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A New Heuristic in Mutual Sequential Mate Search

Author

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  • Ismail Saglam

    (Ankara, Turkey)

Abstract

In this paper, we propose a new heuristic to be used as a mate search strategy in the human mate choice model of Todd and Miller (1999). This heuristic, which we call Take the Weighted Average with the Next Desiring Date, is a plausible search rule in terms of informational assumptions. Our simulations show that this new heuristic is in terms of mating likelihood almost as good as, and in terms of mating speed always better than, the most successful —yet also unrealistic— heuristic of Todd and Miller (1999), namely the Mate Value-5 rule, which assumes that individuals in the mating population completely know their own mate values before interacting with any date. The success of our heuristic stems from its extreme power to lead an average individual in the mating population to always underestimate his/her own mate value during the adolescence (learning) phase of the mating process. While our new heuristic is also found to be successfully egalitarian in pairing up individuals, it does not perform well in terms of marital stability

Suggested Citation

  • Ismail Saglam, 2018. "A New Heuristic in Mutual Sequential Mate Search," International Journal of Microsimulation, International Microsimulation Association, vol. 11(2), pages 122-145.
  • Handle: RePEc:ijm:journl:v11:y:2018:i:2:p:122-145
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    File URL: https://microsimulation.org/IJM/V11_2/IJM_11_2_3.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. 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.
    3. Edmund J. Collins & John M. McNamara & David M. Ramsey, 2006. "Learning rules for optimal selection in a varying environment: mate choice revisited," Behavioral Ecology, International Society for Behavioral Ecology, vol. 17(5), pages 799-809, September.
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    Cited by:

    1. Saglam, Ismail, 2017. "Simulating the Mutual Sequential Mate Search Model under Non-homogenous Preferences," MPRA Paper 80522, University Library of Munich, Germany.
    2. 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;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

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