let's say I imputed for unbalanced panel data. now in estimation which model to choose under panel data analysis : fixed or random or mle any test for that since hausman won't work in weighted/ imputed data. plz help thank in advance
Hi! I have stata 10 and i need to impute my var. which command then i need to use. i dont have MI option in my stata menu. Should i use ice instead? In addition, could you pls suggest other way to consider missing values in reg.model other than imputation,Thanks!
You can use *mi xeq: summarize* to examine imputations. More generally, *mi xeq* executes commands on individual imputations; type 'help mi xeq' in Stata to learn more. There is also a community-contributed command that performs diagnostics for multiple imputations; type 'search midiagplots'.
Hi! thanks for your video. What was your rational for choosing 20 imputation in the model. can you explain please.
Hi, thanks for the video. May You show another one about multivariate imputation which would be useful too. Thank you.
Thanks! Very helpful
let's say I imputed for unbalanced panel data. now in estimation which model to choose under panel data analysis : fixed or random or mle any test for that since hausman won't work in weighted/ imputed data. plz help thank in advance
Can we have a similar video but with survey data?
What Does RVI and FMI stand for?
Hi! I have stata 10 and i need to impute my var. which command then i need to use. i dont have MI option in my stata menu. Should i use ice instead? In addition, could you pls suggest other way to consider missing values in reg.model other than imputation,Thanks!
How can I export the regression output into latex, please?
estout
esttab using file_name.tex
Does anyone know how to examine the imputed values?
You can use *mi xeq: summarize* to examine imputations. More generally, *mi xeq* executes commands on individual imputations; type 'help mi xeq' in Stata to learn more. There is also a community-contributed command that performs diagnostics for multiple imputations; type 'search midiagplots'.
@@statacorp I see. Thank you very much for such a comprehensive answer :)