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Dynamic Allocation of Objects to Queuing Agents: The Discrete Model. (2014). Bloch, Francis ; Cantala, David .
In: Post-Print.
RePEc:hal:journl:halshs-01109667.

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Cited: 1

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Cites: 11

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Cocites: 35

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Coauthors: 0

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Citations received by this document

  1. On Matching and Thickness in Heterogeneous Dynamic Markets. (2019). Manshadi, Vahideh ; Jaillet, Patrick ; Burq, Maximilien ; Ashlagi, Itai.
    In: Operations Research.
    RePEc:inm:oropre:v:67:y:2019:i:4:p:927-949.

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References

References cited by this document

  1. 1. Abdulkadiroglu A. and S. Loertscher (2007)“Dynamic house allocations, ”, mimeo., Duke University and University of Melbourne.
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  2. 2. Bloch, F. and D. Cantala (2013) “Markovian assignment rules,” Social Choice and Welfare 40, 1-25.

  3. 3. Bloch, F. and N. Houy (2012) “Optimal assignment of durable objects to successive agents,” Economic Theory, 51, 13-33.

  4. 4. Bloch, F. and D. Cantala (2014) “Dynamic allocation of objects to queueing agents: The continuous model,” in preparation.

  5. 5. Dizdar, D., A. Gerkshov and B. Moldovanu (2011) “Revenue maximization in the dynamic knapsack problem,” Theoretical Economics, 6, 157-184.

  6. 6. Gershkov, A. and B. Moldovanu (2009a) “Learning about the future and dynamic efficiency,” American Economic Review 99, 1576-1587.
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  7. 7. Gershkov, A. and B. Moldovanu (2009b) “Dynamic revenue maximization with heterogeneous objects: A mechanism design approach,” American Economic Journal: Microeconomics 1, 168-198.
    Paper not yet in RePEc: Add citation now

  8. 8. Kennes, J., D. Monte and N. Tumennasan (2014) “The daycare assignment: A dynamic matching problem”, American Economic Journal: Microeconomics, forthcoming.

  9. 9. Kleinrock, L. (1976) Queuing Systems, Volume II: Computer Applications, New York: Wiley.
    Paper not yet in RePEc: Add citation now
  10. Documents de Travail du Centre d'Economie de la Sorbonne - 2014.66
    Paper not yet in RePEc: Add citation now

  11. Documents de Travail du Centre d'Economie de la Sorbonne - 2014.66 14. Su, X. and S. Zenios (2005) “Patient choice in kidney allocation: A stochastic sequential assignment model,” Operations Research 53, 443455.

Cocites

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  6. Credibility, efficiency, and stability: a theory of dynamic matching markets. (2020). Kurino, Morimitsu.
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  9. Quick or cheap? Breaking points in dynamic markets. (2019). , Bary ; Nax, Heinrich H ; Mertikopoulos, Panayotis.
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  10. Matching with waiting times: The German entry-level labor market for lawyers. (2019). Heller, C-Philipp ; Dimakopoulos, Philipp D.
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  11. Quick or Cheap? Breaking Points in Dynamic Markets. (2019). , Bary ; Nax, Heinrich H ; Mertikopoulos, Panayotis .
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  12. Matching with Waiting Times: The German Entry-Level Labor Market for Lawyers. (2018). Heller, C-Philipp ; Dimakopoulos, Philipp D.
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  14. A computational approach to the multi-period many-to-one matching with ties. (2017). Xiong, Xinsheng ; Chen, Yang ; Zhao, Yong.
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  16. Dynamic Assignment of Objects to Queuing Agents. (2017). Bloch, Francis ; Cantala, David .
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  17. Project selection: Commitment and competition. (2016). Gordon, Sidartha ; Bar, Talia ; Atal, Vidya.
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  21. Dynamic Matching Markets and the Deferred Acceptance Mechanism. (2015). Tumennasan, Norovsambuu ; Kennes, John ; Monte, Daniel .
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  25. Dynamic Allocation of Objects to Queuing Agents: The Discrete Model. (2014). cantala, david ; Bloch, Francis.
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  26. Dynamic Allocation of Objects to Queuing Agents: The Discrete Model. (2014). Bloch, Francis ; Cantala, David .
    In: Post-Print.
    RePEc:hal:journl:halshs-01109667.

    Full description at Econpapers || Download paper

  27. Dynamic Allocation of Objects to Queuing Agents: The Discrete Model. (2014). cantala, david ; Bloch, Francis.
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