Abstract
The psychological problem of uncovering the mechanisms by which people select mates or marriage partners and the demographic problem of understanding the emergence of population-level patterns of marriage can be brought together to illuminate each other. In this paper we combine a top-down demographic approach with a bottom-up psychological approach to study marriage and mate search via agent-based simulations. We model a group of agents searching for mates using individual aspiration-based satisficing heuristics, which are simple, psychologically plausible mechanisms suggested by the framework of bounded rationality. By comparing the resulting population-level patterns with the general features of demographically observed age-at-marriage distributions, we find that the psychological mechanisms must be refined to account for the empirical data. In particular, we show the importance of heterogeneity across individuals for producing realistic marriage times.
We would like to thank Tom Burch, Henriette Engelhardt, and Padma Rao Sahib for their valuable comments and suggestions. This paper was written while Francesco C. Billari was working at the Max Planck Institute for Demographic Research.
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Todd, P.M., Billari, F.C. (2003). Population-Wide Marriage Patterns Produced by Individual Mate-Search Heuristics. In: Billari, F.C., Prskawetz, A. (eds) Agent-Based Computational Demography. Contributions to Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2715-6_7
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DOI: https://doi.org/10.1007/978-3-7908-2715-6_7
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