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Elicitation effects in a multi-stage bargaining experiment

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Abstract

We examine elicitation effects in a multi-stage bargaining experiment with escalating stakes conducted under direct-response and strategy-method elicitation. We find a significantly greater incidence of decisions leading to bargaining failure under direct responses. In addition, the predictive power of alternative risk attitude measures differs between the elicitation methods. Potential sources of the effects and resulting implications are discussed.

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Notes

  1. Thanks to an anonymous referee for pointing out this possibility.

  2. Additional pure strategies exist if we also consider those which specify actions for nodes which can never be reached by virtue of previous decisions. We do not consider these in the following as they are behaviourally equivalent (i.e. generate identical payoffs) to the ones we are considering.

  3. Measured risk attitudes may differ between subjects either due to underlying preferences which the instruments are meant to measure or due to bias from the individually experienced game outcome. To disentangle the two we need to control for stage as risk appetite may influence progression in the game. We compared stated risk preferences of subjects who were observed to take the same decision in a given stage but experienced a different action by their co-player. This test was repeated for every stage, for both risk measures and both elicitation methods.

  4. Each payoff point received was paid out at 1 RMB. At the time of the experiment, 1 RMB traded at 0.146 US $. In the area of China where the experiment was performed, students typically earn around 8 RMB an hour for casual work.

  5. We report Fisher exact 2-tail p-values in this section unless stated otherwise. The results are robust with respect to using χ 2-tests.

  6. We used the ordered Probit estimation method for all regressions reported in this section. All the results are robust with respect to using Tobit.

  7. In their meta-analysis of elicitation effects, experiments are classified as (a) either involving or not involving emotion or multiple stages and (b) showing either evidence, mixed or no evidence for elicitation effects. Two-tail χ 2-tests are then performed to examine whether the two groups in terms of (a) have different distributions over (b).

  8. Comparing hot and cold behaviour in terms of quantal responses is hampered by the fact that the former involves error at the level of each stage, and the latter at the level of the five reduced strategies (McKelvey and Palfrey 1998, p. 10).

  9. “When a response is produced solely by the [experiential] system, a person is conscious only of the result of the computation, not the process […] The result is accessible, but the process is not. In contrast, a person is aware of both the result and the process in a rule-based computation” (Sloman 1996, p. 6).

  10. See Charness et al. (2013) for a comparative overview of different risk preference elicitation methods.

References

  • Allred, K. G., Mallozzi, J. S., Matsui, F., & Raia, C. P. (1997). The influence of anger and compassion on negotiation performance. Organizational Behavior and Human Decision Processes, 70, 175–187.

    Article  Google Scholar 

  • Barry, B., Fulmer, I. S., & Van Kleef, G. A. (2004). I laughed, I cried, I settled: the role of emotions in negotiations. In M. J. Gelfand & J. M. Brett (Eds.), The handbook of negotiation and culture (pp. 71–94). Stanford: Stanford University Press.

    Google Scholar 

  • Bohnet, I., Greig, F., Herrmann, B., & Zeckhauser, R. (2008). Betrayal aversion: evidence from Brazil, China, Switzerland, Turkey, the United Emirates and the United States. The American Economic Review, 98(1), 294–310.

    Article  Google Scholar 

  • Bornstein, G., Schram, A., & Sonnemans, J. (2004). Do democracies breed chickens? In R. Suleiman, D. Budescu, I. Fischer, & D. Messick (Eds.), Contemporary psychological research on social dilemmas (pp. 248–268). Cambridge: Cambridge University Press.

    Google Scholar 

  • Brandstätter, H., & Königstein, M. (2001). Personality influences on ultimatum bargaining decisions. European Journal of Personality, 15, S53–S70.

    Article  Google Scholar 

  • Brandts, J., & Charness, G. (2000). Hot vs. cold: sequential responses in simple experimental games. Experimental Economics, 2(3), 227–238.

    Google Scholar 

  • Brandts, J., & Charness, G. (2011). The strategy versus the direct-response method: a first survey of experimental comparisons. Experimental Economics, 14(3), 375–398.

    Article  Google Scholar 

  • Buchan, N. R., Croson, R. T. A., & Dawes, R. M. (2002). Swift neighbors and persistent strangers: a cross-cultural investigation of trust and reciprocity in social exchange. American Journal of Sociology, 108(1), 168–206.

    Article  Google Scholar 

  • Buchan, N. R., Johnson, E. J., & Croson, R. T. A. (2006). Let’s get personal: an international examination of the influence of communication, culture and social distance on other regarding preference. Journal of Economic Behavior & Organization, 3, 373–398.

    Article  Google Scholar 

  • Camerer, C. (2003). Behavioral game theory: experiments in strategic interaction. Princeton: Princeton University Press.

    Google Scholar 

  • Campos, J., Ericsson, N. R., & Hendry, D. F. (2005). General-to-specific modelling. Cheltenham Glos: Edward Elgar.

    Google Scholar 

  • Charness, G., Gneezy, U., & Imas, A. (2013). Experimental methods: eliciting risk preferences. Journal of Economic Behavior & Organization, 87, 43–51.

    Article  Google Scholar 

  • Chuah, S. H., Hoffmann, R., Jones, M., & Williams, G. (2007). Do cultures clash? Evidence from cross-national ultimatum game experiments. Journal of Economic Behavior & Organization, 64(1), 35–48.

