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Logit scaling: A general method for alignment in microsimulation models
- Danish research institute of applied economic modelling, DREAM, Denmark
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
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Figures
Figure 3.1
Example of binary KLIC (solid line) compared to quadratic distance. It is assumed that q0 = 0.2.
Figure 3.2
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 …
| 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 |