Handling missing values in Stata using Multiple imputation in Panel Data

[@faraimutanga6410]

Hello. Thank you for the video on Missing Data. Very helpful. Please make a video on any of the following areas 1. Multinomial Ordinal Logistic Regression 2. Advanced Modelling of count data 3. Survival Analysis 4. Analyis of Heirarchical and other Dependent data 5. Bayesian Statistics 6. Advanced Applied Survey Data Analysis Methods 7. Treatment effects 8. Times series analysis Looking forward to your feedback. REGARDS.......GREEETINGS FROM ZAMBIA

[@nicolasaguilerameza8703]

Thanks a lot for this video. It was really helpful to put in practice what I've learnt in theory at class.

[@wilfred.theanalyst]

Great to hear that... kindly subscribe for more videos coming.

[@nicolasaguilerameza8703]

@@wilfred.theanalyst Already done! I've got a question: what is the package I need to install tu succesfully run the command "how_many_imputations"???

[@wilfred.theanalyst]

@@nicolasaguilerameza8703 package name 'how_many_imputation" you can check part 1 of the video it will show you how to install the same package

[@nicolasaguilerameza8703]

@@wilfred.theanalyst Thank you Wilfred!!!

[@user-bz2do1yy6v]

Thanks very much for such simplified techniques but i actually need your help as i am presently working on panel data of 15 African countries but i am having lots of missing variables.

[@wilfred.theanalyst]

You can connect with me via [e-mail]

[@bolisolwak1390]

Thank you, Wilfred, for a very nice explanation on how to solve the issues of missing data , actually doing my MSc. study using time series data, and I have missing data for some market prices at the beginning. Some are in the medial, and at the end, the data are monthly, and I need your help on that; kindly

[@wilfred.theanalyst]

Connect with me via [e-mail]

[@Paakow18]

Thank you very much for this video. Very useful. I'm getting this when I enter the How many imputations how_many_imputations Fraction of missing information (95% CI): . ( ., .) Imputations in pilot: . Imputations needed: . Imputations to add: 0 . What can I do?

[@wilfred.theanalyst]

This depends on the data you are using ,so the problem is on the data.

[@wilfred.theanalyst]

You can reach me out via [e-mail] so as we can see the type of data you are having.Thanks

[@mwilageorge2006]

Hi 👋.. how about when U ar using DHS data, and using quantile regression how do I do multiple imputations? I'll appreciate your quick response 🙏

[@wilfred.theanalyst]

mostly demographic and health surveys are categorical but it will depend on the type of variables you have selected.Your issue is unique and there are more isolated multiple imputation approaches that can be applied.Kindly reach me via email: [e-mail] for further discussion and clarification.Thank you

[@gabrielyeboah9177]

Hello Wilfred, good presentation. Are you familiar with SEM in stata?

[@wilfred.theanalyst]

Thank you Gabriel. Yeah I am familiar with Structural Equation Modeling(SEM) using Stata. Inbox me at [e-mail]

[@gabrielyeboah9177]

I will . Thanks

[@chineloochonma4821]

Thank you for the video. Please I am using a large data set for my STATA analysis. A specific variable I am interested in (income) is country-specific (each country has a separate variable for income). Do you know how I can analyse the income as a whole variable, please? Thank you for your help.

[@wilfred.theanalyst]

For consultation kindy connect with me via email: [e-mail]

[@mrigankadolui676]

Please make a video on multiple correspondence analysis (MCA) in stata

[@wilfred.theanalyst]

Great, I will upload that soon.

[@wilfred.theanalyst]

You can now watch how to do MCA in Stata kzbin.info/www/bejne/nHq3pYGogr-ad68

[@mrigankadolui676]

Thanks for your great efforts. Really helpful video for me.

[@thuongtran798]

Hello. Thanks for your video, it's so helpful. I had a problem of collinearity when I added the option by(Country) as I think it should be imputed according to different Countries. Do you have any idea about this problem? Please help me

[@kimtuyennguyen7298]

Hello, how can I fix this problem when do command "mi impute mvn": Performing EM optimization: note: 1 observation omitted from EM estimation because of all imputation variables missing. Iteration 1: variance-covariance matrix (Sigma) is not positive definite EM did not converge r(498); Thank you so much

[@wilfred.theanalyst]

The error message you encountered suggests that there is an issue with the input data or parameters when using the "mi impute mvn" command.I think its good to check your data first so as to troubleshoot the issue.In case of any help reach me via [e-mail]