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The Stata Journal
Volume 14 Number 1: pp. 22-59

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Calibrating survey data using iterative proportional fitting (raking)

Stanislav Kolenikov
Columbia, MO
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.
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View all articles with these keywords: ipfraking, mat2do, xls2row, survey, calibration, weights, raking, iterative proportional fitting

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