Dear Stata users,
I am interested in estimating a multilevel model that includes variables at different levels (e.g., individual store-, parent firm-, industry-, and zip-code levels). The sample is pretty large with more than 2-million observations at the store level across different firms. Is there any command that allows me to estimate a fixed-effects multilevel model in a fast manner? Thank you.
Related Posts with multilevel model with large data, any quick solutions?
Help comprehending invnorm(uniform()) command in relation to homeworkDear friends, Need some help comprehending invnorm(uniform()) command in relation to a homework, if…
Transition Graphs or MatricesHi All, I need to create a transition graph or matrices to show the percentage of households/ indiv…
xteprobit not convergingHello Statalisters-- I'm having trouble running xteprobit with a treatment function. Even after str…
Multilevel logit with truncated dependent variableDear Statalists, my sample is an unbalanced worldwide panel data sample of around 2000 firms in the …
Does Standardization have sense in this case?Hi everybody I want to construct a proxy variable for the probability that a person from country x a…
Subscribe to:
Post Comments (Atom)
0 Response to multilevel model with large data, any quick solutions?
Post a Comment