The Secure Boston Mechanism: theory and experiments

Umut Dur, Robert Hammond and Thayer Morrill ()
Additional contact information
Thayer Morrill: North Carolina State University

Experimental Economics, 2019, vol. 22, issue 4, No 7, 918-953

Abstract: Abstract This paper introduces a new matching mechanism that is a hybrid of the two most common mechanisms in school choice, the Boston Mechanism (BM) and the Deferred Acceptance algorithm (DA). BM is the most commonly used mechanism in the field, but it is neither strategyproof nor fair. DA is the mechanism that is typically favored by economists, but it is not Pareto efficient. The new mechanism, the Secure Boston Mechanism (sBM), is an intuitive modification of BM that secures any school a student was initially guaranteed but otherwise prioritizes a student at a school based upon how she ranks it. Relative to BM, theoretical results suggest that sBM is an improvement in terms of strategyproofness and fairness. We present experimental evidence using a novel experimental design that confirms that sBM significantly increases truth-telling and fairness. Relative to DA, theoretical results suggest that sBM can be a Pareto improvement in equilibrium but the efficiency comparison of sBM and DA is theoretically ambiguous. We present simulation evidence that suggests that sBM often does Pareto dominate DA when DA is inefficient, while sBM and DA very often overlap when DA is efficient. Overall, our results strongly support the use of sBM over BM and suggest that sBM should be considered as a viable alternative to DA.

Keywords: School choice; Student assignment; Preference manipulations; Lab experiments (search for similar items in EconPapers)
JEL-codes: C78 D61 D78 I20 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://link.springer.com/10.1007/s10683-018-9594-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:kap:expeco:v:22:y:2019:i:4:d:10.1007_s10683-018-9594-z

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10683/PS2

DOI: 10.1007/s10683-018-9594-z

Access Statistics for this article

Experimental Economics is currently edited by David J. Cooper, Lata Gangadharan and Charles N. Noussair

More articles in Experimental Economics from Springer, Economic Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().