I am working on a health data set and trying to capture health inequality in India. Further, I am using a non-parametric (kernel) regression model to measure health inequality. To calculate the standard error of the concentration index should I use the delta method or bootstrap? and why?
Chukwuemeka E. Etodike
Sujata Sujata Both methods have contextual applications depending on how the data is analyzed. The idea of bootstrapping SE is variability especially if the sample is not randomized otherwise repeated sampling may apply. Whereas Delta method is for approximation of already randomized observation.
You cannot choose any except you justify the context.
Best of luck
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