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 post-stratification to construct these improved estimates, but since we don't have population level information on the post-stratifying variable, we construct a model for the manner in which the post-stratifier 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.
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Paper provided by California Institute of Technology, Division of the Humanities and Social Sciences in its series Working Papers with number
1091.
Length: 21 pages Date of creation: May 2000 Date of revision: Publication status: Published: Handle: RePEc:clt:sswopa:1091
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