The 1990 Post-Enumeration Survey: Operations and Results

Hogan, Howard

doi:10.2307/2290798

Cited by 36 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, undercounting of populations of color (estimated nationally in the 1990 census to have been between 2% and 12%, depending on race/ethnicity, sex, and age) could lead to overestimation of incidence rates among these populations. [32][33][34] This marginal inflation of rates due to an undercounted denominator, however, is insufficient to explain the magnitudes of excess AIDS incidence by race/ ethnicity that we observed. Notably, however, racial/ethnic disparities apparent within our block-group socioeconomic strata are likely to reflect residual confounding, since Black residents of a wealthy block-group, for example, are likely to be less wealthy than their White counterparts, while White residents of a poor block-group are less likely to be as impoverished as their Black counterparts.…”

Section: Possible Sources Of Error Affecting Study Resultsmentioning

confidence: 81%

Economic deprivation and AIDS incidence in Massachusetts

Zierler¹,

Krieger²,

Tang³

et al. 2000

Am J Public Health

104

View full text Add to dashboard Cite

OBJECTIVES: This study quantified AIDS incidence in Massachusetts in relation to economic deprivation. METHODS: Using 1990 census block-group data, 1990 census population counts, and AIDS surveillance registry data for the years 1988 through 1994, we generated yearly and cumulative AIDS incidence data for the state of Massachusetts stratified by sex and by neighborhood measures of economic position for the total, Black, Hispanic, and White populations. RESULTS: Incidence of AIDS increased with economic deprivation, with the magnitude of these trends varying by both race/ethnicity and sex. The cumulative incidence of AIDS in the total population was nearly 7 times higher among persons in block-groups where 40% or more of the population was below the poverty line (362 per 100,000) than among persons in block-groups where less than 2% of the population was below poverty (53 per 100,000). CONCLUSIONS: Observing patterns of disease burden in relation to neighborhood levels of economic well-being elucidates further the role of poverty as a population-level determinant of disease burden. Public health agencies and researchers can use readily available census data to describe neighborhood-level socioeconomic conditions. Such knowledge expands options for disease prevention and increases the visibility of economic inequality as an underlying cause of AIDS.

show abstract

Section: Possible Sources Of Error Affecting Study Resultsmentioning

confidence: 81%

Economic deprivation and AIDS incidence in Massachusetts

Zierler¹,

Krieger²,

Tang³

et al. 2000

Am J Public Health

104

View full text Add to dashboard Cite

show abstract

“…In the context of the US Census Bureau, the reference date for PES counting would be Census Night and the PES is referred to as the P-sample, as it is a sample of the population (Hogan 1993(Hogan , 2003.…”

Section: Traditional Approachmentioning

confidence: 99%

“…In the US context, this involves selecting a sample of Census records and confirming whether the enumerations were correct. This sample is referred to as the E-sample (Hogan 1993). For the kth Census record sampled in the E-sample, we resolve whether the record should have been enumerated (e k ¼ 1) or should not have been enumerated (e k ¼ 0).…”

Section: Estimating Over-and Undercoverage Using E-and P-samplesmentioning

confidence: 99%

“…A classical approach to estimating person counts is the Dual System Estimator (DSE) as developed in Sekar and Deming (1949). In this traditional form, the DSE has been widely used by national statistical agencies, including the US Census Bureau Bureau (see Xi Chien and Tang 2011;Mule 2008;Griffin and Mule 2008;Alho et al 1993;and Hogan 1993) and the Office for National Statistics (ONS) (see Brown et al 1999;Brown et al 2006). However, in the Australian context, the Australian Bureau of Statistics (ABS) has developed an approach that differs fundamentally from the US and UK approach on perhaps three points.…”

Section: Introductionmentioning

confidence: 99%

“…First, in the US, the approach has developed with two independent 'audit' sample surveys of the Census (see Hogan 1993). In the UK (see Large et al 2011), the approach has developed from a single independent coverage survey (audit sample) but with separate adjustments for erroneous enumerations (overcoverage and undercoverage).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimating the Count Error in the Australian Census

Chipperfield

Brown

Bell

2017

Journal of Official Statistics

View full text Add to dashboard Cite

In many countries, counts of people are a key factor in the allocation of government resources. However, it is well known that errors arise in Census counting of people (e.g., undercoverage due to missing people). Therefore, it is common for national statistical agencies to conduct one or more “audit” surveys that are designed to estimate and remove systematic errors in Census counting. For example, the Australian Bureau of Statistics (ABS) conducts a single audit sample, called the Post Enumeration Survey (PES), shortly after each Australian Population Census. This article describes the estimator used by the ABS to estimate the count of people in Australia. Key features of this estimator are that it is unbiased when there is systematic measurement error in Census counting and when nonresponse to the PES is nonignorable.

show abstract

References

1999

Analysis of Health Surveys

View full text Add to dashboard Cite

The 1990 Post-Enumeration Survey: Operations and Results

Cited by 36 publications

References 0 publications

Economic deprivation and AIDS incidence in Massachusetts

Economic deprivation and AIDS incidence in Massachusetts

Estimating the Count Error in the Australian Census

References

Contact Info

Product

Resources

About