COMPARISONS OF SOME WEIGHTING METHODS FOR NONRESPONSE ADJUSTMENT

Bernardo Joao Rota, Thomas Laitila

Abstract


Sample and population auxiliary information have been demonstrated to be useful and yield approximately equal resultsin large samples. Several functional forms of weights are suggested in the literature. This paper studies the properties of calibrationestimators when the functional form of response probability is assumed to be known. The focus is on the difference between populationand sample level auxiliary information, the latter being demonstrated to be more appropriate for estimating the coefficients in theresponse probability model. Results also suggest a two-step procedure, using sample information for model coefficient estimation inthe first step and calibration estimation of the study variable total in the second step.

Keywords


calibration, auxiliary variables, response probability, maximum likelihood.

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Lithuanian Journal of Statistics ISSN 1392-642X, eISSN 2029-7262
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