An Experimental Analysis of Asymmetric Power in Conflict Bargaining

Demands and concessions in a multi-stage bargaining process are shaped by the probabilities that each side will prevail in an impasse. Standard game-theoretic predictions are quite sharp: demands are pushed to the precipice with nothing left on the table, but there is no conflict regardless of the degree of power asymmetry. Indeed, there is no delay in reaching an agreement that incorporates the (unrealized) costs of delay and conflict. A laboratory experiment has been used to investigate the effects of power asymmetries on conflict rates in a two-stage bargaining game that is (if necessary) followed by conflict with a random outcome. Observed demands at each stage are significantly correlated with power, as measured by the probability of winning in the event of disagreement. Demand patterns, however, are flatter than theoretical predictions, and conflict occurs in a significant proportion of the interactions, regardless of the degree of the power asymmetry. To address these deviations from the standard game-theoretic predictions, we also estimated a logit quantal response model, which generated the qualitative patterns that are observed in the data. This one-parameter generalization of the Nash equilibrium permits a deconstruction of the strategic incentives that cause demands to be less responsive to power asymmetries than Nash predictions.

[1]  R. Powell Bargaining in the Shadow of Power , 1996, In the Shadow of Power.

[2]  Jacob K. Goeree,et al.  Asymmetric inequality aversion and noisy behavior in alternating-offer bargaining games , 2000 .

[3]  A. Shaked,et al.  A further test of non-cooperative bargaining theory: reply , 1988 .

[4]  J. Fearon Rationalist explanations for war , 1995, International Organization.

[5]  W. Güth,et al.  An experimental analysis of ultimatum bargaining , 1982 .

[6]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[7]  张谷 实验经济学(Experimental Economics)研究思路及成果应用简述 , 1994 .

[8]  Charles A. Holt,et al.  The Nash equilibrium: A perspective , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[9]  J. Jaffray,et al.  Experimental comparison of individual behavior under risk and under uncertainty for gains and for losses , 1987 .

[10]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[11]  Hugo Sonnenschein,et al.  A Further Test of Noncooperative Bargaining Theory: Comment , 1988 .

[12]  Michael Tomz,et al.  Public Opinion and the Democratic Peace , 2013, American Political Science Review.

[13]  L. Samuelson Economic Theory and Experimental Economics , 2005 .

[14]  S. Werner,et al.  Choosing Demands Strategically , 1999 .

[15]  Charles A. Holt,et al.  Regular Quantal Response Equilibrium , 2005 .

[16]  Ken Binmore,et al.  A Backward Induction Experiment , 2002, J. Econ. Theory.

[17]  R. McKelvey,et al.  Quantal Response Equilibria for Normal Form Games , 1995 .

[18]  S. Siegel,et al.  Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.