Statistical analysis of the item-count technique using Stata

Chi-lin Tsai ()
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Chi-lin Tsai: National Chengchi University

Stata Journal, 2019, vol. 19, issue 2, 390-434

Abstract: In this article, I review recent developments of the item-count technique (also known as the unmatched-count or list-experiment technique) and introduce a new package, kict, for statistical analysis of the item-count data. This package contains four commands: kict deff performs a diagnostic test to detect the vio- lation of an assumption underlying the item-count technique. kict ls and kict ml perform least-squares estimation and maximum likelihood estimation, respec- tively. Each encompasses a number of estimators, offering great flexibility for data analysis. kict pfci is a postestimation command for producing confidence in- tervals with better coverage based on profile likelihood. The development of the item-count technique is still ongoing. I will continue to update the kict package accordingly. Copyright 2019 by StataCorp LP.

Keywords: kict; kict deff; kict ls; kict ml; kict pfci; item-count technique; unmatched-count technique; list experiment; sensitive question (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (8)

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DOI: 10.1177/1536867X19854018

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