3rd Choice Prediction Competition

 
ellsberg paradox
 

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The Department of Environmental Economics and Management

The Robert H. Smith Faculty
of Agriculture, Food and Environment
The Hebrew University of Jerusalem

PO Box 12, Rehovot 76100
Fax: 08-9466267

Department Head:
Prof. Ayal Kimhi, Tel: 08-9489376

Head of the teaching program:
Dr. Ohad Raveh, Tel: 08-9489373

Secretary: 
Meital Kappach, Tel: 08-9489230

3rd Choice Prediction Competition:

Social Preferences in Extensive Form Games

website paper

Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person distribution 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 December 1st 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.