Hi all,
I want to look at the effect of policy on the change in working hours for a certain age group. I have LFSdata split into quarters and I have managed to create pre and post policy variations of the variable I am looking at. However, I have more observations post policy than I do pre policy and so I have 100 or so missing data points. I have included a picture to give you an idea of what it looks like. I was wondering whether this would impact the values stata gives for descritpive statistics e.g. mean, standard deviation etc. Would it be adviseable to just ignore the 100 extra data points post policy and have equal sized groups? Array
Related Posts with Effect of msising data
Calculating timeframes between variables in long formatDear Forum-Users, I have a data set in long format – combining prescription data and dates of doc vi…
Comparing interaction effects using "nlcom"Dear Statalisters, In my model, I have two moderation effects which I would like to compare using t…
Dropping many variables if all observations contain a certain textDear All, I am having trouble with a command in Stata and no matter how much I researched beforehand…
The error 'option robust not allowed' in the "Oaxaca_rif" commandHi. I am going to use the "Oaxaca_rif" command. However, although I run the example in the help fil…
Creating matched-adjusted performance measuresHi everyone, I am new to this forum and I'm hoping that someone can help me. I have a sample of fir…
Subscribe to:
Post Comments (Atom)
0 Response to Effect of msising data
Post a Comment