Hi Maya and Iain,
I have a quick clarification question about the problem set:
When you ask to find analytically the standard error of the MLE do you mean that you want us to derive the distribution of the MLE?
If yes, since the derived MLE is a function of a r.v. that has a well known distribution can we just derive the MLE distribution from that?
Thank you.
Chiara
Maybe this is a stupid question, but I'm trying to figure out the distinction between the beta coefficients in the probit model and the marginal effects. Is it the case that the beta coefficients equal the marginal effect of changing a particular Xi? Is this true only when X is a vector of the dataset means? Is it never true? I'm confused because I found this:
http://www.nd.edu/~rwilliam/xsoc73994/L08.pdf (page 5)
...which seems to imply the marginal effects are the product of the beta and the phi function (i.e., the normal cdf) evaluated at the vector of X you care about, and I'm unclear how to derive the correct answer.
Thanks,
Nick
Hi Maya and Iain,
a couple of quick questions about this week's assignment:
1)do we have to turn in our write up and R.file for our review to you in section?To the authors via-email?or both?
2) should we print out the R.code if we did any change?
Thank you.
Best,
Chiara
