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Failure to CAPTCHA Attention: Null Results from an Honesty Priming Experiment in Guatemala

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  • Kettle, Stewart
  • Hernandez, Marco
  • Sanders, Michael
  • Hauser, Oliver
  • Ruda, Simon

Abstract

We report results from a large online randomised tax experiment in Guatemala. The trial involves short messages and choices presented to taxpayers as part of a CAPTCHA pop-up window immediately before they file a tax return, with the aim of priming honest declarations. In total our sample includes 627,242 taxpayers and 3,232,430 tax declarations made over four months. Treatments include: honesty declaration; information about public goods; information about penalties for dishonesty, questions allowing a taxpayer to choose which public good they think tax money should be spent on; or questions allowing a taxpayer to state a view on the penalty for not declaring honestly. We find no impact of any of these treatments on the average amount of tax declared. We discuss potential causes for this null effect and implications for ‘online nudges’ around honesty priming.

Suggested Citation

  • Kettle, Stewart & Hernandez, Marco & Sanders, Michael & Hauser, Oliver & Ruda, Simon, 2017. "Failure to CAPTCHA Attention: Null Results from an Honesty Priming Experiment in Guatemala," Scholarly Articles 33490945, Harvard Kennedy School of Government.
  • Handle: RePEc:hrv:hksfac:33490945
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    Cited by:

    1. Dimant, Eugen & van Kleef, Gerben A. & Shalvi, Shaul, 2020. "Requiem for a Nudge: Framing effects in nudging honesty," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 247-266.
    2. Dina Pomeranz & José Vila-Belda, 2019. "Taking State-Capacity Research to the Field: Insights from Collaborations with Tax Authorities," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 755-781, August.
    3. Migchelbrink, Koen & Raymaekers, Pieter, 2023. "Nudging people to pay their parking fines on time. Evidence from a cluster-randomized field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 105(C).
    4. James Alm & Lilith Burgstaller & Arrita Domi & Amanda März & Matthias Kasper, 2023. "Nudges, Boosts, and Sludge: Using New Behavioral Approaches to Improve Tax Compliance," Economies, MDPI, vol. 11(9), pages 1-22, September.
    5. Billur Aksoy & Marco A. Palma, "undated". "The Effects of Scarcity on Cheating and In-Group Favoritism," Working Papers 20180918-001, Texas A&M University, Department of Economics.
    6. Rahwan, Zoe & Hauser, Oliver P. & Kochanowska, Ewa & Fasolo, Barbara, 2018. "High stakes: A little more cheating, a lot less charity," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 276-295.
    7. Antinyan, Armenak & Asatryan, Zareh, 2019. "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers 19-055, ZEW - Leibniz Centre for European Economic Research.
    8. Prochazka, Jakub & Fedoseeva, Yulia & Houdek, Petr, 2021. "A field experiment on dishonesty: A registered replication of Azar et al. (2013)," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    9. Aksoy, Billur & Palma, Marco A., 2019. "The effects of scarcity on cheating and in-group favoritism," Journal of Economic Behavior & Organization, Elsevier, vol. 165(C), pages 100-117.
    10. Werner, Peter & Riedl, Arno, 2018. "The role of experiments for policy design," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
    11. Parampreet Christopher Bindra & Graeme Pearce, 2022. "The effect of priming on fraud: Evidence from a natural field experiment," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1854-1874, October.
    12. Oliver P. Hauser & Francesca Gino & Michael I. Norton, 2018. "Budging beliefs, nudging behaviour," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 17(1), pages 15-26, November.
    13. Luka Koning & Marianne Junger & Joris Hoof, 2020. "Digital signatures: a tool to prevent and predict dishonesty?," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 19(2), pages 257-285, November.

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