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Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling Volume II, Technical Papers (1991) / Chapter Skim
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Pages 33-36

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From page 33...
... Undoubtedly, the current income and asset income imputation procedures in the SIPP distort at least somewhat the picture of the population participating in programs such as food stamps. Allin and Doyle (1990)
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From page 34...
... 3rd Quaner 1983 78.5 76.2 76.0 4th Quarter 1983 79.2 78.5 1st Quarter 1984 84.5 85.3 2nd Quarter 1984 86.0 86.0 3rd Quarter 1984 82.0 80.2 4th Quarter 1984 80.7 78.8 Food stamps 3rd Quarter 1983 89.5 90.1 71.2 4th Quaner 1983 91.0 83.1 1st Quarter 1984 90.8 85.2 2nd Quarter 1984 90.5 86.2 3rd Quaner 1984 90.3 84.6 4th Quarter 1984 91.7 83.6 Veterans' compensa iion or pension. 3rd Quarter 1983 89.2 78.9 63.3 4th Quarter 1983 89.7 79.9 1st Quarter 1984 90.6 78.0 2nd Quarter 1984 90.8 74.5 3rd Quaner 1984 89.8 76.3 4th Quarter 1984 93.3 79.7 NOTES: N.A., not available.
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From page 35...
... . The new processing system just introduced for the March 1989 CPS produces somewhat higher aggregate income estimates than previously obtained (by 1% overall and 3% for unearned incomes, because imputations are now based on the 49 separate income types that are collected rather than on 11 combined income types (see Welniak, 1990~.
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From page 36...
... The results show negatively biased participation rates for most programs: that is, net underreporting of participation, although there are overreports as well as underreports. For most programs, there appears to be relatively little bias in reporting of benefit amounts for those Minis study is the first in a series of planned evaluations by the Census Bureau of the quality of current income reporting in the March CPS and SIPP, using administrative data and other sources.
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Key Terms

  • census bureau
  • march cps
  • labor force
  • sipp data
  • food stamp

  • imputation procedures
  • participation rates
  • food stamps
  • asset holdings
  • unearned income

  • benefit amount
  • administrative records
  • administrative data
  • data quality
  • income statistics

  • income types
  • sipp panel
  • afdc benefits
  • reporting errors


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