Calibrating survey data using iterative proportional fitting (raking)
Abstract. In this article, I introduce the ipfraking package, which implements
weight-calibration procedures known as iterative proportional fitting, or raking,
of complex survey weights. The package can handle a large number of control
variables and trim the weights in various ways. It also provides diagnostic tools
for the weights it creates. I provide examples of its use and a suggested workflow
for creating raked replicate weights.
View all articles by this author:
View all articles with these keywords:
ipfraking, mat2do, xls2row, survey, calibration, weights, raking, iterative proportional fitting
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
if you have questions about the Stata Journal.