Full Citation

Title: Simultaneous Raking of Survey Weights at Multiple Levels

Citation Type: Miscellaneous

Publication Year: 2015

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Abstract: This paper discusses the problem of calibrating survey weights to data at different levels of aggregation, such as households and individuals. We present and compare three different methods. The first does the weighting in two stages, using only the household data, and then only the individual data. The second redefines targets at the individual level, if possible, and uses these targets to calibrate only the individual level weights. The third uses multipliers of household size to produce household level weights that simultaneously calibrate to the individual level totals. We discuss advantages and disadvantages of these approaches, including their requirements in terms of access to the control total data and software. We conclude by outlining directions for further research.

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Authors: Kolenikov, Stas; Hammer, Heather

Publisher: Abt/SRBI

Data Collections: IPUMS USA

Topics: Methodology and Data Collection

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