
Dynamic Microsimulation for Policy Analysis. Problems and Solutions
Cite this article
as: A. Klevmarken; 2022; Dynamic Microsimulation for Policy Analysis. Problems and Solutions; International Journal of Microsimulation; 15(1); 121-134.
doi: 10.34196/ijm.00256
Tables
Table 1
Aligned and original estimates of a MNL model for social care.
Variable | Aligned, females | Aligned, males | Original ML-estimates |
---|---|---|---|
Help at home | |||
Age | 0.2096 | 0.2127 | 0.119 |
If man | - | -1.6894 | -0.749 |
ADL1 | 1.4968 | 1.6456 | 1 |
ADL2 | 2.6648 | 2.7901 | 2.12 |
ADL3 | 3.2562 | 3.3229 | 2.86 |
Intercept | -20.1854 | -20.3627 | -11.8 |
Special housing | |||
age | 0.1474 | 0.1610 | 0.171 |
If man | - | 0.0029 | -0.769 |
ADL1 | -0.9949 | -1.2447 | 0.684 |
ADL2 | 1.3713 | 1.1473 | 2.97 |
ADL3 | 4.7634 | 4.4460 | 6.5 |
Intercept | -14.8972 | -15.9354 | -18.8 |
-
Note: The comparison state is no help.
Table 2
Aligned and originally simulated relative frequencies of social care (%).
Form of care | Aligned (HINK) | Simulated without alignment | ||
---|---|---|---|---|
Males | Females | All | All | |
No help | 98.9 | 98.3 | 98.6 | 98.1 |
Help at home | 0.1 | 0.6 | 0.4 | 1.9 |
Special housing | 1.0 | 1.1 | 1.0 | 0.1 |
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