Learning and equilibrium as useful approximations
Subtitle: accuracy of prediction on randomly selected constant sum games
By: Ido Erev, Alvin E. Roth, Robert L. Slonim, Greg Barron
Contributors: Roth, Alvin E., 1951-; Slonim, Robert; Barron, Greg, 1968-; Harvard Business School. Division of Research
Series: Working paper / Division of Research, Harvard Business School -- 07-004; Working paper (Harvard Business School. Division of Research) -- 07-004
Publisher: Division of Research, Harvard Business School
Published: 2006
Place of publication: Boston]
Language: eng
Number of pages: 27
Description: There is a good deal of miscommunication between and among experimenters and theorists, and psychologists and economists, about how to evaluate a theory that can be rejected by sufficient data, but may nevertheless be a useful approximation. A standard experimental design reports whether a general theory can be rejected on an informative test case. This paper, in contrast, reports an experiment designed to meaningfully pose the question: "how good an approximation does a theory provide on average."
Notes: "June 18, 2006"--Added t.p.

Includes bibliographical references.