Multivariate Regression Analysis for the Item Count Technique

By Kosuke Imai. 2011

300 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/511bfb6cfb77c1be4769e9fc0dfe02294c373666

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Citations in the corpus

Using the Predicted Responses from List Experiments as Explanatory Variables in Regression Models (2015, methodology): “Both of our estimators build upon the general likelihood framework proposed by Imai (2011) and Blair and Imai (2012).”
Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan (2014, methodology): “New statistical methods have been developed so that researchers can conduct multivariate regression analysis for each of these survey techniques (Corstange, 2009; Glynn, 2010; Bullock, Imai and Shapiro, 2011; Imai, 2011; Blair and Imai, 2012).”
The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak (2021, methodology): “This method has been largely adopted in the field of study (Hong et al., 2019; Wang and Hu, 2020; Wijaya et al., 2019) and enables understanding the degree at which the set of independent variables is a predictor of the chosen dependent variables, which are called responses (Imai, 2011).”
Paying Attention to Inattentive Survey Respondents (2019, background): “Under two assumptions—nodesign effect and no liars—the difference between the average response under treatment and control consistently estimates the level of support for the sensitive item (Imai 2011; Blair and Imai 2012).”
Statistical Analysis of List Experiments (2012, methodology): “…optimization problem because it only requires the separate estimation ofg(x, δ) andhz(y; x, ψz), which can be accomplished 8To facilitate computation,Imai (2011) proposes a two-step procedure wheref (x, γ ) is first fitted to the control group and then g(x, δ) is fitted to the treatment group…”