    Article  Google Scholar 

  • Chuah, S. H., Hoffmann, R., Jones, M. K., & Williams, G. A. (2009). An economic anatomy of culture: attitudes and behaviour in inter- and intra-national ultimatum game experiments. Journal of Economic Psychology, 30(5), 732–744.

    Article  Google Scholar 

  • Cooper, D. J., Kagel, J. H., Lo, W., & Gu, Q. L. (1999). Gaming against managers in incentive systems: experimental results with Chinese students and Chinese managers. The American Economic Review, 89(4), 781–804.

    Article  Google Scholar 

  • de Heus, P., Hoogervost, N., & van Dijk, E. (2010). Framing prisoners and chickens: valence effects in the prisoner’s dilemma and the chicken game. Journal of Experimental Social Psychology, 46, 736–742.

    Article  Google Scholar 

  • Dohmen, T., Falk, A., Huffman, D., Sunde, U., Schupp, J., & Wagner, G. G. (2011). Individual risk attitudes: measurement, determinants and behavioral consequences. Journal of the European Economic Association, 9(3), 522–550.

    Article  Google Scholar 

  • Engelmann, D., & Steiner, J. (2007). The effects of risk preferences in mixed-strategy equilibria of 2×2 games. Games and Economic Behavior, 60, 381–388.

    Article  Google Scholar 

  • Fan, C. P. (2000). Teaching children cooperation—an application of experimental game theory. Journal of Economic Behavior & Organization, 41, 191–209.

    Article  Google Scholar 

  • Fischbacher, U. (2007). z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10(2), 171–178.

    Article  Google Scholar 

  • Glasl, F. (1982). The process of conflict escalation and roles of third parties. In G. B. J. Bomers & R. B. Peterson (Eds.), Conflict management and industrial relations (pp. 119–140). Boston: Kluwer Academic.

    Chapter  Google Scholar 

  • Hemesath, M. (1994). Cooperate or defect? Russian and American students in a prisoner’s dilemma. Comparative Economic Studies, 36(1), 83–93.

    Google Scholar 

  • Herrmann, B., Thöni, C., & Gächter, S. (2008). Antisocial punishment across societies. Science, 319, 1362–1367.

    Article  Google Scholar 

  • Hoffmann, R., & Tee, J. Y. (2006). Adolescent-adult interactions and culture in the ultimatum game. Journal of Economic Psychology, 27(1), 98–116.

    Article  Google Scholar 

  • Holt, C. A., & Laury, S. K. (2002). Risk aversion and incentive effects. The American Economic Review, 92(5), 1644–1655.

    Article  Google Scholar 

  • Kachelmeier, S. J., & Shehata, M. (1992). Culture and competition: a laboratory market competition between China and the West. Journal of Economic Behavior & Organization, 19(2), 145–168.

    Article  Google Scholar 

  • Lönnqvist, J. E., Verkasalo, M., Walkowitz, G., & Wichardt, P. C. (2011). Measuring individual risk attitudes in the lab: task or ask? An empirical comparison (Working paper). May 22, 2010.

  • Maynard Smith, J. (1974). Theory of games and the evolution of animal contests. Journal of Theoretical Biology, 47, 209–221.

    Article  Google Scholar 

  • McKelvey, R. D., & Palfrey, R. T. (1998). Quantal response equilibria for extensive form games. Experimental Economics, 1(1), 9–41.

    Google Scholar 

  • Pruitt, D. G., & Kim, S. H. (2003). Social conflict: escalation, stalemate, and settlement (3rd ed.). New York: McGraw-Hill.

    Google Scholar 

  • Roth, A. E. (1995). Bargaining experiments. In J. H. Kagel & A. E. Roth (Eds.), The handbook of experimental economics (pp. 253–348). Princeton: Princeton University Press.

    Google Scholar 

  • Rubinstein, A. (1982). Perfect equilibrium in a bargaining model. Econometrica, 50(1), 97–109.

    Article  Google Scholar 

  • Shubik, M. (1971). The dollar auction game: a paradox in noncooperative behavior and escalation. The Journal of Conflict Resolution, 15(1), 109–111.

    Article  Google Scholar 

  • Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological Bulletin, 119(1), 3–22.

    Article  Google Scholar 

  • Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2004). Risk as analysis and risk as feelings: some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24(2), 311–322. 2004.

    Article  Google Scholar 

  • Thompson, L., Neale, M., & Sinaceur, M. (2004). The evolution of cognition and biases in negotiation research. In M. J. Gelfand & J. M. Brett (Eds.), The handbook of negotiation and culture (pp. 7–44). Stanford: Stanford University Press.

    Google Scholar 

  • van Gelder, J. L., de Vries, R. E., & van der Pligt, J. (2009). Evaluating a dual-process model of risk: affect and cognition as determinants of risky choice. Journal of Behavioral Decision Making, 22(1), 45–61.

    Article  Google Scholar 

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Correspondence to Robert Hoffmann.

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Chuah, SH., Hoffmann, R. & Larner, J. Elicitation effects in a multi-stage bargaining experiment. Exp Econ 17, 335–345 (2014). https://doi.org/10.1007/s10683-013-9370-z

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