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Published March 2001 | public
Journal Article

Poststratification Without Population Level Information on the Poststratifying Variable With Application to Political Polling


We investigate the construction of more precise estimates of a collection of population means using information about a related variable in the context of repeated sample surveys. The method is illustrated using poll results concerning presidential approval rating (our related variable is political party identification). We use poststratification to construct these improved estimates, but because we do not have population level information on the poststratifying variable, we construct a model for the manner in which the poststratifier develops over time. In this manner, we obtain more precise estimates without making possibly untenable assumptions about the dynamics of our variable of interest, the presidential approval rating.

Additional Information

© 2001 American Statistical Association. Received June 1999. Revised July 2000. C. Reilly and A. Gelman thank the NSF for grant SBR-97-08424 and Young Investigator Award DMS-97-96129, and J. Katz thanks the John M. Olin Foundation.

Additional details

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October 26, 2023