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Statistical analysis of the item-count technique using Stata

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  • Chi-lin Tsai

    (National Chengchi University)

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.

Suggested Citation

  • Chi-lin Tsai, 2019. "Statistical analysis of the item-count technique using Stata," Stata Journal, StataCorp LP, vol. 19(2), pages 390-434, June.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:2:p:390-434
    DOI: 10.1177/1536867X19854018
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    Cited by:

    1. Aksoy, Billur & Carpenter, Christopher S. & Sansone, Dario, 2022. "Understanding Labor Market Discrimination against Transgender People: Evidence from a Double List Experiment and a Survey," IZA Discussion Papers 15542, Institute of Labor Economics (IZA).
    2. Granja, Cintia & Visentin, Fabiana & Carneiro, Ana Maria, 2023. "Can international mobility shape students' attitudes toward inequality?," MERIT Working Papers 2023-001, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Ó Ceallaigh, Diarmaid & Timmons, Shane & Robertson, Deirdre & Lunn, Pete, 2023. "Measures of problem gambling, gambling behaviours and perceptions of gambling in Ireland," Research Series, Economic and Social Research Institute (ESRI), number RS169, June.
    4. Carroll, Eamonn & Timmons, Shane & McGinnity, Frances, 2023. "Experimental tests of public support for disability policy," Research Series, Economic and Social Research Institute (ESRI), number RS159, June.
    5. Sofia Jonsson, 2023. "Does criminalizing the purchase of sex reduce sex-buying? Evidence from a European survey on prostitution," European Journal of Law and Economics, Springer, vol. 56(1), pages 91-115, August.
    6. Ahmad, Syedah & Lensink, Robert & Mueller, Annika, 2023. "Religion, social desirability bias and financial inclusion: Evidence from a list experiment on Islamic (micro-)finance," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).

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