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Focality And Asymmetry In Multi-Battle Contests, Subhashish M. Chowdhury, Dan Kovenock, David Rojo Arjona, Nathaniel Wilcox
Focality And Asymmetry In Multi-Battle Contests, Subhashish M. Chowdhury, Dan Kovenock, David Rojo Arjona, Nathaniel Wilcox
ESI Working Papers
This article examines behavior in two-person constant-sum Colonel Blotto games in which each player maximizes the expected total value of the battlefields won. A lottery contest success function is employed in each battlefield. Recent experimental research on such games provides only partial support for Nash equilibrium behavior. We hypothesize that the salience of battlefields affects strategic behavior (the salient target hypothesis). We present a controlled test of this hypothesis – against Nash predictions – when the sources of salience come from certain asymmetries in either battlefield values or labels (as in Schelling (1960)). In both cases, subjects over-allocate the resource …
Dynamic Behavior And Player Types In Majoritarian Multi-Battle Contests, Alan Gelder, Dan Kovenock
Dynamic Behavior And Player Types In Majoritarian Multi-Battle Contests, Alan Gelder, Dan Kovenock
ESI Working Papers
In a dynamic contest where it is costly to compete, a player who is behind must decide whether to surrender or to keep fighting in the face of bleak odds. We experimentally examine the game theoretic prediction of last stand behavior in a multi-battle contest with a winning prize and losing penalty, as well as the contrasting prediction of surrendering in the corresponding contest with no penalty. We find varied evidence in support of these hypotheses in the aggregated data, but more conclusive evidence when scrutinizing individual player behavior. Players’ realized strategies tend to conform to one of several “types”. …
Incentivizing Quantity And Quality Of Output: An Experimental Investigation Of The Quantity-Quality Trade-Off, Jared Rubin, Anya Samek, Roman M. Sheremeta
Incentivizing Quantity And Quality Of Output: An Experimental Investigation Of The Quantity-Quality Trade-Off, Jared Rubin, Anya Samek, Roman M. Sheremeta
ESI Working Papers
Firms face an optimization problem that requires a maximal quantity output given a quality constraint. How firms should incentivize quantity and quality to meet these dual goals remains an open question, potentially due to limitations of field data. We provide a theoretical model and conduct an experiment in which participants are paid for both quantity and quality of a real effort task. Consistent with the theoretical predictions, higher quality incentives encourage participants to shift their attention from quantity to quality, and higher quality incentives reduce inefficient decision-making. We also observe behavioral components in responsiveness to the quality incentive.