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A bargaining experiment with asymmetric institutions and preferences

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Abstract

We report results from a laboratory experiment on strategic bargaining with indivisibilities studying the role of asymmetries, both in preferences and institutions. We find that subjects do not fully grasp the equilibrium effects asymmetries have on bargaining power and identify how subjects’ observed behavior systematically deviates from theoretical predictions. The deviations are especially pronounced in case of asymmetric institutions which are modelled as probabilities of being the proposer. Additionally, in contrast to previous experimental work, we observe larger than predicted proposer power since subjects frequently propose and accept their second-preferred option. Quantal response equilibrium and risk aversion explain behavior whenever probabilities are symmetric, but less so when asymmetric. We propose the ‘recognition is power’ heuristic which equates bargaining power with recognition probabilities to explain these findings.

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Notes

  1. With three alternatives called A, B and C, Condorcet cycles under majority voting feature either A beats B, B beats C and C beats A, or the opposite sequence. Condorcet cycles rule out Condorcet winners and preserve the essence of no Condorcet winner in perfectly divisible divide-the-dollar bargaining.

  2. See McKelvey (1991), Fréchette et al. (2003, 2005a, b), and Diermeier and Morton (2005) for other experiments on strategic bargaining. Palfrey (2015) discusses experiments on bargaining in general.

  3. This setup is strategically equivalent to selecting one player as the random proposer and also has several advantages. It keeps subjects engaged, all subjects have the same incentives in submitting their proposals as compared to a randomly selected proposer and more data on proposals are obtained.

  4. This implements the voting procedure in Herings and Houba (2016), who show that sequential voting eliminates the equilibrium in weakly-dominated strategies where both voters vote in favor of the proposal believing that the other will vote ‘yes’. This reduction in equilibrium multiplicity has to be traded-off against a loss of data since we do not observe how the second voter would have voted when being non-pivotal. However, it is not clear how informative a non-pivotal vote is since such a vote has no impact on the outcome. Furthermore, the fact that subjects almost never accepted their least preferred option suggests that subjects understood the incentives they faced.

  5. The mechanism underlying the mixed strategies in SymPayAsymRec and AsymPayAsymRec is very similar and omitted.

  6. For screenshots of the interface as well as the text of the instructions and the summary handout, see Appendix F.

  7. 148 of the 225 participants were students in business or economics.

  8. They are informed that there will be three parts in the experiment but not what these parts will entail.

  9. This does not have any effect on the equilibrium predictions, provided the risk-neutrality also holds at this payoff level.

  10. Subjects were simply told that they would be rematched with other participants.

  11. The larger number of subjects in treatment SymPaySymRec is due to an oversight where one session that was supposed to be AsymPaySymRec was run as SymPaySymRec instead. This error was noticed immediately and was made up for by running a session of AsymPaySymRec the next day.

  12. Indeed, in line with theory players almost never proposed their worst option (14 out of 2697 decisions) and rarely accepted it (6 out of 173 decisions) and these frequencies do not vary much by treatment. Furthermore, a player almost never rejected her best option (1 out of 57 decisions).

  13. Unless mentioned otherwise all p values are taken from a logit regression with proposing (accepting) the middle option as dependent variable and standard errors clustered at the matching group level. All regression results are reported in Appendix C.

  14. The difference between players 1 and 2 is significant at the 1%-level while the difference 1–3 gives a p value of 0.08.

  15. In Appendix D, we investigate to what degree subjects’ behavior can be explained by them best-responding to the other players’ observed behavior in each independent matching group. The conclusions from this analysis are similar to the discussion in this section.

  16. We also considered level-k (Nagel 1995; Stahl and Wilson 1995) as a way of modelling bounded rationality but level-k is unable to explain observed behavior.

  17. An analysis of decision-making at the individual level shows no systematic or substantial influence of risk-aversion and gender on behavior. Detailed results of this analysis are presented in Appendix C.

