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Digit Ratio Measurement Guide

Author

Listed:
  • Neyse, Levent
  • Brañas-Garza, Pablo

Abstract

Literature on Digit Ratio is rapidly growing in Economics. Quite surprisingly we observe that there is no consensus about how to make an accurate measurement in such a delicate task. Along this brief document we offer some concise guidance of how to scan the hands using digital scanners and provide a comprehensive guideline to make a reliable measurement of the 2D:4D. Furthermore, we point out the most common imaging and measurement errors. We also provide a number of hints aimed to avoid these errors that in some cases may cause systematic inaccuracies.

Suggested Citation

  • Neyse, Levent & Brañas-Garza, Pablo, 2014. "Digit Ratio Measurement Guide," MPRA Paper 54134, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:54134
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    File URL: https://mpra.ub.uni-muenchen.de/54134/1/MPRA_paper_54134.pdf
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    References listed on IDEAS

    as
    1. Pablo Branas-Garza & Jaromir Kovarik & Levent Neyse, 2013. "Second-to-Fourth Digit Ratio has a Non-Monotonic Impact on Altruism," Working Papers 13-09, Chapman University, Economic Science Institute.
    2. Matthew Pearson & Burkhard Schipper, 2012. "The visible hand: finger ratio (2D:4D) and competitive bidding," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 510-529, September.
    3. Ellen Garbarino & Robert Slonim & Justin Sydnor, 2011. "Digit ratios (2D:4D) as predictors of risky decision making for both sexes," Journal of Risk and Uncertainty, Springer, vol. 42(1), pages 1-26, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo & Mata-Pérez, Esther & Ponti, Giovanni & Sartarelli, Marcello & Yu, Haihan & Zhukova, Vita, 2016. "Cognitive (ir)reflection: New experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 81-93.
    2. Judit Alonso & Roberto Di Paolo & Giovanni Ponti & Marcello Sartarelli, 2017. "Some (Mis)facts about 2D:4D, Preferences and Personality," Working Papers. Serie AD 2017-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Pablo Brañas‐Garza & Matteo M. Galizzi & Jeroen Nieboer, 2018. "Experimental And Self‐Reported Measures Of Risk Taking And Digit Ratio (2d:4d): Evidence From A Large, Systematic Study," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1131-1157, August.
    4. Sergio Da Silva & Bruno Moreira & Newton Da Costa Jr, 2015. "Handedness and digit ratio predict overconfidence in cognitive and motor skill tasks in a sample of preschoolers," Economics Bulletin, AccessEcon, vol. 35(2), pages 1087-1097.
    5. Neyse, Levent & Ring, Patrick & Bosworth, Steven, 2015. "Prenatal testosterone exposure predicts mindfulness: Does this mediate its effect on happiness?," Kiel Working Papers 1999, Kiel Institute for the World Economy (IfW).
    6. Brañas-Garza, Pablo & Chowdhury, Subhasish & Espín, Antonio M. & Nieboer, Jeroen, 2019. "‘Born this Way’? Prenatal Exposure to Testosterone May Determine Behavior in Competition and Conflict," MPRA Paper 92663, University Library of Munich, Germany.
    7. Brañas-Garza, Pablo & Espín, Antonio M. & Garcia, Teresa & Kovářík, Jaromír, 2018. "Digit ratio (2D:4D) predicts pro-social behavior in economic games only for unsatisfied individuals," MPRA Paper 86166, University Library of Munich, Germany.
    8. repec:eee:soceco:v:72:y:2018:i:c:p:86-94 is not listed on IDEAS
    9. Neyse, Levent & Friedl, Andreas & Schmidt, Ulrich, 2014. "Payment Scheme Changes and Effort Provision: The Effect of Digit Ratio," MPRA Paper 59549, University Library of Munich, Germany.

    More about this item

    Keywords

    2D:4D; Digit ratio; Measurement; Guide;

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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