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Activity Number: 492
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #320343
Title: Calibration of Design Weights Using a Power Transformation
Author(s): Sarjinder Singh* and Veronica Salinas and Stephen Sedory
Companies: Texas A&M University - Kingsville and Texas A&M University - Kingsville and Texas A&M University - Kingsville
Keywords: Empirical log-likelihood ; Estimation of population total ; Auxiliary information ; Two-Step calibration ; Searls' shrinkage

In this note, a new method of calibration of design weights has been suggested by following the two-step calibration approach of Singh and Sedory (2013, 2015). The traditional empirical log- likelihood estimator due to Owen (1998) is shown to be a special case of it. In addition the resultant new estimator is shown to have properties similar to the well known shrinkage estimator due to Searls (1964). The minimum mean squared error of the new proposed estimator is shown to be always less than that of the traditional empirical log likelihood estimator.

Authors who are presenting talks have a * after their name.

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