Tiered Housing Allocation: an Experimental Analysis
Juan D. Carrillo and
Saurabh Singhal
No 8511, Working Paper from USC Lusk Center for Real Estate
Abstract:
We study in the laboratory, a variant of the house allocation with existing tenants problem where agents are partitioned into tiers with different privileges. Members of higher tiers receive their allocation before those in lower tiers and can also take the endowment of a member of a lower tier if they wish to. In this tiered environment, we evaluate the performance of the modified versions of three well-known mechanisms - the Top Trading Cycle (TTC), the Gale-Shapley (GS) and the Random Serial Dictatorship (RSD). For all three mechanisms, we find low rates of participation (around 40%), high rates of truthtelling conditional on participation (around 90%) and efficiency levels that are high (above 90%) but below full efficiency. Also, of the three novelties introduced in our experiment tiered structure, multiple matches and known priority queue- only the last one has an impact on choices, with subjects being significantly more likely to participate the higher their position in the queue. Finally, the majority of subjects who do not play according to the theory still follow discernible patterns of participation and preference revelation.
Keywords: Housing; Tiered Housing; house allocation (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://lusk.usc.edu/sites/default/files/working_papers/wp_2011_1002.pdf (application/pdf)
Related works:
Working Paper: Tiered Housing Allocation: an Experimental Analysis (2011) 
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:luk:wpaper:8511
Access Statistics for this paper
More papers in Working Paper from USC Lusk Center for Real Estate Contact information at EDIRC.
Bibliographic data for series maintained by Chris Steins ().