dc.contributor.author
Tzavidis, Nikos
dc.contributor.author
Zhang, Li-Chun
dc.contributor.author
Luna Hernandez, Angela
dc.contributor.author
Schmid, Timo
dc.contributor.author
Rojas-Perilla, Natalia
dc.date.accessioned
2018-06-08T08:19:13Z
dc.date.available
2016-07-04T10:25:45.680Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/19832
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-23335
dc.description.abstract
Small area estimation is a research area in official and survey statistics of
great practical relevance for National Statistical Institutes and related
organisations. Despite rapid developments in methodology and software,
researchers and users would benefit from having practical guidelines that
assist the process of small area estimation. In this paper we propose a
general framework for the production of small area statistics that is based on
three broadly defined stages namely, Specification, Analysis/Adaptation and
Evaluation. The corner stone of the proposed framework is the principle of
parsimony. Emphasis is given on the interaction between a user and a
methodologist for specifying the target geography and parameters in light of
the available data. Model-free and model-dependent methods are described with
focus on model selection and testing, model diagnostics and adaptations e.g.
use of data transformations. The use of uncertainty measures and model and
design-based simulations for method evaluation are also at the centre of the
paper. We illustrate each stage of the process both theoretically and by using
real data for estimating a simple and complex (non-linear) indicators.
en
dc.relation.ispartofseries
urn:nbn:de:kobv:188-fudocsseries000000000532-8
dc.relation.ispartofseries
urn:nbn:de:kobv:188-fudocsseries000000000006-7
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
Design-based methods
dc.subject
Model-based methods
dc.subject.ddc
300 Sozialwissenschaften::310 Statistiken
dc.title
From start to finish
dc.title.subtitle
A framework for the production of small area official statistics
refubium.affiliation
Wirtschaftswissenschaft
de
refubium.mycore.fudocsId
FUDOCS_document_000000024941
refubium.series.issueNumber
2016,13 : Economics
refubium.series.name
Diskussionsbeiträge des Fachbereichs Wirtschaftswissenschaft der Freien Universität Berlin
refubium.mycore.derivateId
FUDOCS_derivate_000000006717
dcterms.accessRights.openaire
open access