Skip to main content
13 events
when toggle format what by license comment
Jan 21, 2022 at 11:37 answer added Nikosant timeline score: 2
Apr 7, 2021 at 9:33 answer added Long Vo timeline score: 3
Mar 18, 2019 at 6:37 answer added user241514 timeline score: 1
Jan 26, 2016 at 22:24 vote accept Sympa
Jan 26, 2016 at 21:25 answer added Regis A. Ely timeline score: 4
Dec 22, 2015 at 18:11 comment added Sympa Someone else already edited my question. I am not too sure how to edit it further. Given the issue, it is reasonably well described. The issue in a nutshell is very simple. We all understand how Variable A Granger-causes Variable B (I have described the mechanics of Granger Causality testing above). But, what does Variable A Granger-causes Variables B, C, and D at the same time mean? I argue that there is a bug in this causality() function. And, it is missing an argument. You should be able to select the variable that is affected.
Dec 22, 2015 at 18:06 history edited Sympa CC BY-SA 3.0
added 2 characters in body
Dec 22, 2015 at 8:51 comment added Christoph Hanck Please edit your original question - this is fairly hard to read. Also, this is not reproducible, just the output.
Dec 21, 2015 at 19:45 comment added Sympa The most important section of the R output above is: "Granger causality HO: pi do not Granger-cause h6dda ten. pi stands for Personal Income, h6dda is Deposit (time series DDA with H6 money aggregates) and ten stands for 10 Year Treasury. In other words, this Granger-causality test tests whether Personal income (the cause in the coding of the R function) Granger-cause Deposit growth and also 10 Year Treasury movements... which does not make much sense to me.
Dec 21, 2015 at 19:39 comment added Sympa Christoph, I am attempting to copy the output I have copied from R onto an Excel spreadsheet. I don't know if I'll have much success with that. Granger-causality testing Personal Income granger causing H6DDA growth. > causality(var3, cause = "pi", vcov. = NULL, boot = FALSE, boot.runs=100) $Granger Granger causality H0: pi do not Granger-cause h6dda ten data: VAR object var3 F-Test = 5.7548, df1 = 4, df2 = 606, p-value = 0.0001501
Dec 21, 2015 at 10:16 history edited Richard Hardy CC BY-SA 3.0
added 27 characters in body; edited title
Dec 21, 2015 at 4:46 comment added Christoph Hanck Can you post a reproducible example? My guess would be it means "A causes at least one of B, C, D."
Dec 21, 2015 at 4:33 history asked Sympa CC BY-SA 3.0