Hi everyone,
I hope I'm posting this in the right place.
Here is my question :
I've always heard by my teachers that when you use an explanatory variable that is qualitative (binary or more), each modality of this variable must represent at least 5% of the total population. But what happens if one doesn't ? What if one of the modalities represents less than 5% of the total sample ?
I remember something like "stadards errors are greater, hence the robustness of the estimated coefficient is poorer..".
But is it that bad ? Even if my modality has A LOT of observations (like 1000, 10 000, 100 000) but is still under those 5% of representation ?
Thanks you very much for your help and guidance.
Jordan.
Related Posts with Consequences of modality under 5% of the total population ?
Inheritance and virtual functionsHi everyone, my question is in the use of virtual functions and they are actually two questions: 1…
Repeated measures linear regression model with turkey adjustment for multiple comparisonsDear statalisters, I have a panel data I set the data like this xtset c_op_id visit panel variable: …
Cannot use cd within programsHello, I am having problems with the following code (for example). As you can see, the cd command do…
Create Nomolog with Negative VariablesGood day I am trying to create a nomogram using nomolog OR db nomolog However, it returns to me as …
marginalized zero inflated modeling using STATAI have STATA 14 and I was informed that if I purchase STATA 16 I can now do marginalized zero inflat…
Subscribe to:
Post Comments (Atom)
0 Response to Consequences of modality under 5% of the total population ?
Post a Comment