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Calibrating survey data using iterative proportional fitting (raking)

Author

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  • Stanislav Kolenikov

    () (Abt SRBI)

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.

Suggested Citation

  • Stanislav Kolenikov, 2014. "Calibrating survey data using iterative proportional fitting (raking)," Stata Journal, StataCorp LP, vol. 14(1), pages 22-59, March.
  • Handle: RePEc:tsj:stataj:v:14:y:2014:i:1:p:22-59
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    Cited by:

    1. Michael Spanbauer & Lindsay Johnson & Patrick Button, 2017. "How Valuable are National Parks? Evidence from a Proposed National Park Expansion in Alaska," Working Papers 1707, Tulane University, Department of Economics, revised Mar 2018.

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