Matching in the large: An experimental study

成果类型:
Article
署名作者:
Chen, Yan; Jiang, Ming; Kesten, Onur; Robin, Stephane; Zhu, Min
署名单位:
University of Michigan System; University of Michigan; Tsinghua University; Shanghai Jiao Tong University; Carnegie Mellon University; Centre National de la Recherche Scientifique (CNRS); Ecole Normale Superieure de Lyon (ENS de LYON); Universite Claude Bernard Lyon 1; Universite Jean Monnet; Universite Lyon 2; CNRS - Institute for Humanities & Social Sciences (INSHS); Beijing Normal University
刊物名称:
GAMES AND ECONOMIC BEHAVIOR
ISSN/ISSBN:
0899-8256
DOI:
10.1016/j.geb.2018.04.004
发表日期:
2018
页码:
295-317
关键词:
Matching school choice experiment scale
摘要:
We compare the performance of the Boston Immediate Acceptance (IA) and Gale-Shapley Deferred Acceptance (DA) mechanisms in a laboratory setting where we increase the number of participants per match. In our experiment, we first increase the number of students per match from 4 to 40; when we do so, participant truth-telling increases under DA but decreases under IA, leading to a decrease in efficiency under both mechanisms. Furthermore, we find that DA remains more stable than IA, regardless of scale. We then further increase the number of participants per match to 4,000 through the introduction of robots. When robots report their preferences truthfully, we find that scale has no effect on human best response behavior. By contrast, when we program the robots to draw their strategies from the distribution of empirical human strategies, we find that our increase in scale increases human ex-post best responses under both mechanisms. (C) 2018 The Author(s). Published by Elsevier Inc.