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A Mate-Matching Algorithm for Continuous-Time Microsimulation Models

Author

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  • Sabine Zinn

    (Max Planck Institute for Demographic Research, Laboratory of Statistical Demography, Rostock, Germany)

Abstract

The timing of partnership formation in closed continuous-time microsimulation models poses difficulties due to the continuous time scale. In this paper the problem is resolved by the concept of a partnership market, which individuals can enter and leave at any point in time over the complete simulation time range. Each individual, who looks for a spouse, remains in the market for a specific period during which searching and matching is performed. To build up synthetic couples, the model imitates a decision making-process. The decision to enter a partnership depends on empirically estimated logit models for the probability that a given woman and a given man will get together, and also on an individual aspiration level regarding a potential partner. A couple is formed if a positive decision has been made and the timing of the partnership formation is consistent with the individual searching periods of the prospective spouses. The algorithm is illustrated by an example in which simulations are run to project a synthetic population, similar to the population of the Netherlands, by using an extended version of the microsimulation tool of the MicMac project.

Suggested Citation

  • Sabine Zinn, 2012. "A Mate-Matching Algorithm for Continuous-Time Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 31-51.
    • Handle: RePEc:ijm:journl:v:5:y:2012:i:1:p:31-51
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    File URL: http://www.microsimulation.org/IJM/V5_1/3_IJM_5_1_spring_2012_Zinn.pdf
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    References listed on IDEAS

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    5. Kevin Perese, 2002. "Mate Matching for Microsimulation Models: Technical Paper 2002-3," Working Papers 14211, Congressional Budget Office.
    6. Neal Bouffard & Richard Easther & Tom Johnson & Richard J. Morrison & Jan Vink, 2001. "Matchmaker, Matchmaker, Make Me a Match," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 4(2), December.
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    Citations

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    Cited by:

    1. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2019. "Simulating Family Life Courses: An Application for Italy, Great Britain, and Scandinavia," VID Working Papers 1908, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    2. Gál, Róbert Iván & Törzsök, Árpád, 2015. "Háztartás-formálódás a MIDAS modellben [Household formation in the MIDAS-HU model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1343-1358.
    3. Sebastian Dräger & Johannes Kopp & Ralf Münnich & Simon Schmaus, 2021. "Analyse der Grundschulversorgung in Trier mit Hilfe kleinräumiger Mikrosimulationsmodelle," Research Papers in Economics 2021-01, University of Trier, Department of Economics.
    4. Anna Klabunde & Frans J. Willekens & Sabine Zinn & Matthias Leuchter, 2015. "An agent-based decision model of migration, embedded in the life course - Model description in ODD+D format," MPIDR Working Papers WP-2015-002, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Susan M. Rogers & James Rineer & Matthew D. Scruggs & William D. Wheaton & Phillip C. Cooley & Douglas J. Roberts & Diane K. Wagener, 2014. "A Geospatial Dynamic Microsimulation Model for Household Population Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 119-146.
    6. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2021. "Simulating family life courses: An application for Italy, Great Britain, Norway, and Sweden," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(1), pages 1-48.
    7. Sebastian Dräger & Johannes Kopp & Ralf Münnich & Simon Schmaus, 2022. "Die zukünftige Entwicklung der Grundschulversorgung im Kontext ausgewählter Wanderungsszenarien [The future development of primary school demand in the context of selected migration scenarios]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(1), pages 51-77, March.
    8. Nathan Geffen & Stefan Scholz, 2017. "Efficient and Effective Pair-Matching Algorithms for Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-8.

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    More about this item

    Keywords

    mate-matching algorithm; closed mating model; continuous-time microsimulation; compatibility index;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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