Calibrating survey data using iterative proportional fitting (raking)

被引:148
作者
Kolenikov, Stanislav [1 ]
机构
[1] Abt SRBI, Columbia, MO USA
关键词
st0323; ipfraking; mat2do; xls2row; survey; calibration; weights; raking; iterative proportional fitting; VARIANCE-ESTIMATION; NONRESPONSE BIAS; ESTIMATORS; DESIGN; TOTALS; MODEL;
D O I
10.1177/1536867X1401400104
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
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.
引用
收藏
页码:22 / 59
页数:38
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