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Validation of spatially allocated small area estimates for 1880 Census demography
by
Leyk, Stefan
, Buttenfield, Barbara
, Nagle, Nicholas
, Ruther, Matt
, Maclaurin, Galen
in
Age
/ Allocation
/ Census
/ Census data
/ Census of Population
/ Censuses
/ Confidentiality
/ Demography
/ Descriptive statistics
/ Economic models
/ Entropy
/ Geography
/ Households
/ Maximum entropy
/ Maximum entropy method
/ Population Distribution
/ Population distributions
/ Population estimates
/ Public use
/ Research Article
/ Spatial models
/ Statistics
/ Studies
/ Validity
2013
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Validation of spatially allocated small area estimates for 1880 Census demography
by
Leyk, Stefan
, Buttenfield, Barbara
, Nagle, Nicholas
, Ruther, Matt
, Maclaurin, Galen
in
Age
/ Allocation
/ Census
/ Census data
/ Census of Population
/ Censuses
/ Confidentiality
/ Demography
/ Descriptive statistics
/ Economic models
/ Entropy
/ Geography
/ Households
/ Maximum entropy
/ Maximum entropy method
/ Population Distribution
/ Population distributions
/ Population estimates
/ Public use
/ Research Article
/ Spatial models
/ Statistics
/ Studies
/ Validity
2013
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Do you wish to request the book?
Validation of spatially allocated small area estimates for 1880 Census demography
by
Leyk, Stefan
, Buttenfield, Barbara
, Nagle, Nicholas
, Ruther, Matt
, Maclaurin, Galen
in
Age
/ Allocation
/ Census
/ Census data
/ Census of Population
/ Censuses
/ Confidentiality
/ Demography
/ Descriptive statistics
/ Economic models
/ Entropy
/ Geography
/ Households
/ Maximum entropy
/ Maximum entropy method
/ Population Distribution
/ Population distributions
/ Population estimates
/ Public use
/ Research Article
/ Spatial models
/ Statistics
/ Studies
/ Validity
2013
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Validation of spatially allocated small area estimates for 1880 Census demography
Journal Article
Validation of spatially allocated small area estimates for 1880 Census demography
2013
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Overview
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 in which the individual or household is located. 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 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.
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