Cookies?
Library Header Image
LSE Research Online LSE Library Services

Alternative approaches to multilevel modelling of survey non-contact and refusal

Steele, Fiona ORCID: 0000-0001-6417-7444 and Durrant, Gabriele B. (2011) Alternative approaches to multilevel modelling of survey non-contact and refusal. International Statistical Review, 79 (1). pp. 70-91. ISSN 0306-7734

[img]
Preview
PDF - Accepted Version
Download (740kB) | Preview
Identification Number: 10.1111/j.1751-5823.2011.00133.x

Abstract

We review three alternative approaches to modelling survey non-contact and refusal: multinomial, sequential, and sample selection (bivariate probit) models. We then propose a multilevel extension of the sample selection model to allow for both interviewer effects and dependency between non-contact and refusal rates at the household and interviewer level. All methods are applied and compared in an analysis of household non-response in the United Kingdom, using a data set with unusually rich information on both respondents and non-respondents from six major surveys. After controlling for household characteristics, there is little evidence of residual correlation between the unobserved characteristics affecting non-contact and refusal propensities at either the household or the interviewer level. We also find that the estimated coefficients of the multinomial and sequential models are surprisingly similar, which further investigation via a simulation study suggests is due to non-contact and refusal having largely different predictors.

Item Type: Article
Official URL: http://onlinelibrary.wiley.com/journal/10.1111/(IS...
Additional Information: © 2011 The Authors
Divisions: Statistics
Subjects: H Social Sciences > HA Statistics
Date Deposited: 08 May 2013 13:19
Last Modified: 01 Oct 2024 03:38
URI: http://eprints.lse.ac.uk/id/eprint/50113

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics