Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation-Reference-Cited by-同舟云学术

Application of Sampling Variance Smoothing Methods for Small Area Proportion Estimation

Published:2023-12-01 Issue:4 Volume:39 Page:571-590
ISSN:2001-7367
Container-title:Journal of Official Statistics
language:en
Short-container-title:

Author:

You Yong¹,Hidiroglou Mike¹

Affiliation:

1. 1 Statistics Canada , Ottawa , , Canada

Abstract

Abstract Sampling variance smoothing is an important topic in small area estimation. In this article, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis and simulation study indicate that the proposed sampling variance smoothing methods perform very well for small area estimation.

Publisher

SAGE Publications

Subject

Statistics and Probability

Link

https://www.sciendo.com/pdf/10.2478/jos-2023-0026

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