I am successfully running regressions on IPUMS-USA data using weighted least squares regressions with standard errors calculated from replicate weights. I have been asked to consider using GEE (generalized estimating equation) to account for correlated disturbances created by clusters of individuals sharing the same household level data.
Has the MPC investigated this issue? Are households big enough to create meaningful correlated disturbances? And would GEE provide a meaningful advantage to WLS regressions considering that SEs are coming from replicate weghts and the only difference between the approaches would be in the coefficients?