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Sadig, Husam
Year of Publication: 
Series/Report no.: 
ISER Working Paper Series 2014-36
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.
Non-response bias
Weighting variables
Life satisfaction
Document Type: 
Working Paper

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