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Dear forum members,

After a long struggle with a MCMC cross-classified multilevel model that finally worked by using runmlwin the paper that contains it is finally accepted. However, the editor asked a simple question. Is the P value one sided or two sided?

After some searching on this site and I ...

Dear George,

First Question: Ok that is easy!

Second Question: That is also very helpful, indeed upping the burn-in periods changes the variance on the level (it goes down the higher the burn-in period) in the empty model. I will also try out different starting values, thanks!

Dear Forum,

In the final stages of my cross-classified analysis of pricing in the bookmarket, I am pondering the adding of an extra classification in my cross-classification model. I have editions of books which are nested in authors and publishers but as some booktitles are represented in multiple ...

I can't get the output on the forum in another way I think, so here it goes:

. runmlwin ln_gecorrigeerdeprijs cons, ///
level2(uitgeverij1: cons) level1(auteur1: cons)
mcmc(cc) initsmodel(m1igls) nopause

MLwiN 2.28 multilevel model Number of obs = 60435
Normal response model
Estimation ...

Dear George,

Thanks I will let you know if I succeed!

Update.

That was easy! I only had two small things that I wanted to check with you.

First, I didn't have a "cons" variable. I generated a variable with a score of 1 for each case, that is correct right?
Second, I'm a little confused about the ...

Dear forum,

I am trying to fit a model in Stata but it seems that Stata can’t handle it. I though maybe MLwiN could do it but before getting into that (I have no experience/knowledge about it at all) it seemed smart to ask here if you think that the model might run.
My case is the price of editions ...