Number of the records: 1
Modern Mathematical Tools and Techniques in Capturing Complexity
- 1.
SYSNO ASEP 0366043 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Small Area Estimation of Poverty Proportions under Random Regression Coefficient Models Author(s) Hobza, Tomáš (UTIA-B)
Morales, D. (ES)Number of authors 2 Source Title Modern Mathematical Tools and Techniques in Capturing Complexity. - Berlin : Springer, 2011 / Pardo L. ; Balakrishnan N. ; Gil M. A. - ISSN 1860-0832 - ISBN 978-3-642-20852-2 Pages s. 315-328 Number of pages 14 s. Number of pages 512 Language eng - English Country DE - Germany Keywords small area estimation ; random regression coefficient model ; EBLUP estimates Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) DOI 10.1007/978-3-642-20853-9_22 Annotation In this paper a random regression coefficient model is used to provide estimates of small area poverty proportions. As poverty variable is dichotomic at the individual level, the sample data from Spanish Living Conditions Survey is previously aggregated to the level of census sections. EBLUP estimates based on the proposed model are obtained. A closed-formula procedure to estimate the mean squared error of the EBLUP estimators is given and empirically studied. Results of several simulations studies are reported as well as an application to real data. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
Number of the records: 1