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

Author

Listed:
  • Paul Corral

    (World Bank)

  • William Seitz

    (World Bank)

  • Joao Pedro Azevedo

    (World Bank)

  • Minh Cong Nguyen

    (World Bank)

Programming Language

Stata

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.
    • Handle: RePEc:boc:bocode:s458495
    Note: This module should be installed from within Stata by typing "ssc install fhsae". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/f/fhsae.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/f/fhsae.sthlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Masaki,Takaaki & Newhouse,David Locke & Silwal,Ani Rudra & Bedada,Adane & Engstrom,Ryan, 2020. "Small Area Estimation of Non-Monetary Poverty with Geospatial Data," Policy Research Working Paper Series 9383, The World Bank.

    More about this item

    Keywords

    Fay; Herriot; area level model; Stata;
    All these keywords.

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