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Behavior Under Vague Standards: Evidence from the Laboratory

Author

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  • Sven Hoeppner

    (Center for Advanced Studies in Law and Economics, Ghent University Law School, Ghent)

  • Laura Lyhs

    (Friedrich Schiller University Jena)

Abstract

Doctrinal lawyers strive to reduce legal uncertainty based on the premise that difficult to predict legal consequences discourage socially desirable activities. Contributions from the economic theory of law suggest that increasing legal uncertainty can be socially beneficial. We test in an innovative laboratory experiment whether increasing the variability of an exogenous choice threshold (legal standard) increases or reduces socially desirable behavior. The results indicate a U-shaped relationship between increases in variability and activity choices: increases in variability first induce lower than optimal choices under an efficient standard (overcompliance), but eventually lead to greater than optimal choices under an efficient standard (undercompliance). We also find that overcompliance arises only under low degrees of standard variability. Moreover, increasing variability gradually crowds-out compliant choices. Finally, in the experiment minimal variability of the legal standard induces erratic individual behavior beyond socially satisfactory levels such that the standard loses its coordination function.

Suggested Citation

  • Sven Hoeppner & Laura Lyhs, 2016. "Behavior Under Vague Standards: Evidence from the Laboratory," Jena Economics Research Papers 2016-010, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2016-010
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    File URL: https://oweb.b67.uni-jena.de/Papers/jerp2016/wp_2016_010.pdf
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    1. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    2. Armin Falk & James J. Heckman, 2009. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," Working Papers 200935, Geary Institute, University College Dublin.
    3. Hannah Schildberg-Hörisch & Christina Strassmair, 2012. "An Experimental Test of the Deterrence Hypothesis," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 28(3), pages 447-459, August.
    4. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    5. Uri Gneezy & Alex Imas & John List, 2015. "Estimating Individual Ambiguity Aversion: A Simple Approach," Artefactual Field Experiments 00588, The Field Experiments Website.
    6. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    7. Tanjim Hossain & John A. List, 2012. "The Behavioralist Visits the Factory: Increasing Productivity Using Simple Framing Manipulations," Management Science, INFORMS, vol. 58(12), pages 2151-2167, December.
    8. Vincent P. Crawford & Juanjuan Meng, 2011. "New York City Cab Drivers' Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income," American Economic Review, American Economic Association, vol. 101(5), pages 1912-1932, August.
    9. Mohammed Abdellaoui & Han Bleichrodt & Olivier L’Haridon, 2008. "A tractable method to measure utility and loss aversion under prospect theory," Journal of Risk and Uncertainty, Springer, vol. 36(3), pages 245-266, June.
    10. Lang, Matthias, 2017. "Legal uncertainty as a welfare enhancing screen," European Economic Review, Elsevier, vol. 91(C), pages 274-289.
    11. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    12. Mohammed Abdellaoui & Han Bleichrodt & Corina Paraschiv, 2007. "Loss Aversion Under Prospect Theory: A Parameter-Free Measurement," Management Science, INFORMS, vol. 53(10), pages 1659-1674, October.
    13. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    14. Polinsky, A Mitchell & Shavell, Steven, 1989. "Legal Error, Litigation, and the Incentive to Obey the Law," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 5(1), pages 99-108, Spring.
    15. Klaus Abbink & Bernd Irlenbusch & Elke Renner, 2002. "An Experimental Bribery Game," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 18(2), pages 428-454, October.
    16. Gregory DeAngelo & Gary Charness, 2012. "Deterrence, expected cost, uncertainty and voting: Experimental evidence," Journal of Risk and Uncertainty, Springer, vol. 44(1), pages 73-100, February.
    17. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344, December.
    18. Matteo Rizzolli & Luca Stanca, 2012. "Judicial Errors and Crime Deterrence: Theory and Experimental Evidence," Journal of Law and Economics, University of Chicago Press, vol. 55(2), pages 311-338.
    19. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    20. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    21. Menusch Khadjavi, 2015. "On the Interaction of Deterrence and Emotions," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 31(2), pages 287-319.
    22. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    23. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    24. Craswell, Richard & Calfee, John E, 1986. "Deterrence and Uncertain Legal Standards," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 2(2), pages 279-303, Fall.
    25. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344.
    26. Kahan, Marcel, 1989. "Causation and Incentives to Take Care under the Negligence Rule," The Journal of Legal Studies, University of Chicago Press, vol. 18(2), pages 427-447, June.
    27. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
    28. repec:cup:judgdm:v:7:y:2012:i:1:p:25-47 is not listed on IDEAS
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    More about this item

    Keywords

    legal uncertainty; vague legal standard; overcompliance and undercompliance; experimental law and economics; compliance crowding-out;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • K10 - Law and Economics - - Basic Areas of Law - - - General (Constitutional Law)

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