Calibrating survey data using iterative proportional fitting (raking)

Stanislav Kolenikov

Stata Journal, 2014, vol. 14, issue 1, 22-59

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. Copyright 2014 by StataCorp LP.

Keywords: ipfraking; mat2do; xls2row; survey; calibration; weights; raking; iterative proportional fitting (search for similar items in EconPapers)
Date: 2014
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