FHSAE: Stata module to fit an area level Fay-Herriot model

Abstract

fhsae Supports Fay-Herriot's EBLUP small area estimation methods. Translated from R's SAE package from Molina and Marhuenda.

Suggested Citation

Paul Corral & William Seitz & Joao Pedro Azevedo & Minh Cong Nguyen, 2018. "FHSAE: Stata module to fit an area level Fay-Herriot model," Statistical Software Components S458495, Boston College Department of Economics.

References

Molina, I., Marhuenda, Y. (2015). R package sae: Methodology.

Chandra, H., Sud, U. C., & Gupta, V. K. (2013). Small Area Estimation under Area Level Model
Using R Software.

Molina, I., & Marhuenda, Y. (2015). sae: An R package for small area estimation. The R
Journal, 7(1), 81-98.

Fay III, R. E., & Herriot, R. A. (1979). Estimates of income for small places: an application
of James-Stein procedures to census data. Journal of the American Statistical Association,
74(366a), 269-277.

Handle: RePEc:boc:bocode:s458495

Note:

This module should be installed from within Stata by typing "ssc install fhsae". Windows users should not attempt to download these files with a web browser.

Keywords

Fay; Herriot; area level model

Authors:

Paul Corral
pcorralrodas@worldbank.org
World Bank

William Seitz
World Bank

João Pedro Azevedo
jazevedo@worldbank.org
World Bank
personal page

Minh Cong Nguyen
mnguyen3@worldbank.org
World Bank