Economics at your fingertips  

Two-Sided Matching Without Transfers: A Unifying Empirical Framework

Tim Ederer

No 22-1340, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: This paper provides a unifying framework of one-to-one and many-to-one matching without transfers and investigates how data on realized matches can be leveraged to identify preferences of participating agents. I find that, under parsimonious assumptions on preferences, one can only identify the joint surplus function both in the one-to-one and many-to-one case. While this negative identification result was already established for the one-to-one case, I reconcile this finding with the recent literature showing that preferences are separately identified when having data on many-to-one matchings. I find that these positive identification results are mostly driven by restrictions imposed on preferences rather than the additional identification power made available through the many-to-one structure of the data. I then show that by imposing similar restrictions on preferences, one can recover identification of preferences both in the one-to-one and many-to-one case. Finally, I show that the additional data brought by many-to-one matchings can alternatively be used to estimate more precisely the distribution of un-observed preference heterogeneity.

Date: 2022-06-16
New Economics Papers: this item is included in nep-des
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) ... 2022/wp_tse_1340.pdf Full Text (application/pdf)

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:

Access Statistics for this paper

More papers in TSE Working Papers from Toulouse School of Economics (TSE) Contact information at EDIRC.
Bibliographic data for series maintained by ().

Page updated 2023-01-30
Handle: RePEc:tse:wpaper:127031