Template-type: ReDIF-Paper 1.0
Author-Name: Sadig, Husam
Title: Non-response subgroup-tailored weighting: the choice of variables and the set of respondents used to estimate the weighting model
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.

Creation-Date: 20141017
Number: 2014-36
Publication-Status: published
File-URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/iser/2014-36.pdf
File-Format: Application/pdf
Handle: RePEc:ese:iserwp:2014-36