IDEAS home Printed from https://ideas.repec.org/a/taf/euract/v25y2016i4p771-792.html
   My bibliography  Save this article

How Will the Court Decide? – Tax Experts’ versus Laymen's Predictions

Author

Listed:
  • Kay Blaufus
  • Jonathan Bob
  • Daniela Lorenz
  • Matthias Trinks

Abstract

We conduct a survey of German tax professionals (tax advisors and revenue agents) and laymen to examine whether tax experts more accurately forecast the outcomes of five real cases from the German Federal Fiscal Court. With an average of 2.39 correct predictions among experts and an average of 2.49 correct predictions among laymen, our results reveal no significant difference in forecasting accuracy between the two groups. Additionally, neither general nor task-specific tax expertise increases the experts’ forecasting accuracy. This unpredictability of tax court decisions indicates that accounting rules and taxpayer penalties that rely on accurate predictions of tax court decisions may need to be re-evaluated. Moreover, our results indicate the existence of two types of ‘advisor bias’. First, tax advisors exhibit a significantly higher level of overconfidence in comparison to other experts (i.e. revenue agents) and laymen. In particular, they believe that they correctly predict, on average, 1.52 more cases than they actually do. Second, we find some evidence indicating that tax advisors acting as client advocates form stronger appeal recommendations than revenue agents.

Suggested Citation

  • Kay Blaufus & Jonathan Bob & Daniela Lorenz & Matthias Trinks, 2016. "How Will the Court Decide? – Tax Experts’ versus Laymen's Predictions," European Accounting Review, Taylor & Francis Journals, vol. 25(4), pages 771-792, October.
    • Handle: RePEc:taf:euract:v:25:y:2016:i:4:p:771-792
    DOI: 10.1080/09638180.2015.1114423
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09638180.2015.1114423
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09638180.2015.1114423?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    2. Bengtsson, Claes & Persson, Mats & Willenhag, Peter, 2005. "Gender and overconfidence," Economics Letters, Elsevier, vol. 86(2), pages 199-203, February.
    3. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    4. Davis, Fred D. & Lohse, Gerald L. & Kottemann, Jeffrey E., 1994. "Harmful effects of seemingly helpful information on forecasts of stock earnings," Journal of Economic Psychology, Elsevier, vol. 15(2), pages 253-267, June.
    5. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
    6. Clement, Michael B. & Koonce, Lisa & Lopez, Thomas J., 2007. "The roles of task-specific forecasting experience and innate ability in understanding analyst forecasting performance," Journal of Accounting and Economics, Elsevier, vol. 44(3), pages 378-398, December.
    7. Menkhoff, Lukas & Schmeling, Maik & Schmidt, Ulrich, 2013. "Overconfidence, experience, and professionalism: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 92-101.
    8. Hilary, Gilles & Hsu, Charles, 2011. "Endogenous overconfidence in managerial forecasts," Journal of Accounting and Economics, Elsevier, vol. 51(3), pages 300-313, April.
    9. Dan Lovallo & Colin Camerer, 1999. "Overconfidence and Excess Entry: An Experimental Approach," American Economic Review, American Economic Association, vol. 89(1), pages 306-318, March.
    10. Onkal, Dilek & Yates, J. Frank & Simga-Mugan, Can & Oztin, Sule, 2003. "Professional vs. amateur judgment accuracy: The case of foreign exchange rates," Organizational Behavior and Human Decision Processes, Elsevier, vol. 91(2), pages 169-185, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Dyck, Daniel & Lorenz, Johannes & Sureth, Caren, 2022. "How do tax technology and controversy expertise affect tax disputes?," arqus Discussion Papers in Quantitative Tax Research 274, arqus - Arbeitskreis Quantitative Steuerlehre.
    2. Blaufus, Kay & Möhlmann, Axel & Schwäbe, Alexander N., 2019. "Stock price reactions to news about corporate tax avoidance and evasion," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 278-292.
    3. Blaufus, Kay & Lorenz, Daniela & Milde, Michael & Peuthert, Benjamin & Schwäbe, Alexander N., 2022. "Negotiating with the tax auditor: Determinants of tax auditors' negotiation strategy choice and the effect on firms’ tax adjustments," Accounting, Organizations and Society, Elsevier, vol. 97(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Helen X. H. Bao & Steven Haotong Li, 2016. "Overconfidence And Real Estate Research: A Survey Of The Literature," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-24, September.
    2. Konon, Alexander, 2015. "Personality traits, subjective learning, and entrepreneurial decision making," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112805, Verein für Socialpolitik / German Economic Association.
    3. Kataria, Mitesh, 2017. "How long do you think it will take? Field Evidence on Gender Differences in Time Optimism," Working Papers in Economics 694, University of Gothenburg, Department of Economics.
    4. Baiba Renerte & Jan Hausfeld & Torsten Twardawski, 2020. "Gender, overconfidence, and optimal group composition for investment decisions," TWI Research Paper Series 121, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    5. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    6. Michał Krawczyk & Maciej Wilamowski, 2015. "Are we all overconfident in the long run? Evidence from one million marathon participants," Working Papers 2015-01, Faculty of Economic Sciences, University of Warsaw.
    7. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    8. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
    9. Daniel Fonseca Costa & Francisval Carvalho & Bruno César Moreira & José Willer Prado, 2017. "Bibliometric analysis on the association between behavioral finance and decision making with cognitive biases such as overconfidence, anchoring effect and confirmation bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1775-1799, June.
    10. Philip A. Stork, 2011. "The intertemporal mechanics of European stock price momentum," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 28(3), pages 217-232, August.
    11. de la Rosa, Leonidas Enrique, 2011. "Overconfidence and moral hazard," Games and Economic Behavior, Elsevier, vol. 73(2), pages 429-451.
    12. Markus Glaser & Thomas Langer & Martin Weber, 2007. "On the Trend Recognition and Forecasting Ability of Professional Traders," Decision Analysis, INFORMS, vol. 4(4), pages 176-193, December.
    13. Christopher Dawson & David de Meza & Andrew Henley & G. Reza Arabsheibani, 2014. "Entrepreneurship: Cause and Consequence of Financial Optimism," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(4), pages 717-742, December.
    14. Lisa Beck-Werz, 2022. "Young, Male, Experienced: What factors drive overconfidence? Empirical evidence from marathon running," Working Papers Dissertations 96, Paderborn University, Faculty of Business Administration and Economics.
    15. Ray Saadaoui Mallek & Mohamed Albaity, 2019. "Individual differences and cognitive reflection across gender and nationality the case of the United Arab Emirates," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1567965-156, January.
    16. Dasgupta, Utteeyo & Gangadharan, Lata & Maitra, Pushkar & Mani, Subha, 2017. "Searching for preference stability in a state dependent world," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 17-32.
    17. Khan, Mohammad Tariqul Islam & Tan, Siow-Hooi & Chong, Lee-Lee, 2017. "How past perceived portfolio returns affect financial behaviors—The underlying psychological mechanism," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1478-1488.
    18. Oberlechner, Thomas & Osler, Carol, 2012. "Survival of Overconfidence in Currency Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(1), pages 91-113, February.
    19. Danková, Katarína & Servátka, Maroš, 2019. "Gender robustness of overconfidence and excess entry," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 179-199.
    20. Nadia Simoes & Nuno Crespo & Sandrina B. Moreira, 2016. "Individual Determinants Of Self-Employment Entry: What Do We Really Know?," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 783-806, September.

    More about this item

    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:taf:euract:v:25:y:2016:i:4:p:771-792. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REAR20 .

    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.