Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias

by Devin Caughey, Adam J. Berinsky, Sara Chatfield, Erin Hartman, Eric Schickler

Overview

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.

Product Details

ISBN-13:	9781108794152
Publisher:	Cambridge University Press
Publication date:	10/22/2020
Series:	Elements in Quantitative and Computational Methods for the Social Sciences
Pages:	75
Product dimensions:	9.06(w) x 5.91(h) x 0.24(d)

Table of Contents

1. The Problem of Unrepresentative Survey Samples; 2. Weight Estimation; 3. Target Estimation; 4. Application to Contemporary Election Surveys; 5. Application to Quota-sampled Opinion Polls; 6. Extensions and Conclusion.