Message from @Koba
Discord ID: 301469879935172608
But basically I'm trying to interpret a Granger Causality test
Hmmm
Well I'd see if you can pirate it first
Stata is fucking expensive
Don't buy it if you aren't sure it can fulfill your needs
I've already done it.
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
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
ok the simplest way you can ask them is this: "Do these results indicate that I can reject H0?"
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.