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Simulating the Mutual Sequential Mate Search Model under Non-homogenous Preferences

Author

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  • Saglam, Ismail

Abstract

This paper extends the Todd and Miller's (1999) mutual sequential mate search model with homogenous preferences to the case of non-homogenous preferences. Our simulations show that the size of heterogeneity in the preferences affects the performance rankings -as well as the absolute success levels- of the mate search heuristics in the model with respect to both mating likelihood and mating stability.

Suggested Citation

  • Saglam, Ismail, 2017. "Simulating the Mutual Sequential Mate Search Model under Non-homogenous Preferences," MPRA Paper 80522, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:80522
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    File URL: https://mpra.ub.uni-muenchen.de/80522/1/MPRA_paper_80522.pdf
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    References listed on IDEAS

    as
    1. Ismail Saglam, 2014. "Simple Heuristics as Equilibrium Strategies in Mutual Sequential Mate Search," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-12.
    2. Ismail Saglam, 2018. "A New Heuristic in Mutual Sequential Mate Search," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 122-145.
    3. Naoki Shiba, 2013. "Analysis of Asymmetric Two-Sided Matching: Agent-Based Simulation with Theorem-Proof Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(3), pages 1-11.
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    Cited by:

    1. Ismail Saglam, 2021. "The Success of the Deferred Acceptance Algorithm Under Heterogenous Preferences with Endogenous Aspirations," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 577-591, February.
    2. Ismail Saglam, 2020. "Measuring external stability in one-to-one matching," Economics Bulletin, AccessEcon, vol. 40(1), pages 234-247.
    3. Saglam, Ismail, 2019. "Measuring the External Stability of the One-to-One Matching Generated by the Deferred Acceptance Algorithm," MPRA Paper 91472, University Library of Munich, Germany.

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    1. Ismail Saglam, 2021. "The Success of the Deferred Acceptance Algorithm Under Heterogenous Preferences with Endogenous Aspirations," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 577-591, February.
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    More about this item

    Keywords

    Mate Choice; Mate Search; Simple Heuristics; Agent-Based Simulation; Correlated Preferences;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Z00 - Other Special Topics - - General - - - General

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