00000nam 2200000za 4500 9.852578 CaOODSP 20221107154621 cr ||||||||||| 180228s2006 onc #os f|0| 0 eng d CaOODSP eng n-cn--- CS11-619/2006-7E-PDF Merkouris, Takis. Efficient small-domain estimation by combining information from multiple surveys through regression [electronic resource] / Takis Merkouris. [Ottawa] : Statistics Canada, 2006. 21 p. Working paper ; 2006-7 Digitized edition from print [produced by Statistics Canada]. "HSMD-2006-007E." "June 2006." Includes bibliographic references. "In this paper, we explore the possibility of enhancing the precision of domain estimators by combining comparable information collected in multiple surveys of the same population. To this end, we propose a regression method of estimation that is essentially an extended calibration procedure whereby comparable domain estimates from the various surveys are calibrated to each other. We show through analytic results and an empirical study that this method may greatly improve the precision of domain estimators for the variables that are common to these surveys, as these estimators make effective use of increased sample size for the common survey items. The proposed design-based direct estimators involve only domain-specific data on the variables of interest. This is in contrast to small-domain (mostly, small-area) indirect estimators, based on a single survey, which incorporate through modeling data that are external to the targeted small domains. The proposed approach is also highly effective in handling the closely related problem of estimation for rare population characteristics"--Abstract. Abstract also in French. gccst Methodology gccst Statistical analysis gccst Surveys Canada. Statistics Canada. Methodology Branch. Household Survey Methods Division. Working paper (Statistics Canada. Methodology Branch) 2006-7 (CaOODSP)9.834763 PDF 2.87 MB https://publications.gc.ca/collections/collection_2018/statcan/11-613/CS11-619-2006-7-eng.pdf 11-619E no. 2006-007