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Aligning estimates from different surveys using empirical likelihood methods

Kabzinska, Ewa and Berger, Yves G. (2015) Aligning estimates from different surveys using empirical likelihood methods At New Techniques and Technologies for Statistics (NTTS) 2015, Belgium. 10 - 12 Mar 2015. 5 pp.

Record type: Conference or Workshop Item (Paper)


It is often the case that several surveys carried out independently in the same population measure some common variables. The population level parameters associated with these common variables are often unknown. Whether the common variable is of interest itself or is treated as an auxiliary information for estimation of other parameters, it may be beneficial to combine information gathered separately in different surveys. Combining information will usually increase precision and ensure that estimates are consistent across surveys. By consistency we mean a requirement that both samples give the same point estimate for the unknown population level parameter associated with the common variable. Typically there are also other side variables measured in the surveys, for which population level parameters, such as totals or means, are known. These variables are used to create benchmark constraints

PDF Kabzinska_Aligning_estimates_from_different_surveys_using_EL_methods.pdf - Accepted Manuscript
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Published date: March 2015
Venue - Dates: New Techniques and Technologies for Statistics (NTTS) 2015, Belgium, 2015-03-10 - 2015-03-12
Organisations: Statistical Sciences Research Institute


Local EPrints ID: 375510
PURE UUID: 3346108e-b7c8-468c-9b11-cd83bf1d15ac

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Date deposited: 27 Mar 2015 14:15
Last modified: 17 Jul 2017 21:16

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Author: Ewa Kabzinska
Author: Yves G. Berger

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