Improved Tests for Granger Non-Causality in Panel Data
Jiaqi Xiao,
Arturas Juodis,
Yiannis Karavias and
Vasilis Sarafidis
MPRA Paper from University Library of Munich, Germany
Abstract:
This article introduces the xtgranger command in Stata, which implements the panel Granger non-causality test approach developed by Juodis, Karavias and Sarafidis (2021). This test offers superior size and power performance to existing tests, which stems from the use of a pooled estimator that has a faster √NT convergence rate. The test has two other useful properties; it can be used in multivariate systems and it has power against both homogeneous as well as heterogeneous alternatives.
Keywords: Panel data; Granger non-causality; Nickell bias; Heterogeneous panels; Fixed effects; Half-panel Jackknife; xtgranger. (search for similar items in EconPapers)
JEL-codes: C12 C23 C33 (search for similar items in EconPapers)
Date: 2021-04-14
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
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https://mpra.ub.uni-muenchen.de/107180/1/MPRA_paper_107180.pdf original version (application/pdf)
Related works:
Journal Article: Improved tests for Granger noncausality in panel data (2023) 
Working Paper: Improved tests for Granger noncausality in panel data (2022) 
Working Paper: Improved Tests for Granger Non-Causality in Panel Data (2022) 
Working Paper: Improved Tests for Granger Non-Causality in Panel Data (2021) 
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:107180
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