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A demographic microsimulation model with an integrated household alignment method

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  • Amarin Siripanich
  • Taha Rashidi

Abstract

Many dynamic microsimulation models have shown their ability to reasonably project detailed population and households using non-data based household formation and dissolution rules. Although, those rules allow modellers to simplify changes in the household construction, they typically fall short in replicating household projections or if applied retrospectively the observed household numbers. Consequently, such models with biased estimation for household size and other household related attributes lose their usefulness in applications that are sensitive to household size, such as in travel demand and housing demand modelling. Nonetheless, these demographic microsimulation models with their associated shortcomings have been commonly used to assess various planning policies which can result in misleading judgements. In this paper, we contribute to the literature of population microsimulation by introducing a fully integrated system of models for different life event where a household alignment method adjusts household size distribution to closely align with any given target distribution. Furthermore, some demographic events that are generally difficult to model, such as incorporating immigrant families into a population, can be included. We illustrated an example of the household alignment method and put it to test in a dynamic microsimulation model that we developed using dymiumCore, a general-purpose microsimulation toolkit in R, to show potential improvements and weaknesses of the method. The implementation of this model has been made publicly available on GitHub.

Suggested Citation

  • Amarin Siripanich & Taha Rashidi, 2020. "A demographic microsimulation model with an integrated household alignment method," Papers 2006.09474, arXiv.org.
  • Handle: RePEc:arx:papers:2006.09474
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    References listed on IDEAS

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    1. Balz R. Bodenmann, 2011. "Modelling firm (re-)location choice in UrbanSim," ERSA conference papers ersa11p1091, European Regional Science Association.
    2. Fatmi, Mahmudur Rahman & Habib, Muhammad Ahsanul, 2018. "Microsimulation of vehicle transactions within a life-oriented integrated urban modeling system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 497-512.
    3. Morgane Dumont & Johan Barthelemy & Nam Huynh & Timoteo Carletti, 2018. "Towards the Right Ordering of the Sequence of Models for the Evolution of a Population Using Agent-Based Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(4), pages 1-3.
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