One item you might recall is that the Hajek is bounded in the parameter space, while the Horvitz-Thompson is not. Here, you can see this feature in the estimating equations. This results from where the difference between Y and \mu is computed
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To complete our estimator, we can simply stack together the logistic regression estimating equations with our chosen weighted mean estimator. Again the sandwich gives us the variance directly
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