Message from @Nikephoros
Discord ID: 301470659341582336
I just need help interpreting the output
Do you know any classmates/professors that could help?
Professors would be best but if you're at a state college it might be difficult to get to them during office hours
My prof is hard to get to
And so many people in this class are very confused
Do you have a TA that's of any use?
Do you know anyone who's already taken the class and could help?
No TAs
Rip
TAs are usually useless anyway
From what I understand, It's very straightforward if you know what these outputs mean
Like does Prob > F = (#) mean Fail to reject or reject H0
@Nikephoros I have no idea, I haven't used R since I used python
Which I haven't done since python 2.7 came out
I know a guy who's premed who could help but I'm not sure I'll be able to get a hold of him
I have a friend at Case Western, I can shoot him a text and ask if he knows
So none of those outputs mean anything to you?
Lol not at the moment
Sorry, but I'll ask a couple of friends and see if they can help
You know what, I think the decision rule is Reject H0 if "Prob > F" is greater than "F(#, #)"
Which appears to be true
@Koba Tell him this is the output to a Granger Causality Test
I did
He's a bit of an autiste so he takes a while to get his thoughts out
I see. I'm fairly certain that I can reject H0. Even if I don't know how to explain it using the data, the underlying question is: Is "egg" the cause of "Chicken"
The answer is, presumably, yes.
@Nikephoros I wish I could offer help. I used STATA for econometrics as well, but that was nearly 10 years ago.
I did my econometrics project on whether baseball player salaries are representative of objective output.
Spoiler alert, they aren't unless you time shift the pay by like 2 years IIRC.
@Nikephoros is the > an operator or just an output format?
@Koba I really don't know why its formatted "Prob > F", I think it might refer to a critical value of some sort.
Maybe not
Because I read that as "probability of f = .8903"
"Prob of chi2 = .8877"
There is nothing special about granger causality versus other hypothesis tests in stata.
So what should I interpret these outputs to mean?