IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v19y2019i2p390-434.html
   My bibliography  Save this article

Statistical analysis of the item-count technique using Stata

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0559
    File Function: link to article purchase
    Download Restriction: no
    File URL: http://www.stata-journal.com/software/sj19-2/st0559/
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1536867X19854018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. 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).
    5. 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).
    6. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:19:y:2019:i:2:p:390-434. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.