Experimental Economics

, Volume 20, Issue 1, pp 209–236 | Cite as

Risk preferences under acute stress

Original Paper

Abstract

Many important decisions are made under stress and they often involve risky alternatives. There has been ample evidence that stress influences decision making, but still very little is known about whether individual attitudes to risk change with exposure to acute stress. To directly evaluate the causal effect of psychosocial stress on risk attitudes, we adopt an experimental approach in which we randomly expose participants to a stressor in the form of a standard laboratory stress-induction procedure: the Trier Social Stress Test for Groups. Risk preferences are elicited using a multiple price list format that has been previously shown to predict risk-oriented behavior out of the laboratory. Using three different measures (salivary cortisol levels, heart rate and multidimensional mood questionnaire scores), we show that stress was successfully induced on the treatment group. Our main result is that for men, the exposure to a stressor (intention-to-treat effect, ITT) and the exogenously induced psychosocial stress (the average treatment effect on the treated, ATT) significantly increase risk aversion when controlling for their personal characteristics. The estimated treatment difference in certainty equivalents is equivalent to 69 % (ITT) and 89 % (ATT) of the gender-difference in the control group. The effect on women goes in the same direction, but is weaker and insignificant.

Keywords

Risk preferences Risk aversion Stress Laboratory stressor Trier social stress test Cortisol 

JEL Classification

C91 D03 D81 D87 

Supplementary material

10683_2016_9482_MOESM1_ESM.docx (120 kb)
Supplementary material 1 (DOC 121 kb)
10683_2016_9482_MOESM2_ESM.pdf (2 mb)
Supplementary material 2 (PDF 2001 kb)

