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Related Experiment Videos

Using administrative lists to estimate census omissions.

E P Ericksen, J B Kadane

    Journal of Official Statistics
    |January 1, 1986
    PubMed
    Summary
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    This study introduces a novel method for estimating census omission rates by merging administrative lists and matching them against census data. The approach was tested in New York City, offering a new way to evaluate census accuracy.

    Area of Science:

    • Demography
    • Statistical Methodology
    • Public Administration

    Background:

    • Accurate census counts are crucial for resource allocation and representation.
    • Estimating census omission rates is challenging due to the difficulty of identifying individuals missed by the census.
    • Existing methods for estimating omission rates have limitations.

    Purpose of the Study:

    • To present and evaluate a new method for estimating census omission rates.
    • To assess the feasibility and accuracy of the proposed method using real-world data.
    • To compare the proposed method with existing procedures for omission rate estimation.

    Main Methods:

    • The proposed method involves merging administrative lists from various sources.
    • A sample is drawn from these merged administrative lists.
    Keywords:
    AmericasCensusCensus MethodsComparative StudiesDeveloped CountriesDeveloping CountriesError SourcesEstimation TechnicsEvaluationEvaluation ReportMeasurementNew YorkNorth AmericaNorthern AmericaPopulation StatisticsResearch MethodologyUndercountUnited States

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  • The sampled individuals are then matched against the census rolls to identify omissions.

    • Main Results:

    • The method was successfully tested using data from the 1980 New York City census.
    • The results of the test provided an estimate of the omission rate for that census.
    • Evaluation of the results indicated the method's potential for accurate omission estimation.

    Conclusions:

    • The presented method offers a viable approach for estimating census omission rates.
    • Merging administrative lists and matching against census data is an effective strategy.
    • Further application and refinement of this method can improve census data quality.