Full Citation
Title: Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias
Citation Type: Miscellaneous
Publication Year: 2020
ISBN: 9781108879217
ISSN:
DOI: 10.1017/9781108879217
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Abstract: We elaborate a general workflow of weighting-based survey inference, decomposing it into two main tasks. The first is the estimation of population targets from one or more sources of auxiliary information. The second is the construction of weights that calibrate the survey sample to the population targets. We emphasize that these tasks are predicated on models of the measurement, sampling, and nonresponse process whose assumptions cannot be fully tested. After describing this workflow in abstract terms, we then describe in detail how it can be applied to the analysis of historical and contemporary opinion polls. We also discuss extensions of the basic workflow, particularly inference for causal quantities and multilevel regression and poststratification.
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Authors: Caughey, Devin; Berinsky, Adam J.; Chatfield, Sara; Hartman, Erin; Schickler, Eric; Sekhon, Jasjeet S.
Publisher: Cambridge University Press
Data Collections: IPUMS USA
Topics: Population Data Science
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