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Matching information from two independent informative samples

Matching information from two independent informative samples
Matching information from two independent informative samples

Statistical matching deals with the problem of how to combine information collected in different samples taken from the same target population, but on partly different survey variables. The purpose of this paper is to analyze the statistical matching problem under informative sampling designs, when applying the sample likelihood approach. First, a conditional independence assumption is made, which allows to define an identifiable population model under which the conditions guaranteeing the identifiability and estimability of the sample likelihood are investigated. Next, the uncertainty in statistical matching under informative sampling designs is discussed, with particular attention to the three-variate normal case. A simulation experiment illustrating the theoretical results is performed.

Conditional independence, Informative sampling, Matching uncertainty, Sample distribution, Sample likelihood
0378-3758
70-81
Marella, Daniela
389be9c8-ff35-4ce5-91f6-3e29ccc53baa
Pfeffermann, Danny
c7fe07a0-9715-42ce-b90b-1d4f2c2c6ffc
Marella, Daniela
389be9c8-ff35-4ce5-91f6-3e29ccc53baa
Pfeffermann, Danny
c7fe07a0-9715-42ce-b90b-1d4f2c2c6ffc

Marella, Daniela and Pfeffermann, Danny (2019) Matching information from two independent informative samples. Journal of Statistical Planning and Inference, 203, 70-81. (doi:10.1016/j.jspi.2019.03.001).

Record type: Article

Abstract

Statistical matching deals with the problem of how to combine information collected in different samples taken from the same target population, but on partly different survey variables. The purpose of this paper is to analyze the statistical matching problem under informative sampling designs, when applying the sample likelihood approach. First, a conditional independence assumption is made, which allows to define an identifiable population model under which the conditions guaranteeing the identifiability and estimability of the sample likelihood are investigated. Next, the uncertainty in statistical matching under informative sampling designs is discussed, with particular attention to the three-variate normal case. A simulation experiment illustrating the theoretical results is performed.

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Accepted/In Press date: 5 March 2019
e-pub ahead of print date: 15 March 2019
Published date: December 2019
Keywords: Conditional independence, Informative sampling, Matching uncertainty, Sample distribution, Sample likelihood

Identifiers

Local EPrints ID: 431777
URI: http://eprints.soton.ac.uk/id/eprint/431777
ISSN: 0378-3758
PURE UUID: e970f97f-bc5d-4e5c-8dec-2a8509909198

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Date deposited: 14 Jun 2019 16:30
Last modified: 07 Oct 2020 06:44

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