www.cmm.bristol.ac.uk/forum

Thank you very much for the time and info, George.

Thank you very much, George.

I tried attaching the data in Stata format but it didn't work so I am attaching the data in excel format.

Have a great weekend ahead.


sort pid wave_obs
capture noisily runmlwin yhousetenure3_b cons, level2(pid: cons, residuals(u1a)) level1(wave_obs:) discrete ...

Hi.

I am estimating a multiple-membership multinomial model (3 categories for the response outcome) using a data with 23712 person-year records. If a person is in cohabiting relationship, I am implicitly assuming that his / her random effect is a weighted function of each partner's random effect ...

I am estimating a residential mobility (logistic) model whose covariate effects vary according to marital status: whether single or whether couples. One of the covariates is the number of years living in current address. Intuitively, we would expect negative duration effects on the probability of a ...

Thanks for the quick response, George.

You are right about the intercepts, this should be the case:

g Xlone = single_multiple == 1
g Xmultiple = single_multiple == 0


But the problem still persisted. Per your advice, I removed all the fixed parts and retained only the intercepts: Xsingle and ...

Hi.

Using panel data, I am trying to estimate a logistic model (on the probability of a residential move) that varies according to an individual's hhld membership: (single-person household vs. couple/multiple-member hhld) (Kindly see attached file equation.jpg). I have 35 explanatory variables ...

Thank you very much for the detailed response, George.

I think you're right, I should also interact the intercept with cohabiting status. Hopefully, that will solve the problem. Thanks again

Hi.

Using panel data, I am trying to estimate a logistic model (on the probability of a residential move) that varies according to an individual's marital status: (single vs. cohabiting relationship) (Kindly see attached file equation.jpg). I have 35 explanatory variables. Since, across time an ...

Hi.

I am trying to estimate a 2-level multinomial model. The dependent variable has 4 categories and I have about 35 explanatory variables. I am working on with a data set with 83,123 records. Unfortunately, everytime I use runmlwin to estimate the model, I keep on receiving an error that says ...

Thanks a lot, George.

You're right, the 0's should not be there. However, the 0's correspond to the base categories of the categorical variables X1, X9, X14 and X17. I was able to proceed to MCMC estimation after creating dummy variables for these four variables (and excluding the base categories ...