References

  1. Allen, A. P., Kennedy, P. J., Cryan, J. F., Dinan, T. G., & Clarke, G. (2014). Biological and psychological markers of stress in humans: Focus on the trier social stress test. Neuroscience and Biobehavioral Reviews, 38, 94–124.CrossRefGoogle Scholar
  2. Andersen, S., Harrison, G. W., Lau, M. I., & Rutström, E. E. (2006). Elicitation using multiple price list formats. Experimental Economics, 9(4), 383–405.CrossRefGoogle Scholar
  3. Anderson, L. R., & Holt, C. A. (1997). Information cascades in the laboratory. The American Economic Review, 87(5), 847–862.Google Scholar
  4. Ariely, D., Gneezy, U., Loewenstein, G., & Mazar, N. (2009). Large stakes and big mistakes. Review of Economic Studies, 76(2), 451–469.CrossRefGoogle Scholar
  5. Baum, A., & Grunberg, N. E. (1997). Measuring stress hormones. In S. Cohen, R. C. Kessler, & L. U. Gordon (Eds.), Measuring stress: A guide for health and social scientists, chapter 8 (pp. 175–192). Oxford, UK: Oxford University Press.Google Scholar
  6. Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886–1898.CrossRefGoogle Scholar
  7. Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7–15.CrossRefGoogle Scholar
  8. Becker, A., Deckers, T., Dohmen, T., Falk, A., & Kosse, F. (2012). The Relationship Between Economic Preferences and Psychological Personality Measures. Annual Review of Economics, 4(1), 453–478.CrossRefGoogle Scholar
  9. Becker, G. M., DeGroot, M., & Marschak, J. (1964). Measuring utility by a single response sequential method. Behavioral science, 9(3), 226–232.CrossRefGoogle Scholar
  10. Borghans, L., Duckworth, A., Heckman, J., & ter Weel, B. (2008). The economics and psychology of personality traits. Journal of Human Resources, 43(4), 972–1059.Google Scholar
  11. Buckert, M., Schwieren, C., Kudielka, B. M., & Fiebach, C. J. (2014). Acute stress affects risk taking but not ambiguity aversion. Frontiers in Neuroscience, 8(May), 82.Google Scholar
  12. Callen, M., Isaqzadeh, M., Long, J. D., & Sprenger, C. (2014). Violence and risk preference: Experimental evidence. The American Economic Review, 104(1), 123–148.CrossRefGoogle Scholar
  13. Cameron, L., Erkal, N., Gangadharan, L., & Zhang, M. (2015). Cultural integration: Experimental evidence of convergence in immigrants preferences. Journal of Economic Behavior and Organization, 111, 38–58.CrossRefGoogle Scholar
  14. Capra, C. M., Jiang, B., Engelmann, J. B., & Berns, G. S. (2013). Can personality type explain heterogeneity in probability distortions? Journal of Neuroscience, Psychology, and Economics, 6(3), 151–166.CrossRefGoogle Scholar
  15. Cassar, A., Healy, A., & Von Kessler, C. (2011). Trust, risk, and time preferences after a natural disaster: Experimental evidence from Thailand. New York: Mimeo.Google Scholar
  16. Charness, G., & Gneezy, U. (2012). Strong evidence for gender differences in risk taking. Journal of Economic Behavior & Organization, 83(1), 50–58.CrossRefGoogle Scholar
  17. Chemin, M., Laat, J. D., & Haushofer, J. (2013). Negative rainfall shocks increase levels of the stress hormone cortisol among poor farmers in kenya. New York: Mimeo.Google Scholar
  18. Clow, A. (2001). The physiology of stress. In F. Jones & J. Bright (Eds.), Stress, myth, theory, and research (pp. 47–61). Harlow: Pearson Education.Google Scholar
  19. Coates, J. M., & Herbert, J. (2008). Endogenous steroids and financial risk taking on a London trading floor. Proceedings of the National Academy of Sciences of the United States of America, 105(16), 6167–72.CrossRefGoogle Scholar
  20. Cohn, A., Engelmann, J., & Fehr, E. (2015). Evidence for countercyclical risk aversion : An experiment with financial professionals. The American Economic Review, 105(2), 860–885.CrossRefGoogle Scholar
  21. Cornelisse, S., van Ast, V. A., Haushofer, J., Seinstra, M. S., Kindt, M., & Joëls, M. (2013). Time-dependent effect of hydrocortisone administration on intertemporal choice. New York: Mimeo.Google Scholar
  22. Costa, J. P. T., & McCrae, R. R. (1992). Normal personality assessment in clinical practice: The NEO personality inventory. Psychological Assessment, 4(1), 5–13.CrossRefGoogle Scholar
  23. Croson, R., & Gneezy, U. (2009). Gender differences in preferences. Journal of Economic Literature, 47(2), 448–474.CrossRefGoogle Scholar
  24. Deck, C., Lee, J., Reyes, J. (2010). Personality and the consistency of risk taking behavior: Experimental evidence. Chapman Univesity Working Paper, (10–17).Google Scholar
  25. Deck, C., Lee, J., Reyes, J., & Rosen, C. (2012). Risk-taking behavior: An experimental analysis of individuals and Dyads. Southern Economic Journal, 79(2), 277–299.CrossRefGoogle Scholar
  26. Dedovic, K., Rexroth, M., Wolff, E., Duchesne, A., Scherling, C., Beaudry, T., et al. (2009). Neural correlates of processing stressful information: An event-related fMRI study. Brain research, 1293, 49–60.CrossRefGoogle Scholar
  27. Dickerson, S. S., & Kemeny, M. E. (2004). Acute stressors and cortisol responses: A theoretical integration and synthesis of laboratory research. Psychological Bulletin, 130(3), 355–391.CrossRefGoogle Scholar
