Vector autoregressive-based Granger causality test in the presence of instabilities
Barbara Rossi and
Yiru Wang
Stata Journal, 2019, vol. 19, issue 4, 883-899
Abstract:
In this article, we review Granger causality tests that are robust to the presence of instabilities in a vector autoregressive framework. We also introduce the gcrobustvar command, which illustrates the procedure in Stata. In the presence of instabilities, the Granger causality robust test is more powerful than the traditional Granger causality test.
Keywords: gcrobustvar; Granger causality; vector autoregressive; VAR; instability; structural breaks; local projections (search for similar items in EconPapers)
Date: 2019
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-4/st0581/
References: Add references at CitEc
Citations: View citations in EconPapers (29)
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0581 link to article purchase
Related works:
Working Paper: Vector autoregressive-based Granger causality test in the presence of instabilities (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:19:y:2019:i:4:p:883-899
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
DOI: 10.1177/1536867X19893631
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().