Calibrating survey data using iterative proportional fitting (raking)

• Autores: Stanislav Kolenikov
• Localización: The Stata journal, ISSN 1536-867X, Vol. 14, Nº. 1, 2014, págs. 22-59
• Idioma: inglés
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• Resumen

  • 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.