  28. Dohmen, T. (2008). Do professionals choke under pressure? Journal of Economic Behavior and Organization, 65(3–4), 636–653.CrossRefGoogle Scholar
  29. Dohmen, T., & Falk, A. (2011). Performance pay and multidimensional sorting: Productivity, preferences, and gender. The American Economic Review, 101(2), 556–590.CrossRefGoogle Scholar
  30. Dohmen, T., Falk, A., Huffman, D., & Sunde, U. (2010). Are risk aversion and impatience related to cognitive ability? The American Economic Review, 100(3), 1238–1260.CrossRefGoogle Scholar
  31. Eckel, C. C., El-Gamal, M. A., & Wilson, R. K. (2009). Risk loving after the storm: A Bayesian-Network study of Hurricane Katrina evacuees. Journal of Economic Behavior and Organization, 69(2), 110–124.CrossRefGoogle Scholar
  32. Fischbacher, U. (2007). Z-TREE: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10(2), 171–178.CrossRefGoogle Scholar
  33. Foley, P., & Kirschbaum, C. (2010). Human hypothalamus-pituitary-adrenal axis responses to acute psychosocial stress in laboratory settings. Neuroscience & Biobehavioral Reviews, 35(1), 91–96.CrossRefGoogle Scholar
  34. Goldberg, L. R., Johnson, J. A., Eber, H. W., Hogan, R., Ashton, M. C., Cloninger, C. R., & Gough, H. G. (2006). The international personality item pool and the future of public-domain personality measures. Journal of Research in Personality, 40(1), 84–96. doi:10.1016/j.jrp.2005.08.007.CrossRefGoogle Scholar
  35. Goldstein, D. S., & McEwen, B. S. (2002). Allostasis, homeostats, and the nature of stress. Stress, 5(1), 55–58.CrossRefGoogle Scholar
  36. Greiner, B. (2004). An online recruitment system for economic experiments. In K. Kremer & V. Macho (Eds.), Forschung und wissenschaftliches Rechnen GWDG Bericht. Göttingen: Gesellschaft fur Wissenschaftliche Datenverarbeitung.Google Scholar
  37. Guiso, L., & Paiella, M. (2008). Risk aversion, wealth, and background risk. Journal of the European Economic Association, 6(6), 1109–1150.CrossRefGoogle Scholar
  38. Guiso, L., Sapienza, P., Zingales, L. (2013). Time varying risk aversion. NBER Working Paper #19284.Google Scholar
  39. Haushofer, J., Cornelisse, S., Seinstra, M., Fehr, E., Joëls, M., & Kalenscher, T. (2013). No effects of psychosocial stress on intertemporal choice. PLoS One, 8(11), e78597.CrossRefGoogle Scholar
  40. Haushofer, J., & Fehr, E. (2014). On the psychology of poverty. Science, 344(6186), 862–867.CrossRefGoogle Scholar
  41. Haushofer, J., & Shapiro, J. (2013). Household response to income changes : Evidence from an unconditional cash transfer program in Kenya. Cambridge: Massachusetts Institute of Technology.Google Scholar
  42. Heckman, J. (2011). Integrating personality psychology into economics. National Bureau of Economic Research Working Paper Series, No. 17378.Google Scholar
  43. Holt, C. A., & Laury, S. K. (2002). Risk aversion and incentive effects. The American Economic Review, 92(5), 1644–1655.CrossRefGoogle Scholar
  44. Kajantie, E., & Phillips, D. I. W. (2006). The effects of sex and hormonal status on the physiological response to acute psychosocial stress. Psychoneuroendocrinology, 31(2), 151–178.CrossRefGoogle Scholar
  45. Kandasamy, N., Hardy, B., Page, L., Schaffner, M., Graggaber, J., Powlson, A. S., et al. (2014). Cortisol shifts financial risk preferences. Proceedings of the National Academy of Sciences of the United States of America, 111(9), 3608–13.CrossRefGoogle Scholar
  46. Kaul, A., & Sapp, S. (2006). Y2K fears and safe haven trading of the U.S. dollar. Journal of International Money and Finance, 25(5), 760–779.CrossRefGoogle Scholar
  47. Kemeny, M. E. (2003). The psychobiology of stress. Current Directions in Psychological Science, 12(4), 124–129.CrossRefGoogle Scholar
  48. Kirschbaum, C., Kudielka, B. M., Gaab, J., Schommer, N. C., & Hellhammer, D. H. (1999). Impact of gender, menstrual cycle phase, and oral contraceptives on the activity of the hypothalamus-pituitary-adrenal axis. Psychosomatic Medicine, 61(2), 154–62.CrossRefGoogle Scholar
  49. Kirschbaum, C., Pirke, K. M., & Hellhammer, D. H. (1993). The “Trier Social Stress Test”—A tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology, 28(1–2), 76–81.Google Scholar
  50. Kudielka, B. M., Hellhammer, D. H., & Wüst, S. (2009). Why do we respond so differently? Reviewing determinants of human salivary cortisol responses to challenge. Psychoneuroendocrinology, 34(1), 2–18.CrossRefGoogle Scholar
  51. Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., et al. (2002). Evaluation of a behavioral measure of risk taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8(2), 75–84.Google Scholar
  52. Lighthall, N. R., Mather, M., & Gorlick, M. A. (2009). Acute stress increases sex differences in risk seeking in the balloon analogue risk task. PLoS One, 4(7), e6002.CrossRefGoogle Scholar
  53. Malmendier, U., & Nagel, S. (2011). Depression babies: Do macroeconomic experiences affect risk taking? The Quarterly Journal of Economics, 126(1), 373–416.CrossRefGoogle Scholar
  54. Michl, T., Koellinger, P., Picot, A. O. (2011). In the mood for risk? An experiment on moods and risk preferences. Ludwig-Maximilians University Working Paper Series.Google Scholar
