Chinese college admissions and school choice reforms: An experimental study
Yan Chen and
Onur Kesten
Games and Economic Behavior, 2019, vol. 115, issue C, 83-100
Abstract:
Since 2001, many Chinese provinces have transitioned from a “sequential” to a “parallel” school choice or college admissions mechanism. Inspired by this natural experiment, we evaluate the sequential (immediate acceptance, IA), parallel (PA), and deferred acceptance (DA) mechanisms in the laboratory. We find that participants are most likely to reveal their preferences truthfully under DA, followed by PA and then DA. While stability comparisons also follow the same order, efficiency comparisons vary across environments. Regardless of the metrics, the performance of PA is robustly sandwiched between IA and DA. Furthermore, 53% of our subjects adopt an insurance strategy under PA, making them at least as well off as what they could guarantee themselves under IA. These results help explain the recent reforms in Chinese school choice and college admissions.
Keywords: College admissions; School choice; Immediate acceptance mechanism; Parallel mechanism; Deferred acceptance; Experiment (search for similar items in EconPapers)
JEL-codes: C78 C92 D47 D82 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0899825619300132
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:gamebe:v:115:y:2019:i:c:p:83-100
DOI: 10.1016/j.geb.2019.02.003
Access Statistics for this article
Games and Economic Behavior is currently edited by E. Kalai
More articles in Games and Economic Behavior from Elsevier
Bibliographic data for series maintained by Catherine Liu ().