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Experimental Methods in Behavioural Economic Sciences

  • Dominika KorzeniowskaEmail author
  • Łukasz Sułkowski
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

The aim of the chapter is to present, basing on neo-evolutionary paradigm, the types of experimental methods used in behavioural economic sciences supported by research examples. Neo-evolutionary paradigm legitimates incorporation into behavioural economic sciences not only behavioural economics, behavioural finance and behavioural accounting but also neuroeconomics, neurofinance and neuroaccounting. The adoption of the aforementioned approach enables extending the methodological perspective by methods used in natural sciences, including experiment. The research methodology is based on a comprehensive review of the world’s literature on behavioural economics, neuroscience and neo-evolutionism.

Keywords

Experiment Behavioural economics Neuroeconomics Neo-evolutionism 

References

  1. 1.
    Angner, E., Loewenstein, G.: Behavioral economics. In: Thagard, P., Woods, J. (eds.) Handbook of the Philosophy of Science. Elsevier, Amsterdam (2006)Google Scholar
  2. 2.
    Artienwicz, N.: Neurorachunkowość jako potencjalny, ale trudny kierunek rozwoju rachunkowości. Zesz. Teor. Rachun. 82(138), 9–17 (2015)Google Scholar
  3. 3.
    Bąbel, P., Ostaszewski, P.: Współczesna psychologia behawioralna. Wyd UJ, Kraków (2008)Google Scholar
  4. 4.
    Bechara, A., Tranel, D., Damasio, A.R.: The somatic marker hypothesis and decision-making. In: Boller, F., Grafman, J. (eds.) Handbook of Neuropsychology, pp. 117–143. Elsevier, Amsterdam (2002)Google Scholar
  5. 5.
    Belkaoui, A.: Behavioral Accounting: The Research and Practical Issues. Quorum Books (1989)Google Scholar
  6. 6.
    Berg, J., Dickhaut, J., McCabe, K.: Trust, reciprocity and social history. Games Econ. Behav. 10(1), 122–142 (1995)CrossRefGoogle Scholar
  7. 7.
    Bloom, F.: Fundamentals of neuroscience. In: Squire, L., et al. (eds.) Fundamental Neuroscience. Elsevier, San Diego (2008)Google Scholar
  8. 8.
    Brzezicka, J., Wiśniewski, R.: Homo oeconomicus and behavioral economics. Contemp. Econ. 8(4), 353–364 (2014)CrossRefGoogle Scholar
  9. 9.
    Camerer, C.F.: Neuroeconomics: using neuroscience to make economic predictions. Econ. J. 117, C26–C42 (2007)CrossRefGoogle Scholar
  10. 10.
    Camerer, C.F., Cohen, J., Fehr, E., Glimcher, P., Laibson, D.: Neuroeconomics. In: Kagel, J., Roth, R. (eds.) Handbook of Experimental Economics, vol. 2. Princeton University Press, Princeton and Oxford (2015)Google Scholar
  11. 11.
    Camerer, C.F., Loewenstein, G.: Behavioral economics: past, present, future. In: Camerer, C.F., Loewenstein, G., Rabin, M. (eds.) Advances in Behavioral Economics. Princeton University Press, Princeton and Oxford (2004)Google Scholar
  12. 12.
    Crawford, C., Krebs, D.: Foundations of Evolutionary Psychology. Lawrence Erlbaum Associates, Mahwah, NJ (2008)Google Scholar
  13. 13.
    de Waal, F.: Chimpanzee Politics: Sex and Power Among Apes. The Johns Hopkins University Press, Baltimore (1982)Google Scholar
  14. 14.
    Gayathri, T., Ganesan, S.: An analysis of investment decision through neurofinance approach. Int. J. Bus. Insights Transform. 11(2), 80–84 (2018)Google Scholar
  15. 15.
    Gerrig, R.J., Zimbardo, P.G.: Psychology and Life. Allyn & Bacon (2009)Google Scholar
  16. 16.
    Gęsiarz, F.: Po co ekonomom mózgi, czyli o pożytkach z neuroekonomii. Rocz. Kognitywistyczny V, 49–55 (2011)Google Scholar
  17. 17.
    Goodall, J.: Through a Window: My Thirty Years with the Chimpanzees of Gombe. Houghton Mifflin, Boston (1990)Google Scholar
  18. 18.
    Hageman, A.M.: A review of the strengths and weaknesses of archival, behavioral and qualitative research methods: recognizing the potential benefits of triangulation. Adv. Account. Behav. Res. 11, 1–30 (2008)CrossRefGoogle Scholar
  19. 19.
    Harrison, G.W., List, J.A.: Field experiments. J. Econ. Lit. 42, 1009–1055 (2004)CrossRefGoogle Scholar
