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Non-response subgroup-tailored weighting: the choice of variables and the set of respondents used to estimate the weighting model

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  • Sadig, Husam

Abstract

The use of the logistic regression model to predict the probability of response and create non-response weights is classic. In most cases, the model is estimated using socio-demographic variables and all units in the selected sample. However, substantive analyses are often restricted to a sub-group of the sample. This paper investigates whether weights are more effective if they are designed using variables correlated with the response propensity in the sub-group in question and sample units in the selected sub-group using data from the British Household Panel Survey (BHPS). The findings demonstrate that, for some estimates, the tailored weights results in significantly different results than the usual weights.

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  • Sadig, Husam, 2014. "Non-response subgroup-tailored weighting: the choice of variables and the set of respondents used to estimate the weighting model," ISER Working Paper Series 2014-36, Institute for Social and Economic Research.
    • Handle: RePEc:ese:iserwp:2014-36
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