Estimation strategy for small areas, a case study

Nekrašaitė-Liegė, Vilma

Use this url to cite publication: https://hdl.handle.net/20.500.14911/138973

Estimation strategy for small areas, a case study

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje užsienio konferencijos medžiagoje / Article in peer-reviewed foreign conference proceedings (P1g)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

Author(s)

Author	Affiliation
Nekrašaitė-Liegė, Vilma	Matematinės statistikos katedra / Department of Mathematical Statistics (1022)

Title

Estimation strategy for small areas, a case study

[en]

Nekrašaitė-Liegė Vilma

Is part of

Workshop of Baltic-Nordic-Ukrainian Network on Survey Statistics : lecture materials and contributed papers. August 24-28, 2012, Valmiera, Latvia / University of Latvia, Central Statistical Bureau of Latvia

Published In

Year	Start Page	End Page
2012	143	147

Publisher

Riga : University of Latvia, 2012

Extent

p. 143-147

URI

URI
https://hdl.handle.net/20.500.14911/138973

Cited references

Science / Art Area

Gamtos mokslai / Natural Sciences (N)

Field of Science / Art

Matematika / Mathematics (N001)

Keywords (en)

Abstract (en)

The purpose of this research is to nd optimal strategy (pair of sample design and estimator) for small area estimation. Thus, the de nition of a balanced sample and two special cases of balanced samples are presented. The study variable and auxiliary information are time series, thus the di erent unit level panel-type models are used not only in estimation stage, but and in sample selection stage. The simulation results showed, that the impact of the chosen model is larger for the small domains than for the large ones. Also results showed that the use of the panel type model in sample selection and estimation stages improves the accuracy of the estimate.