Bounded Rationality in Randomization
AbstractIn repeated games with Nash equilibria in mixed strategies, players optimize by playing randomly. Players are boundedly rational in their randomization eï¿½orts. Arguably, they have no internal randomization facility and they fashion external randomization aids from the environment. By conditioning on past play, boundedly rational players exhibit a pattern. The pattern is characterized by cognitive limitations variously called local representativeness, the law of small numbers or the gamblerâ€™s fallacy. I find one such patternâ€”balance then runsâ€”in re-analysis of existing data for matching pennies experiments. While players and play are heterogeneous, the pattern makes prediction plausible. I implement prediction with a non-linear autoregression. Model 1 is a statistically and substantively significant tool for predicting behavior in matching pennies. There is evidence for two other behavioral models, both of which require some sort of sophisticationâ€”including a model of the opponent as boundedly rational.
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Date of creation: 01 Sep 2003
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bounded rationality; behavorial game theory;
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- Timothy C. Salmon, 2001. "An Evaluation of Econometric Models of Adaptive Learning," Econometrica, Econometric Society, vol. 69(6), pages 1597-1628, November.
- Matthew Rabin., 2000.
"Inference by Believers in the Law of Small Numbers,"
Economics Working Papers
E00-282, University of California at Berkeley.
- Matthew Rabin, 2002. "Inference By Believers In The Law Of Small Numbers," The Quarterly Journal of Economics, MIT Press, vol. 117(3), pages 775-816, August.
- Rabin, Matthew, 2000. "Inference by Believers in the Law of Small Numbers," Department of Economics, Working Paper Series qt4sw8n41t, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Matthew Rabin, 2001. "Inference by Believers in the Law of Small Numbers," Method and Hist of Econ Thought 0012002, EconWPA.
- Costa-Gomes, Miguel & Crawford, Vincent P. & Broseta, Bruno, 1998.
"Cognition and Behavior in Normal-Form Games: An Experimental Study,"
University of California at San Diego, Economics Working Paper Series
qt1vn4h7x5, Department of Economics, UC San Diego.
- Costa-Gomes, Miguel & Crawford, Vincent P & Broseta, Bruno, 2001. "Cognition and Behavior in Normal-Form Games: An Experimental Study," Econometrica, Econometric Society, vol. 69(5), pages 1193-1235, September.
- Miguel Costa-Gomes & Vincent P. Crawford & Bruno Broseta, . "Cognition and Behavior in Normal-Form Games:An Experimental Study," Discussion Papers 00/45, Department of Economics, University of York.
- Broseta, Bruno & Costa-Gomes, Miguel & Crawford, Vincent P., 2000. "Cognition and Behavior in Normal-Form Games: An Experimental Study," University of California at San Diego, Economics Working Paper Series qt0fp8278k, Department of Economics, UC San Diego.
- Oechssler, Jorg & Schipper, Burkhard, 2003.
"Can you guess the game you are playing?,"
Games and Economic Behavior,
Elsevier, vol. 43(1), pages 137-152, April.
- Shachat, Jason M., 2002. "Mixed Strategy Play and the Minimax Hypothesis," Journal of Economic Theory, Elsevier, vol. 104(1), pages 189-226, May.
- Drew Fudenberg & David K. Levine, 1996.
"The Theory of Learning in Games,"
Levine's Working Paper Archive
624, David K. Levine.
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