Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Elke.Luedemann@campus.lmu.de |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Average marginal effects for a multiply imputed compley survey data set |

Date |
Fri, 12 Mar 2010 14:03:04 +0100 (CET) |

Hello, I am using a multiply imputed complex survey dataset to fit a multinomial logit model in Stata 11. The dependent variable has three possible outcomes, and I have both continuous and discrete independent variables. I calculate individual average marginal effects after mlogit for each of the imputed data sets separately using the following code: svyet psuid [pw=mywgt], strata(stratavar) forvalues j=1/3{ quietly: svy: mlogit depvar var1 i.var2 var3 i.var4 margins, vce(unconditional) dydx(*) predict(outcome(`j')) post eststo modela_`j' } My question is: how can the estimates of the average marginal effects for several continuous and/or discrete independent variables (as well as their standard errors) be combined across the different imputed datasets? Similar questions have been asked to the Statalist before, but I was wondering whether either the new Stata 11 module MI (i.e., the mi estimate command) or the user-written commands mim/mim2 are capable of estimating these statistics. I have tried to use the "mim2, category(fit):" command, but this does not seem to work because "statsby" doesn't allow pweights. (Remark: I am not interested in estimating odds ratios, which would be simpler to combine.) Any suggestions would be appreciated. Best, Elke * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

- Prev by Date:
**Re: st: Can we port Stata windowing and graphics preferences between computers?** - Next by Date:
**st: Re: effect size using sizefx** - Previous by thread:
**st: Scatterplot with weight-scaled markers and labels** - Next by thread:
**st: Re: effect size using sizefx** - Index(es):