You could use t for testing a single constraint. But in practice we use F because it can handle both single constraint and multiple constraints. A single parameter F distribution is simply a square of the corresponding t distribution.
@@junbeombahk3668 I am not using a t test in the video. The test is a single parameter Wald test. See this for an explanation of the tests th-cam.com/video/AbhwpFX2Xdw/w-d-xo.html
Hi! Thanks for video :) I was wondering whether you are thinking to take a video for Method of Moments? I have watched the GMM and and you are mentioning there, it would be nice to watch :) And maybe one more video suggestion, the differences between MM,GMM and Likelihood, I know there are certain differences where to use what (such as if we dont know the distribution, it doesnt make sense to use Likelihood etc)
I am not fully convinced that knowing the difference is useful for an applied researcher. That being said, it would not take long to explain the difference. I put it on my list of potential things to do, but the list is already quite long so it will take some time.
Hi! Why would we not use a t test in this case?
You could use t for testing a single constraint. But in practice we use F because it can handle both single constraint and multiple constraints. A single parameter F distribution is simply a square of the corresponding t distribution.
@@mronkko thanks!! Then why in some cases we should use a wald test instead of a t test like in this video?
@@junbeombahk3668 I am not using a t test in the video. The test is a single parameter Wald test. See this for an explanation of the tests th-cam.com/video/AbhwpFX2Xdw/w-d-xo.html
Hi! Thanks for video :) I was wondering whether you are thinking to take a video for Method of Moments? I have watched the GMM and and you are mentioning there, it would be nice to watch :) And maybe one more video suggestion, the differences between MM,GMM and Likelihood, I know there are certain differences where to use what (such as if we dont know the distribution, it doesnt make sense to use Likelihood etc)
I am not fully convinced that knowing the difference is useful for an applied researcher. That being said, it would not take long to explain the difference. I put it on my list of potential things to do, but the list is already quite long so it will take some time.