  20. 20.
    Kable, J.W.: The cognitive neuroscience toolkit for the neuroeconomist: a functional overview. J. Neurosci. Psychol. Econ. 4(2), 63–84 (2011)CrossRefGoogle Scholar
  21. 21.
    Kerlinger, F.N., Lee, H.B.: Foundations of Behavioral Research. Thomson, New York (2000)Google Scholar
  22. 22.
    Kosfeld, M., Heinrichs, M., Zak, P.J., Fischbacher, U., Fehr, E.: Oxytocin increases trust in humans. Nature 435(7042), 673–676 (2005)CrossRefGoogle Scholar
  23. 23.
    Lintner, G.: Behavioral finance why investors make bad decisions. Planner 13(1), 7–8 (1998)Google Scholar
  24. 24.
    List, J.A.: Young, selfish, and male: field evidence of social preferences. Econ. J. 114(492), 121–149 (2004)CrossRefGoogle Scholar
  25. 25.
    Miendlarzewska, E.A., Kometer, M., Preuschoff, K.: Neurofinance. Organ. Res. Methods 1–27 (2017)Google Scholar
  26. 26.
    Mischel, W., Ayduk, O.: Willpower in a cognitive-affective processing system: the dynamics of delay of gratification. In: Baumeister, R.F., Vohs, K.D. (eds.) Handbook of Self-regulation. Research, Theory, and Applications, pp. 99–129. New York (2004)Google Scholar
  27. 27.
    Mohr, P.N.C., Li, S.-C., Heekeren, H.R.: Neuroeconomics and aging: neuromodulation of economic decision making in old age. Neurosci. Biobehav. Rev. 34, 678–688 (2010)CrossRefGoogle Scholar
  28. 28.
    Ricciardi, V., Simon, H.K.: What is behavioral finance? Bus. Educ. Technol. J. 2(2), 1–9 (2000)Google Scholar
  29. 29.
    Setchell, J.M., Curtis, D.J.: Field and Laboratory Methods in Primatology: A Practical Guide. Cambridge University Press, Cambridge (2003)CrossRefGoogle Scholar
  30. 30.
    Shadish, W.R., Cook, T.D., Campbell, D.T.: Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Miffin, Boston (2002)Google Scholar
  31. 31.
    Sharp, C., Monterosso, J., Montague, P.R.: Neuroeconomics: a bridge for translational research. Biol. Psychiat. 72, 87–92 (2012)CrossRefGoogle Scholar
  32. 32.
    Squire, L., Berg, D., Bloom, F.E., du Lac, S., Ghosh, A., Spitzer, N.C. (eds.): Fundamental Neuroscience. Academic Press, Elsevier (2008)Google Scholar
  33. 33.
    Stolecka-Makowska, A., Wolny, R.: Możliwości zastosowania techniki okulograficznej w ilościowych badaniach marketingowych. Stud. Ekon. 195, 197–205 (2014)Google Scholar
  34. 34.
    Sulkowski, L.: Neodarwinism in Organization and Management. PETER LANG, Internationaler Verlag der Wissenschaften (2012)Google Scholar
  35. 35.
    Sulkowski, L., Chmielecki, M.: Application of neuroscience in management. In: Neuroeconomic and Behavioral Aspects of Decision Making, pp. 49–62. Springer, Cham (2017)CrossRefGoogle Scholar
  36. 36.
    Szepietowska, E.M.: Diagnostyka neuropsychologiczna i jej zastosowanie kliniczne. Pol. Przegl. Neurol. 8(3), 107–113 (2012)Google Scholar
  37. 37.
    Tooby, J., Cosmides, L.: Toward mapping the evolved functional organization of mind and brain. In: Gazzaniga, M.S. (ed.) The New Cognitive Neuroscience. MIT Press, Cambridge, MA (2000)Google Scholar
  38. 38.
    Tseng, K.C.: Behavioral finance, bounded rationality, neuro-finance, and traditional finance. Invest. Manag. Financ. Innov. 3(4), 7–18 (2006)Google Scholar
  39. 39.
    Tversky, A., Kahneman, D.: Availability: a heuristics for judging frequency and probability. In: Kahneman, D., Slovic, P., Tversky, A. (eds.) Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press, New York (1982)Google Scholar
  40. 40.
    Urbanik-Papp, G.: Neuroekonomia jako interdyscyplinarne podejście do badania decyzji ekonomicznych. Kult. Polityka 15, 158–172 (2014)Google Scholar
  41. 41.
    Vohs, K., Faber, R.: Spent resources: self-regulatory resource availability affects impulse buying. J. Consumer Res. 33, 537–547 (2007)CrossRefGoogle Scholar
  42. 42.
    Zaleśkiewicz, T.: Neuroekonomia. Decyzje 9, 29–56 (2008)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Społeczna Akademia Nauk w ŁodziŁódźPoland

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