IDEAS home Printed from https://ideas.repec.org/a/eee/joepsy/v115y2026ics0167487026000309.html

Strategic misreporting on tax evasion: Uncovering social desirability bias through integrated list-vignette experiments

Author

Listed:
  • Saulītis, Andris

Abstract

This study combines list experiments with vignette-based norm priming to examine how normative expectations shape social desirability bias in tax evasion reporting across three European countries. A total of 6,915 respondents in Latvia, Italy, and Denmark were randomly assigned to receive country-specific tax morale information via a vignette prior to competing a list experiment and direct question on undeclared work. While the list experiment did not yield conclusive evidence of social desirability bias, evidence of strategic respondent error emerged through systematic inconsistencies between undeclared work lists and placebo lists. Vignette exposure did not alter aggregate prevalence estimates but reduced the incidence of inconsistent response patterns, particularly cases in which respondents reported zero items in the sensitive list while admitting undeclared work in the direct question, suggesting that normative information affects how disclosure is calibrated across formats. The findings indicate that social desirability bias in tax evasion surveys is context-dependent, and highlight the limitations relying solely on indirect measurement techniques to assess sensitive behaviors.

Suggested Citation

  • Saulītis, Andris, 2026. "Strategic misreporting on tax evasion: Uncovering social desirability bias through integrated list-vignette experiments," Journal of Economic Psychology, Elsevier, vol. 115(C).
  • Handle: RePEc:eee:joepsy:v:115:y:2026:i:c:s0167487026000309
    DOI: 10.1016/j.joep.2026.102906
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167487026000309
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joep.2026.102906?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    Statistics

    Access and download statistics

    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:eee:joepsy:v:115:y:2026:i:c:s0167487026000309. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joep .

    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.