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Authors = Alvin E. Roth

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40 pages, 2545 KB  
Article
Unraveling Results from Comparable Demand and Supply: An Experimental Investigation
by Muriel Niederle, Alvin E. Roth and M. Utku Ünver
Games 2013, 4(2), 243-282; https://doi.org/10.3390/g4020243 - 19 Jun 2013
Cited by 11 | Viewed by 9966
Abstract
Markets sometimes unravel, with offers becoming inefficiently early. Often this is attributed to competition arising from an imbalance of demand and supply, typically excess demand for workers. However this presents a puzzle, since unraveling can only occur when firms are willing to make [...] Read more.
Markets sometimes unravel, with offers becoming inefficiently early. Often this is attributed to competition arising from an imbalance of demand and supply, typically excess demand for workers. However this presents a puzzle, since unraveling can only occur when firms are willing to make early offers and workers are willing to accept them. We present a model and experiment in which workers’ quality becomes known only in the late part of the market. However, in equilibrium, matching can occur (inefficiently) early only when there is comparable demand and supply: a surplus of applicants, but a shortage of high quality applicants. Full article
(This article belongs to the Special Issue Games and Matching Markets)
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20 pages, 671 KB  
Article
A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction
by Eyal Ert, Ido Erev and Alvin E. Roth
Games 2011, 2(3), 257-276; https://doi.org/10.3390/g2030257 - 25 Jul 2011
Cited by 17 | Viewed by 11977
Abstract
Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games (http://sites.google.com/site/extformpredcomp/): one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The competitions [...] Read more.
Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games (http://sites.google.com/site/extformpredcomp/): one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The competitions are based on an estimation experiment and a competition experiment. The two experiments use the same methods and subject pool, and examine games randomly selected from the same distribution. The current introductory paper presents the results of the estimation experiment, and clarifies the descriptive value of some baseline models. The best baseline model assumes that each choice is made based on one of several rules. The rules include: rational choice, level-1 reasoning, an attempt to maximize joint payoff, and an attempt to increase fairness. The probability of using the different rules is assumed to be stable over games. The estimated parameters imply that the most popular rule is rational choice; it is used in about half the cases. To participate in the competitions, researchers are asked to email the organizers models (implemented in computer programs) that read the incentive structure as input, and derive the predicted behavior as an output. The submission deadline is 1 December 2011, the results of the competition experiment will not be revealed until that date. The submitted models will be ranked based on their prediction error. The winners of the competitions will be invited to write a paper that describes their model. Full article
(This article belongs to the Special Issue Predicting Behavior in Games)
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5 pages, 94 KB  
Correction
Erev, I. et al. A Choice Prediction Competition for Market Entry Games: An Introduction. Games 2010, 1, 117-136
by Ido Erev, Eyal Ert and Alvin E. Roth
Games 2010, 1(3), 221-225; https://doi.org/10.3390/g1030221 - 21 Jul 2010
Cited by 1 | Viewed by 9698
Abstract
Ion Juvina found an error in our manuscript published in Games. [...] Full article
(This article belongs to the Special Issue Predicting Behavior in Games)
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20 pages, 148 KB  
Article
A Choice Prediction Competition for Market Entry Games: An Introduction
by Ido Erev, Eyal Ert and Alvin E. Roth
Games 2010, 1(2), 117-136; https://doi.org/10.3390/g1020117 - 14 May 2010
Cited by 89 | Viewed by 18733 | Correction
Abstract
A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and https://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation experiment, and a competition experiment. The two experiments use the same methods and subject pool, [...] Read more.
A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and https://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation experiment, and a competition experiment. The two experiments use the same methods and subject pool, and examine games randomly selected from the same distribution. The current introductory paper presents the results of the estimation experiment, and clarifies the descriptive value of several baseline models. The experimental results reveal the robustness of eight behavioral tendencies that were documented in previous studies of market entry games and individual decisions from experience. The best baseline model (I-SAW) assumes reliance on small samples of experiences, and strong inertia when the recent results are not surprising. The competition experiment will be run in May 2010 (after the completion of this introduction), but they will not be revealed until September. To participate in the competition, researchers are asked to E-mail the organizers models (implemented in computer programs) that read the incentive structure as input, and derive the predicted behavior as an output. The submitted models will be ranked based on their prediction error. The winners of the competition will be invited to publish a paper that describes their model. Full article
(This article belongs to the Special Issue Predicting Behavior in Games)
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