  18. In Appendix B we present the underlying model specification.

References

  • Baron D, Ferejohn J (1989) Bargaining in Legislatures. Am Polit Sci Rev 83:1181–1206

    Article  Google Scholar 

  • Battaglini M, Palfrey T (2012) The dynamics of distributive politics. Econ Theor 49:739–777

    Article  Google Scholar 

  • Diermeier D, Morton R (2005) Experiments in majoritarian bargaining. Social choice and strategic decisions: essays in honor of Jeffrey S. Banks. Springer, Heidelberg

    Google Scholar 

  • Eckel C, Grossman P (2008) Forecasting risk attitudes: an experimental study using actual and forecast gamble choices. J Econ Behav Organ 68:1–17

    Article  Google Scholar 

  • Engelmann D, Strobel M (2004) Inequality aversion, efficiency, and maximin preferences in simple distribution experiments. Am Econ Rev 94:857–869

    Article  Google Scholar 

  • Frechette G, Kagel J, Lehrer S (2003) Bargaining in legislatures: an experimental investigation of open versus closed amendment rules. Am Polit Sci Rev 97:221–232

    Article  Google Scholar 

  • Fréchette G, Kagel J, Morelli M (2005a) Nominal bargaining power, selection protocol, and discounting in legislative bargaining. J Public Econ 89:1497–1517

    Article  Google Scholar 

  • Fréchette G, Kagel J, Morelli M (2005b) Gamson’s law versus non-cooperative bargaining theory. Games Econ Behav 51:365–390

    Article  Google Scholar 

  • Gächter S, Riedl A (2005) Moral property rights in bargaining with infeasible claims. Manag Sci 51:249–263

    Article  Google Scholar 

  • Gamson W (1961) A theory of coalition formation. Am Sociol Rev 26:373–382

    Article  Google Scholar 

  • Gigerenzer G, Gaissmaier W (2011) Heuristic decision making. Annu Rev Psychol 62:451–482

    Article  Google Scholar 

  • Goeree J, Holt C (2005) An explanation of anomalous behavior in models of political participation. Am Polit Sci Rev 99:201–213

    Article  Google Scholar 

  • Goeree J, Holt C, Palfrey T (2016) Quantal response equilibrium: a stochastic theory of games. Princeton University Press, Princeton

    Book  Google Scholar 

  • Herings P, Houba H (2016) The condorcet paradox revisited. Soc Choice Welf 47:141–186

    Article  Google Scholar 

  • McKelvey R (1991) An experiment test of a stochastic game model of committee bargaining. University of Michigan Press, Ann Arbor

    Google Scholar 

  • McKelvey R, Palfrey T (1995) Quantal response equilibria for normal form games. Games Econ Behav 10:6–38

    Article  Google Scholar 

  • McKelvey R, Palfrey T (1998) Quantal response equilibria for extensive form games. Exp Econ 1:9–41

    Article  Google Scholar 

  • Nagel R (1995) Unraveling in guessing games: an experimental study. Am Econ Rev 85:1313–1326

    Google Scholar 

  • Nunnari S, Zapal J (2016) Gambler’s fallacy and imperfect best response in legislative bargaining. Games Econ Behav 99:275–294

    Article  Google Scholar 

  • Palfrey T (2015) Experiments in political economy. In: Kagel, Roth (eds) The handbook of experimental economics, vol II. Princeton University Press, Princeton

    Google Scholar 

  • Stahl D, Wilson P (1995) On player’s models of other players: theory and experimental evidence. Games Econ Behav 10:218–254

    Article  Google Scholar 

  • Tversky A, Kahneman D (1974) Judgment under uncertainty: heuristics and biases. Science 185:1124–1131

    Article  Google Scholar 

  • Warwick P, Druckman J (2006) The portfolio allocation paradox: an investigation into the nature of a very strong but puzzling relationship. Eur J Polit Res 45:635–665

    Article  Google Scholar 

Download references

Acknowledgments

The authors are very grateful to the Associate Editor and two anonymous reviewers for valuable comments. We also thank Rebecca Morton, Matthew Embrey, Arthur Schram, Simon Siegenthaler, as well as (seminar) participants at the 2015 UECE Lisbon Meetings in Game Theory and Applications, the 2016 NYU Global Network Experimental Social Sciences Workshop, the University of Amsterdam and the Vrije Universiteit Amsterdam. Financial support from the University of Amsterdam Research Priority Area in Behavioral Economics and the Department of Econometrics and OR of the Vrije Universiteit Amsterdam is gratefully acknowledged.

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Correspondence to Aaron Kamm.

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Kamm, A., Houba, H. A bargaining experiment with asymmetric institutions and preferences. Soc Choice Welf 52, 329–351 (2019). https://doi.org/10.1007/s00355-018-1150-4

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