On weights in dynamic-ageing microsimulation models

Gijs Dekkers and Richard Cumpston ()
Additional contact information
Richard Cumpston: Research School of Finance, Actuarial Studies & Applied Statistics Australian National University

International Journal of Microsimulation, 2012, vol. 5, issue 2, 59-65

Abstract: A dynamic model with cross-sectional dynamic ageing builds up complete synthetic life histories for each individual, starting from a survey dataset or an administrative dataset. Many of these datasets include weights. This is a problem for dynamic microsimulation models, since the most obvious solution, expanding the dataset, is not always advisable or even possible. This short paper presents an alternative method to use weights in dynamic microsimulation models with dynamic ageing. This approach treats the weighting variable as just another variable in the model, and the weights are only used after simulation to derive weighted simulation results. Tests using Australian data confirm that weighted variables give sensible results, with reductions in runtimes and memory requirements.

Keywords: sample weights; dynamic microsimulation (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.microsimulation.org/IJM/V5_2/4_IJM_5_2_Dekkers_Cumpston.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ijm:journl:v:5:y:2012:i:2:p:59-65

Access Statistics for this article

International Journal of Microsimulation is currently edited by Matteo Richiardi

More articles in International Journal of Microsimulation from International Microsimulation Association
Bibliographic data for series maintained by Jinjing Li ().