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Related Experiment Videos

On estimating census undercount in small areas.

C T Isaki, L K Schultz, G J Diffendal

    Journal of Official Statistics
    |January 1, 1988
    PubMed
    Summary
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    Differential census undercounts persist despite declining net rates. Synthetic estimation with regression modeling best estimates small area census coverage, informing future evaluations.

    Area of Science:

    • Demography
    • Statistical modeling
    • Census methodology

    Background:

    • Net undercount rates in U.S. decennial censuses have decreased over time.
    • Persistent differential undercounts exist across racial groups and geographic areas.

    Purpose of the Study:

    • To compare methodologies for small area estimation of census coverage.
    • To assess the performance of different small area estimation techniques.

    Main Methods:

    • Construction of artificial populations to simulate census data.
    • Evaluation of various small area estimation methods.
    • Simulation of sampling error effects.

    Main Results:

    • Synthetic estimation combined with regression modeling yielded the best results.
    Keywords:
    AmericasArea AnalysisCensusComparative StudiesCultural BackgroundData AdjustmentDemographic FactorsDeveloped CountriesDeveloping CountriesError SourcesEthnic GroupsGeographic FactorsMeasurementMethodological StudiesNorth AmericaNorthern AmericaPopulationPopulation CharacteristicsPopulation StatisticsResearch MethodologyStudiesUndercountUnited States

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  • This approach demonstrated superior performance compared to other methods evaluated.

    • Conclusions:

    • Synthetic estimation and regression modeling are effective for small area census coverage estimation.
    • Findings provide a basis for future coverage evaluation survey small area estimates.