Scandinavian Working Papers in Economics

Working Papers,
Örebro University, School of Business

No 2015:2: Calibration Estimation under Non-response and Missing Values in Auxiliary Information

Thomas Laitila () and Lisha Wang ()
Additional contact information
Thomas Laitila: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden
Lisha Wang: Örebro University School of Business, Postal: Örebro University, School of Business, SE - 701 82 ÖREBRO, Sweden

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

JEL-codes: C42; C83

13 pages, May 6, 2015

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