Abstract
A generalised theory for calibration is developed distinguishing two set of variables and leading to instrumental regression estimation in the linear case. The dissymmetry of the variables receives a very interesting application when we apply generalised calibration to the problem of weighting for non-response: one set of variables is connected to factors inducing nonresponse, the second one to variables correlated to the variable of interest. A calibration principle is proposed as an estimation method for the parameters of the response model. Its advantage is to produce a reduction of the variance bound to the calibration. A complete treatment is given in the case of an exhaustive survey, and some indication for the general case. We show also that imputation « weighting-like » can be performed by using of balanced sampling techniques.
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© 2000 Springer-Verlag Berlin Heidelberg
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Deville, JC. (2000). Generalized calibration and application to weighting for non-response. In: Bethlehem, J.G., van der Heijden, P.G.M. (eds) COMPSTAT. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57678-2_6
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DOI: https://doi.org/10.1007/978-3-642-57678-2_6
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1326-5
Online ISBN: 978-3-642-57678-2
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