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Validation of spatially allocated small area estimates for 1880 Census demography

Author

Listed:
  • Matt Ruther

    (University of Colorado Boulder)

  • Galen Maclaurin

    (University of Colorado Boulder)

  • Stefan Leyk

    (University of Colorado Boulder)

  • Barbara Buttenfield

    (University of Colorado Boulder)

  • Nicholas Nagle

    (University of Tennessee)

Abstract

Objective: This paper details the validation of a methodology which spatially allocates Census microdata to census tracts, based on known, aggregate tract population distributions. To protect confidentiality, public-use microdata contain no spatial identifiers other than the code indicating the Public Use Microdata Area (PUMA) in which the individual or household is located. Confirmatory information including the location of microdata households can only be obtained in a Census Research Data Center (CRDC). Due to restrictions in place at CRDCs, a systematic procedure for validating the spatial allocation methodology needs to be implemented prior to accessing CRDC data. Methods: This study demonstrates and evaluates such an approach, using historical census data for which a 100% count of the full population is available at a fine spatial resolution. The approach described allows for testing of the behavior of a maximum entropy imputation and spatial allocation model under different specifications. The imputation and allocation is performed using a microdata sample of records drawn from the full 1880 Census enumeration and synthetic summary files created from the same source. The results of the allocation are then validated against the actual values from the 100% count of 1880. Results: The results indicate that the validation procedure provides useful statistics, allowing an in-depth evaluation of the household allocation and identifying optimal configurations for model parameterization. This provides important insights as to how to design a validation procedure at a CRDC for spatial allocations using contemporary census data.

Suggested Citation

  • Matt Ruther & Galen Maclaurin & Stefan Leyk & Barbara Buttenfield & Nicholas Nagle, 2013. "Validation of spatially allocated small area estimates for 1880 Census demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(22), pages 579-616.
    • Handle: RePEc:dem:demres:v:29:y:2013:i:22
    DOI: 10.4054/DemRes.2013.29.22
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    References listed on IDEAS

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    1. Robert Tanton & Yogi Vidyattama & Binod Nepal & Justine McNamara, 2011. "Small area estimation using a reweighting algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 931-951, October.
    2. Renato Assunção & Carl Schmertmann & Joseph Potter & Suzana Cavenaghi, 2005. "Empirical bayes estimation of demographic schedules for small areas," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 537-558, August.
    3. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
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    Cited by:

    1. Xu, Hai-Yan & Kuo, Shyh-Hao & Li, Guoqi & Legara, Erika Fille T. & Zhao, Daxuan & Monterola, Christopher P., 2016. "Generalized Cross Entropy Method for estimating joint distribution from incomplete information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 162-172.

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    More about this item

    Keywords

    small area estimation; census data; spatial allocation;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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