  55. Miller, R., Plessow, F., Kirschbaum, C., & Stalder, T. (2013). Classification criteria for distinguishing cortisol responders from nonresponders to psychosocial stress: evaluation of salivary cortisol pulse detection in panel designs. Psychosomatic Medicine, 75(10), 832–840.CrossRefGoogle Scholar
  56. Nguyen, Y., & Noussair, C. (2014). Risk aversion and emotions. Pacific Economic Review, 19(3), 296–312.CrossRefGoogle Scholar
  57. Oberlechner, T., & Nimgade, A. (2005). Work stress and performance among financial traders. Stress and Health, 21(5), 285–293.CrossRefGoogle Scholar
  58. Pabst, S., Brand, M., & Wolf, O. T. (2013a). Stress and decision making: A few minutes make all the difference. Behavioural Brain Research, 250, 39–45.CrossRefGoogle Scholar
  59. Pabst, S., Brand, M., & Wolf, O. T. (2013b). Stress effects on framed decisions: there are differences for gains and losses. Frontiers in Behavioral Neuroscience, 7, 142.CrossRefGoogle Scholar
  60. Petzold, A., Plessow, F., Goschke, T., & Kirschbaum, C. (2010). Stress reduces use of negative feedback in a feedback-based learning task. Behavioral Neuroscience, 124(2), 248–255.CrossRefGoogle Scholar
  61. Porcelli, A. J., & Delgado, M. R. (2009). Acute stress modulates risk taking in financial decision making. Psychological Science, 20(3), 278–283.CrossRefGoogle Scholar
  62. Roodman, D. (2015). CMP: Stata module to implement conditional (recursive) mixed process estimator. Statistical software components. https://ideas.repec.org/c/boc/bocode/s456882.html
  63. Schipper, B. (2012). Sex hormones and choice under risk, No. 12, 7. Working Papers, Department of Economics, University of California. http://www.econstor.eu/handle/10419/58361
  64. Starcke, K., & Brand, M. (2012). Decision making under stress: A selective review. Neuroscience and biobehavioral reviews, 36(4), 1228–1248.CrossRefGoogle Scholar
  65. Starcke, K., Wolf, O. T., Markowitsch, H. J., & Brand, M. (2008). Anticipatory stress influences decision making under explicit risk conditions. Behavioral Neuroscience, 122(6), 1352–1360.CrossRefGoogle Scholar
  66. Steyer, R., Schwenkmezger, P., Notz, P., & Eid, M. (1997). MDBF-Mehrdimensionaler Befindlichkeitsfragebogen. Göttingen: Hogrefe.Google Scholar
  67. Taylor, S. E., Klein, L. C., Lewis, B. P., Gruenewald, T. L., Gurung, R. A. R., & Updegraff, J. A. (2000). Biobehavioral responses to stress in females: Tend-and-befriend, not fight-or-flight. Psychological Review, 107(3), 411.CrossRefGoogle Scholar
  68. United Nations. (2015). The millennium development goals report. Technical Report, United Nations, New YorkGoogle Scholar
  69. Upper, C. (2000). How Safe Was the“Safe Haven” ? Financial Market Liquidity during the 1998 Turbulences. Discussion paper, Economic Research Group of the Deutsche Bundesbank, 1(February).Google Scholar
  70. van den Bos, R., Harteveld, M., & Stoop, H. (2009). Stress and decision-making in humans: Performance is related to cortisol reactivity, albeit differently in men and women. Psychoneuroendocrinology, 34(10), 1449–1458.CrossRefGoogle Scholar
  71. Vieider, F. M., Lefebvre, M., Bouchouicha, R., Chmura, T., Hakimov, R., Krawczyk, M., et al. (2014). Common components of risk and uncertainty attitudes across contexts and domains: Evidence from 30 countries. Journal of the European Economic Association, 13, 1–32.Google Scholar
  72. von Dawans, B., Fischbacher, U., Kirschbaum, C., Fehr, E., & Heinrichs, M. (2012). The social dimension of stress reactivity: Acute stress increases prosocial behavior in humans. Psychological Science, 23(6), 651–660.CrossRefGoogle Scholar
  73. von Dawans, B., Kirschbaum, C., & Heinrichs, M. (2011). The trier social stress test for groups (TSST-G): A new research tool for controlled simultaneous social stress exposure in a group format. Psychoneuroendocrinology, 36(4), 514–522.CrossRefGoogle Scholar
  74. Voors, M. J., Nillesen, E. E. M., Verwimp, P., Bulte, E. H., Lensink, R., & Soest, D. P. V. (2012). Violent conflict and behavior: A field experiment in Burundi. The American Economic Review, 102(2), 941–964.CrossRefGoogle Scholar
  75. Yesuf, M., & Bluffstone, R. A. (2009). Poverty, risk aversion, and path dependence in low-income countries: Experimental evidence from Ethiopia. American Journal of Agricultural Economics, 91(4), 1022–1037.CrossRefGoogle Scholar
  76. Young, E. A., Abelson, J., & Lightman, S. L. (2004). Cortisol pulsatility and its role in stress regulation and health. Frontiers in Neuroendocrinology, 25, 69–76.CrossRefGoogle Scholar

Copyright information

© Economic Science Association 2016

Authors and Affiliations

  1. 1.Department of Public EconomicsMax Planck Institute for Tax Law and Public FinanceMunichGermany
  2. 2.CERGE-EI, a joint workplace of Charles University in Prague and the Economics Institute of the Czech Academy of SciencesPragueCzech Republic
  3. 3.Faculty of Social Sciences, Institute of Economic StudiesCharles University in PraguePrague 1Czech Republic
  4. 4.Department of Institutional, Environmental and Experimental Economics, Faculty of EconomicsUniversity of Economics in PraguePragueCzech Republic

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