I am using the boot function in R to get standard errors for several statistics (I am doing a oaxaca blinder decomposition). My data (EU-SILC) has sample weights (PB040) for every observation. My understanding is that I have to use those weights for every OLS regression or other package I run to correct for sampling errors of the survey.
The thing is now that the boot package in R also can use sample weights.
Should I use the same sample weights for the call of the boot function and for the calculations "inside" the boot function?
My reason for this question is that since the boot function does a weighted draw from the original sample the function "inside" the boot-function should allready have a weighted sample. So using sample weights inside the boot function would be redundant or lead to a bias.
This is my first posting to cross validated and I am pretty new to bootstraping and econometrics so I hope I asked the question concise enough.