Sensitive Questions, Truthful Answers? Modeling the List Experiment with LISTIT
Abstract
Standard estimation procedures assume that empirical observations are accurate reflections of the true values of the dependent variable, but this assumption is dubious when modeling self-reported data on sensitive topics. List experiments (a.k.a. item count techniques) can nullify incentives for respondents to misrepresent themselves to interviewers, but current data analysis techniques are limited to difference-in-means tests. I present a...
Paper Details
Title
Sensitive Questions, Truthful Answers? Modeling the List Experiment with LISTIT
Published Date
Jan 1, 2009
Journal
Volume
17
Issue
1
Pages
45 - 63
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