area, variance estimation Abstract: Congress has charged the Census Bureau with the responsibility to develop postcensal estimates of basic income and poverty statistics by state, county, and subcounty areas. The March Supplement to the Current Population Survey (CPS), based on a sample size of about 65,000 households, provides national estimates for these characteristics annually, but the sample size is insufficient to provide reliable direct estimates at all or even most levels of detail requested by Congress. The paper reports on two aspects of the estimation problem: 1) variance estimation for the CPS sample estimates, and 2) features of some candidate small area models that might be used to produce the required estimates at the state ...
To assess the coverage of persons and housing units in the 2010 Census, the United States Census Bur...
The problem of Small Area Estimation is how to produce reliable estimates of area (domain) character...
Household expenditure survey data cannot yield precise estimates of poverty or inequality for small ...
This paper eports preliminary results of the Census Bureau's investigation of small area estima...
for various age groups for states, counties, and school districts. The state and county estimates ar...
project to estimate numbers of poor school-age children by state, county and ultimately school distr...
The use of hierarchical Bayesian small area models, which take survey estimates along with auxiliary...
What are the relationships between poverty and the stereotypes of poor areas? Do Census Bureau esti...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This dissertation concerns model selection as well as resampling methods in small-area estimation an...
The United States Census Bureau has been compiling income estimates annually since 1947. These estim...
Linear area level models for small area estimation, such as the Fay-Herriot model, face challenges w...
This paper examines the performance of small area welfare estimation. The method combines census and...
Recent developments in small area estimation methods facilitate the production of poverty and inequa...
Supporting paper submitted by the United States1 I. BACKGROUND 1. The United States conducts a decen...
To assess the coverage of persons and housing units in the 2010 Census, the United States Census Bur...
The problem of Small Area Estimation is how to produce reliable estimates of area (domain) character...
Household expenditure survey data cannot yield precise estimates of poverty or inequality for small ...
This paper eports preliminary results of the Census Bureau's investigation of small area estima...
for various age groups for states, counties, and school districts. The state and county estimates ar...
project to estimate numbers of poor school-age children by state, county and ultimately school distr...
The use of hierarchical Bayesian small area models, which take survey estimates along with auxiliary...
What are the relationships between poverty and the stereotypes of poor areas? Do Census Bureau esti...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This dissertation concerns model selection as well as resampling methods in small-area estimation an...
The United States Census Bureau has been compiling income estimates annually since 1947. These estim...
Linear area level models for small area estimation, such as the Fay-Herriot model, face challenges w...
This paper examines the performance of small area welfare estimation. The method combines census and...
Recent developments in small area estimation methods facilitate the production of poverty and inequa...
Supporting paper submitted by the United States1 I. BACKGROUND 1. The United States conducts a decen...
To assess the coverage of persons and housing units in the 2010 Census, the United States Census Bur...
The problem of Small Area Estimation is how to produce reliable estimates of area (domain) character...
Household expenditure survey data cannot yield precise estimates of poverty or inequality for small ...