Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling Volume II, Technical Papers (1991) / Chapter Skim
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Pages 295-297
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From page 295... ...
If a useful loss function can be identified, the implied weights could be used in a weighted analysis for most of the methods discussed here. Analysis of Categorical Data One of the major advantages of microsimulation models is that they provide information on the distributional impacts of changes in social welfare programs, generally unavailable from other forms of modeling.
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From page 296... ...
of children Age of youngest child Gross income of unit Earnings of adults Type of AFDC unit Race of head Sex of head Age of head Rclationship of unit head to household head Marital status of head Size of bcncf~t 1 2 3 4 5 26 10 2 5 11 14 568 508 15 19 15 3 4 9 28 19 30 47 1.2 as 3728 2739 6 12 461 18 13 0.90.9 115 114101 28 45 6 12 396 8 15 2 o 48 0.9 20 106 27 11 2 11 506 14 17 6 31 29 1 87 6 36 27 4 5 16 13 456 423 26 23 3 12 10 2 1.2 0.9 21 1 49 45 0.9 2 16 116 108 7 8 28 27 41 45 12 362 17 14 o 46 0.9 19 109 'D.F. indicates degrees of freedom.
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From page 297... ...
However, they do outperform many TRIM2 versions in estimating gross income of unit and relationship of unit head to household head. This test can also be used for more than two rows to investigate the similarity of several model versions as part of an analysis of the sensitivity of the distributions to model structure.
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