scholarly journals Evaluation of small area population estimates produced by Housing Unit, Ratio-correlation and Component Method II compared to 2000 Census counts

2012 ◽  
Vol 39 (1-2) ◽  
pp. 91 ◽  
Author(s):  
Nazrul Hoque
Keyword(s):  
Small Area ◽  
Population Change ◽  
Correlation Method ◽  
Housing Unit ◽  
Estimation Methods ◽  
Population Estimates ◽  
Component Method ◽  
Ratio Correlation ◽  
Single Method ◽  
Housing Unit Method

This paper evaluates small area population estimates produced by the Housing Unit Method, Ratio-correlation Method, Component Method II, and the average of all three methods compared to the 2000 Census counts for the 254 counties and 1,279 places in Texas. This evaluation of three estimation methods shows the expected patterns of error by population size and population change. Of the three methods tested, no single method produced more accurate estimates than the average of two or three methods. The assessment of the accuracy of the place-level estimates show substantially higher levels of errors than those found for counties.

scholarly journals Accuracy of the housing unit method in preparing population estimates for cities

Demography ◽  
1968 ◽  
Vol 5 (1) ◽  
pp. 475-484 ◽  
Author(s):  
Donald E. Starsinic ◽  
Meyer Zitter
Keyword(s):  
Housing Unit ◽  
Population Estimates ◽  
Housing Unit Method

Accuracy of the Housing Unit Method in Preparing Population Estimates for Cities

Demography ◽  
1968 ◽  
Vol 5 (1) ◽  
pp. 475 ◽  
Author(s):  
Donald E. Starsinic ◽  
Meyer Zitter
Keyword(s):  
Housing Unit ◽  
Population Estimates ◽  
Housing Unit Method

Accuracy of the Ratio-Correlation Method for Estimating Postcensal Population

1954 ◽  
Vol 30 (3) ◽  
pp. 279 ◽  
Author(s):  
Robert C. Schmitt ◽  
Albert H. Crosetti
Keyword(s):  
Correlation Method ◽  
Ratio Correlation

scholarly journals District level child nutrition status in Bangladesh: An application of small area estimation method

2019 ◽  
Vol 53 (1) ◽  
pp. 45-61
Author(s):  
Mossamet Kamrun Nesa
Keyword(s):  
Small Area ◽  
Child Nutrition ◽  
Small Area Estimation ◽  
Estimation Method ◽  
Nutrition Status ◽  
Estimation Methods ◽  
Small Scale ◽  
Demographic Health Survey ◽  
Area Estimation ◽  
National Surveys

National level indicators of child undernutrition often hide the real scenario across a country. In order to construct a child nutrition map, accurate estimates of undernutrition are required at very small spatial scales, typically the administrative units of a country or a region within a country. Although comprehensive data on child nutrition are collected in national surveys, the small scale estimates cannot be calculated using the standard estimation methods employed in national surveys, since such methods are designed to produce national or regional level estimates, and assume large samples. Small area estimation method has been widely used to find such micro-level estimates. Due to lack of unit level data, area level small area estimation methods (e.g., Fay-Herriot method) are widely used to calculate small-scale estimates. In Bangladesh, a few works have been done to estimate district level child nutrition status. The Bangladesh Demographic Health Survey covers all districts but district wise sample sizes are very small to get consistent estimates. In this paper, Fay-Herriot Model has been developed to calculate district wise estimates with efficient mean squared error. The Bangladesh Demographic Health Survey 2011 and Population Census 2011 are utilized for this study.

Sign in / Sign up

Export Citation Format

Share Document