Use this url to cite publication: https://hdl.handle.net/20.500.14911/134006
Some applications of panel data models in small area estimation
Publication Type (CRIS)
Straipsnis kitoje duomenų bazėje / Article in other database (S4)
Publication Type (eLABa)
Straipsnis kitoje DB / Article in other DB (S3)
Author(s)
Title
Some applications of panel data models in small area estimation
Vilma Nekrašaitė-Liegė
Is part of
Statistics in transition: journal of the Polish Statistical Association
Published In
| Year | Volume | Issue | Start Page | End Page |
|---|---|---|---|---|
2011 | 12 | 2 | 265 | 280 |
Publisher
Warszawa : Central Statistical Office of Poland
Referenced in Database(s)(DBs)
Extent
p. 265-280
URI
| URI | Access Rights |
|---|---|
| https://hdl.handle.net/20.500.14911/134006 | |
| Straipsnis | Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access) |
Cited references
16
Science / Art Area
Gamtos mokslai / Natural Sciences (N)
Field of Science / Art
Matematika / Mathematics (N001)
Abstract (en)
This study uses a real population from Statistics Lithuania to investigate the performance of different types of estimation strategies. The estimation strategy is a combination of sampling design and estimation design. The sampling designs include equal probability design (SRS) and unequal probability designs (stratified SRS and model-based sampling designs). Design-based direct Horvitz- Thompson, indirect model-assisted GREG estimator and indirect model-based estimator are used to estimate the totals in small area estimation. The underlying panel-type models (linear fixed-effects type or linear random-effects type) are examined in both stages of estimation strategies: sample design and construction of estimators.
Resource Type (COAR)
TextJournalJournal articleResearch article
Language
Anglų / English (en)
Country
Lenkija / Poland (PL)
Accounting Year
2012
Owning collection
ISSN (of the container)
1234-7655
eLABa ID
3971317