusive with many studies finding conflicting results. In small to moderately sized samples, the outcome of Granger causality testing heavily depends on the lag length chosen for the underlying vector ...
Stephan B. Bruns, David I. Stern
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Testing for Granger Causality in Panel Data [PDF]
With the development of large and long panel databases, the theory surrounding panel causality evolves quickly, and empirical researchers might find it difficult to run the most recent techniques developed in the literature. In this article, we present the community-contributed command xtgcause, which implements a procedure proposed by Dumitrescu and ...
Lopez, Luciano, Weber, Sylvain
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Validity of Time Reversal for Testing Granger Causality [PDF]
Inferring causal interactions from observed data is a challenging problem, especially in the presence of measurement noise. To alleviate the problem of spurious causality, Haufe et al. (2013) proposed to contrast measures of information flow obtained on the original data against the same measures obtained on time-reversed data.
Irene Winkler +4 more
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Testing subspace Granger causality [PDF]
Abstract The methodology of multivariate Granger non-causality testing at various horizons is extended to allow for inference on its directionality. Empirical manifestations of these subspaces are presented and useful interpretations for them are provided.
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This paper examines the impact of COVID-19 cases and deaths on selected financial indicators in Turkey between March 2020 and July 2020. This study analyzes the causal relationship between COVID-19 and liquidity and risk perception in Turkey.
Sabri Burak Arzova +1 more
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Testing for Granger non-causality in heterogeneous panels [PDF]
Forthcoming
Dumitrescu, Elena, Hurlin, Christophe
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The impact of energy consumption, FDI, and economic growth on CO2 emissions in Central Asia. Empirical evidence from panel ARDL [PDF]
Utilizing Panel ARDL and a panel Granger causality test, this paper examines the influence of GDP, energy usage, FDI, and trade openness on carbon dioxide (CO2) emissions in three specific Central Asian countries: Kazakhstan, Kyrgyz Republic, and ...
Sobirov Yuldoshboy +4 more
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Analysis Of Causality Exchange Rate and Export Value In Indonesia (Empirical Study in 1997-2020)
This study aims to analyze the causal relationship between the exchange rate and export value in Indonesia using time series data from 1997 to 2020. The analytical method that will be used in this research is the Granger Causality Test approach.
R. Roosaleh Laksono.T.Y. +5 more
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A Pitfall in Using the Characterization of Granger Non-Causality in Vector Autoregressive Models
It is well known that in a vector autoregressive (VAR) model Granger non-causality is characterized by a set of restrictions on the VAR coefficients. This characterization has been derived under the assumption of non-singularity of the covariance matrix ...
Umberto Triacca
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