The DOI matches its Crossref record.
Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis
Abstract
Two-sided matching provides a model of search processes such as those between firms and workers in labor markets or between buyers and sellers in auctions. This book gives a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching. The focus of the book is on the stability of outcomes, on the incentives that different rules of organization give to agents, and on the constraints that these incentives impose on the ways such markets can be organized. The results for this wide range of related models and matching situations help clarify which conclusions depend on particular modeling assumptions and market conditions, and which are robust over a wide range of conditions. 'This book chronicles one of the outstanding success stories of the theory of games, a story in which the authors have played a major role: the theory and practice of matching markets … The authors are to be warmly congratulated for this fine piece of work, which is quite unique in the game-theoretic literature.' From the Foreword by Robert Aumann
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Cudd, A. E. (2006) · doi:10.1093/0195187431.001.0001 · Cited by 483
A two-sided, empirical model of television advertising and viewing markets
Wilbur, K. C. (2008) · Marketing Science · doi:10.1287/mksc.1070.0303 · Cited by 342
The Nash equilibrium: A perspective
Holt, C. A., & Roth, A. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308738101 · Cited by 296
Self-citationAssets at marriage in rural Ethiopia
Fafchamps, M., & Quisumbing, A. (2005) · Journal of Development Economics · doi:10.1016/j.jdeveco.2004.02.003 · Cited by 182
Centralized Admissions for Engineering Colleges in India
Baswana, S., Chakrabarti, P. P., Chandran, S., Kanoria, Y., & Patange, U. (2019) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.2019.1007 · Cited by 41
Metadata
- Authors
- Roth, A. E., & Sotomayor, M. A. O.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1990
- OpenAlex
- W4242255739
- Cited by
- 1,340
- References
- 0
- FWCI
- 13.59
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis. https://app.cochat.ai/papers/10.1017/ccol052139015x
- The paper
- Roth, A. E., & Sotomayor, M. A. O. (1990). Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis. Cambridge University Press eBooks. https://doi.org/10.1017/ccol052139015x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.