Small area estimation of poverty proportions under unit-level temporal binomial-logit mixed models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F18%3A00315975" target="_blank" >RIV/68407700:21340/18:00315975 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s11749-017-0545-3" target="_blank" >http://dx.doi.org/10.1007/s11749-017-0545-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11749-017-0545-3" target="_blank" >10.1007/s11749-017-0545-3</a>
Alternative languages
Result language
angličtina
Original language name
Small area estimation of poverty proportions under unit-level temporal binomial-logit mixed models
Original language description
Poverty proportions are averages of dichotomic variables that can be explained by unit-level binomial-logit mixed models. The change between the poverty proportions of two consecutive years is an indicator describing the evolution of poverty. This paper applies a unit-level temporal binomial-logit mixed model for estimating poverty proportions and their changes. The model parameters are estimated by the maximum likelihood method for the Laplace approximation of the loglikelihood. The empirical best predictors (EBP) of proportions and changes are calculated and compared with plug-in estimators. The mean squared error of the EBP is estimated by a parametric bootstrap. A simulation experiment is carried out to study the empirical behavior of the EBP and the plug-in estimators. An application to the estimation of poverty proportions and changes in counties of the region of Valencia, Spain, is given.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
TEST
ISSN
1133-0686
e-ISSN
1863-8260
Volume of the periodical
27
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
25
Pages from-to
270-294
UT code for WoS article
000431692900002
EID of the result in the Scopus database
2-s2.0-85020754858