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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: List Experiments with Measurement Error |
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Identification Number: |
doi:10.7910/DVN/L3GWNP |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2019-03-31 |
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Version: |
1 |
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Bibliographic Citation: |
Blair, Graeme; Chou, Winston; Imai, Kosuke, 2019, "Replication Data for: List Experiments with Measurement Error", https://doi.org/10.7910/DVN/L3GWNP, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data for: List Experiments with Measurement Error |
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Identification Number: |
doi:10.7910/DVN/L3GWNP |
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Authoring Entity: |
Blair, Graeme (University of California, Los Angeles) |
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Chou, Winston (Princeton University) |
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Imai, Kosuke (Harvard University) |
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Producer: |
Political Analysis |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Imai, Kosuke |
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Depositor: |
Chou, Winston |
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Date of Deposit: |
2018-08-10 |
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Series Name: |
Volume #, Issue # |
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Holdings Information: |
https://doi.org/10.7910/DVN/L3GWNP |
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Study Scope |
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Keywords: |
Social Sciences, auxiliary information, indirect questioning, item count technique, misspecification test, sensitive survey questions, unmatched count technique |
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Abstract: |
We provide new tools for diagnosing and mitigating measurement error in list experiments. First, we demonstrate that the nonlinear least squares regression (NLS) estimator proposed in Imai (2011) is robust to nonstrategic measurement error. Second, we offer a general model misspecification test to gauge the divergence of the ML and NLS estimates. Third, we show how to model measurement error directly, proposing new estimators that preserve the statistical efficiency of the ML estimator while improving robustness. Lastly, we revisit empirical studies shown to exhibit nonstrategic measurement error, and demonstrate that our tools readily diagnose and mitigate the resulting bias. We conclude this article with a number of practical recommendations for applied researchers. The proposed methods are implemented through an open-source software package. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Forthcoming, Political Analysis |
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Bibliographic Citation: |
Forthcoming, Political Analysis |
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Label: |
BCI-materials.zip |
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Text: | |
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Notes: |
application/zip |