Application of sampling variance smoothing methods for small area proportion estimation
Articles and reports: 11-522-X202200100005Description: Sampling variance smoothing is an important topic in small area estimation. In this paper, 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 indicate that the proposed sampling variance smoothing methods work very well for small area estimation.
Issue Number: 2022001Author(s): You, Yong; Hidiroglou, MikeMain Product:Statistics Canada International Symposium Series: Proceedings
