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Brief Announcement: Effect of Strategic Grading and Early Offers in Matching Markets

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Algorithmic Game Theory (SAGT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9347))

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Abstract

In this paper we consider the effect of strategic behavior in matching markets as school graduates get assigned to jobs (or to further education) reacting to multiple incentives:

  • Companies want to hire the best students,

  • Students want to take the best jobs,

  • Schools want to help their graduating students take great jobs.

A full version of the paper can be found at http://arxiv.org/abs/1507.02718.

Supported in part by NSF grants CCF-0910940 and CCR-1215994, ONR grant N00014-08-1-0031, and a Google Research Grant.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Cornell University, 336 Gates Hall, Ithaca, NY, 14853, USA

    Hedyeh Beyhaghi & Éva Tardos

  2. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, USA

    Nishanth Dikkala

Authors
  1. Hedyeh Beyhaghi
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  2. Nishanth Dikkala
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  3. Éva Tardos
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Corresponding author

Correspondence to Hedyeh Beyhaghi .

Editor information

Editors and Affiliations

  1. Max-Planck-Institut für Informatik, Saarbrücken, Germany

    Martin Hoefer

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© 2015 Springer-Verlag Berlin Heidelberg

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Beyhaghi, H., Dikkala, N., Tardos, É. (2015). Brief Announcement: Effect of Strategic Grading and Early Offers in Matching Markets. In: Hoefer, M. (eds) Algorithmic Game Theory. SAGT 2015. Lecture Notes in Computer Science(), vol 9347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48433-3_24

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  • DOI: https://doi.org/10.1007/978-3-662-48433-3_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48432-6

  • Online ISBN: 978-3-662-48433-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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