Calibration Estimation under Non-response and Missing Values in Auxiliary Information

Thomas Laitila () and Lisha Wang ()
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Thomas Laitila: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden, http://www.oru.se/Personal/thomas_laitila/
Lisha Wang: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden

No 2015:2, Working Papers from Örebro University, School of Business

Abstract: The calibration approach is suggested in the literature for estimation in sample surveys under non-response given access to suitable auxiliary information. However, missing values in auxiliary information come up as a thorny but realistic problem. This paper considers the consistency of the calibration estimator suggested by Särndal & Lundström (2005)for estimation under nonresponse, connected with how imputation of auxiliary information based on different levels of register information affects the calibration estimator. An illustration is given with results from a small simulation study.

Keywords: Sample survey; non-response; imputation; consistency; bias (search for similar items in EconPapers)
JEL-codes: C42 C83 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2015-05-06
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:oruesi:2015_002

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