The University of Southampton
University of Southampton Institutional Repository

Quarterly small area estimates of extreme poverty in Brazil using transformed Fay-Herriot models

Quarterly small area estimates of extreme poverty in Brazil using transformed Fay-Herriot models
Quarterly small area estimates of extreme poverty in Brazil using transformed Fay-Herriot models


2325-0984
Pinheiro Jacob, Guilherme A.
79ef5dfd-bfaf-4579-8847-c0fe84ecd164
Tzavidis, Nikos
431ec55d-c147-466d-9c65-0f377b0c1f6a
Luna Hernandez, Angela
b4de50ed-b80a-4202-aaad-c97d057369ed
do Nascimento Silva, Pedro Luis
1f27d082-a542-491b-bdf2-bf67d53216d8
Pinheiro Jacob, Guilherme A.
79ef5dfd-bfaf-4579-8847-c0fe84ecd164
Tzavidis, Nikos
431ec55d-c147-466d-9c65-0f377b0c1f6a
Luna Hernandez, Angela
b4de50ed-b80a-4202-aaad-c97d057369ed
do Nascimento Silva, Pedro Luis
1f27d082-a542-491b-bdf2-bf67d53216d8

Pinheiro Jacob, Guilherme A., Tzavidis, Nikos, Luna Hernandez, Angela and do Nascimento Silva, Pedro Luis (2025) Quarterly small area estimates of extreme poverty in Brazil using transformed Fay-Herriot models. Journal of Survey Statistics and Methodology. (In Press)

Record type: Article

Abstract



Text
JSSM_Jacob_Tzavidis_et al. - Accepted Manuscript
Restricted to Repository staff only until 15 July 2026.
Request a copy

More information

Accepted/In Press date: 15 July 2025

Identifiers

Local EPrints ID: 503472
URI: http://eprints.soton.ac.uk/id/eprint/503472
ISSN: 2325-0984
PURE UUID: 867363fa-0d2c-411d-b2a9-7f4b6305a5bd
ORCID for Nikos Tzavidis: ORCID iD orcid.org/0000-0002-8413-8095
ORCID for Angela Luna Hernandez: ORCID iD orcid.org/0000-0001-8629-1918

Catalogue record

Date deposited: 04 Aug 2025 16:30
Last modified: 05 Aug 2025 01:46

Export record

Contributors

Author: Guilherme A. Pinheiro Jacob
Author: Nikos Tzavidis ORCID iD
Author: Pedro Luis do Nascimento Silva

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×