1. Methodology
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Logit scaling: A general method for alignment in microsimulation models

  1. Peter Stephensen  Is a corresponding author
  1. Danish research institute of applied economic modelling, DREAM, Denmark
Research article
Volume 9(3) Winter 2016
Cite this article as: P. Stephensen; 2016; Logit scaling: A general method for alignment in microsimulation models; International Journal of Microsimulation; 9(3); 89-102. doi: 10.34196/ijm.00144
2 figures and 1 table

Figures

Figure 3.1
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Example of binary KLIC (solid line) compared to quadratic distance. It is assumed that q0 = 0.2.

Figure 3.2
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Alignment methods.

Tables

Table 1

Comparing Bi-proportional scaling with two Newton-Raphson algorithms (N = 1.000.000, A = 4). The centered log-ratios φas are the output of the Newton-Raphson algorithms. In the case of Bi-Proportional Scaling they are calculated using (3.4).

Time (Sec.) φ1 φ2 φ3
Newton-Raphson (Standard) 3.94 0.53841805 −0.58964392 0.00557946
Newton-Raphson (Optimized) 1.45 0.54167153 −0.59175494 0.00659708
Bi-Proportional Scaling 0.60 0.53841807 −0.58964390 0.00557951

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