1. Methodology
  2. Dynamic microsimulation
Download icon

On weights in dynamic-ageing microsimulation models

  1. Gijs Dekkers  Is a corresponding author
  2. Richard Cumpston  Is a corresponding author
  1. Federal Planning Bureau, Belgium
  2. CESO, Katholieke Universiteit Leuven, Belgium
  3. CEPS/INSTEAD, Luxembourg
  4. Australian National University, Australia
Research note
Cite this article as: G. Dekkers, R. Cumpston; 2012; On weights in dynamic-ageing microsimulation models; International Journal of Microsimulation; 5(2); 59-65. doi: 10.34196/ijm.00072
2 figures and 1 table

Figures

Example of the alternative strategy.
Weighted and unweighted person projections.

Tables

Table 1
50-year projections using unweighted and weighted data.
Weighted Data Alignment Moves Runtime (seconds) Runtime as % of unweighted Average number of records as % of unweighted
No No Yes 39.07 100.0% 100.0%
Yes No Yes 31.35 80.2% 81.6%
Yes Strategy 1 Yes 32.60 83.4% 83.0%
Yes Strategy 3 Yes 32.49 83.2% 82.3%
No No No 31.58 100.0% 100.0%
Yes No No 19.72 62.4% 57.9%
Yes Strategy 1 No 20.52 65.0% 60.5%
Yes Strategy 3 No 20.12 63.7% 58.5%

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Download citations (links to download the citations from this article in formats compatible with various reference manager tools)

Open citations (links to open the citations from this article in various online reference manager services)