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 ?
Estimating bias in Endogenous Poisson modelsHi all, the title quite speaks for itself. I am trying to recover how the bias intervenes in the es…
Leave One Out Cross ValidationHello, I am trying to look for the best n given: set obs 200 gen x = runiform(0,5) gen U = rnorma…
How to transform the Datastream Format to Panel Data? Could you help me please?I hope I could transform my data to the format below. There should be four columns and for different…
Using rdrobust with panel data, error 3301I am using a cleaned, balanced panel on retirement behaviour with Stata 16. One of the questions I'm…
Gravity estimation including fixed effectsHi everyone, I am estimating a gravity model of trade including exporter-time and importer-time fix…
Subscribe to:
Post Comments (Atom)
0 Response to Consequences of modality under 5% of the total population ?
Post a Comment