Descriptive Theories of Bargaining: An Experimental Analysis of Two- And Three-Person Characteristic Function Bargaining Softcover Repri Edition Contributor(s): Uhlich, Gerald R. (Author) |
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ISBN: 3540524835 ISBN-13: 9783540524830 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: May 1990 |
Additional Information |
BISAC Categories: - Business & Economics | Leadership - Business & Economics | Economics - Theory - Business & Economics | Econometrics |
Dewey: 658.4 |
Series: Lecture Notes in Economic and Mathematical Systems |
Physical Information: 0.39" H x 6.69" W x 9.61" (0.67 lbs) 165 pages |
Descriptions, Reviews, Etc. |
Publisher Description: The aim of this book is the presentation of two new descriptive theories for experimental bargaining games and a comparison with other descriptive and normative theories. To obtain data it was necessary to develop two sets of computer programs for computer controlled ex- periments. Moreover, data obtained by other researchers, which are available to us will be included in this study. The use of laboratory experiments in economics was introduced by THURSTONE 1931] in the field of utility theory. CHAMBERLIN 1948] was the first person to establish an expe- rimental market for the purpose of testing a theory. The first experiment on characteristic function games was done by KALISH, MILNOR, NASH, and NERING 1954]. Today the use of experiments in controlled laboratory settings has become widespread. Earlier, economists went into the field to observe phenomena as the behavior of individuals, corporations and nations in action, then they formulated theories to explain what they saw. But unlike natural scientists, economists have not been able to test their theories under controlled conditions. Now experimental economists are able to replicate their results. Replication is very proble- matic for field studies, because rarely the same conditions can be established again. Moreover, experimenters are able to test theories for situations described by simplified models which are not observable in the real world. |