2017
DOI: 10.1007/s00362-017-0895-7
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Poisson–Poisson item count techniques for surveys with sensitive discrete quantitative data

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Cited by 4 publications
(2 citation statements)
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“…2015; Liu et al. 2017). The item count technique regression models, particularly the maximum likelihood estimator (ICT-MLE), is the statistical innovation that has justifiably received the most attention (Imai 2011).…”
mentioning
confidence: 99%
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“…2015; Liu et al. 2017). The item count technique regression models, particularly the maximum likelihood estimator (ICT-MLE), is the statistical innovation that has justifiably received the most attention (Imai 2011).…”
mentioning
confidence: 99%
“…1 The survey list experiment is among the most commonly used of these tools. Along with increased interest in list experiments have come new design procedures and statistical estimators for list experiment data (Corstange 2009;Imai 2011;Blair and Imai 2012;Glynn 2013;Tian et al 2017;Aronow et al 2015;Liu et al 2017). The item count technique regression models, particularly the maximum likelihood estimator (ICT-MLE), is the statistical innovation that has justifiably received the most attention (Imai 2011).…”
mentioning
confidence: 99%