Skip to content

Conference Paper Joint Empirical Social Science Seminar

Patterns of Consent: evidence from a general household survey

Authors

Publication date

17 Nov 2004

Abstract

We analyse consent patterns and consent bias in the context of a large general household survey, the 'Improving survey measurement of income and employment' (ISMIE) survey, also addressing issues that arise when there are multiple consent questions. Using a multivariate probit regression model for four binary outcomes with two incidental truncations, we show that there are biases in consent to data linkage with benefit and tax credit administrative records held by the Department for Work and Pensions, and with wage and employment data held by employers, and also in respondents' willingness and ability to supply their National Insurance Number. The biases differ according to the question considered, however. We also show that modelling consent questions independently rather than jointly may lead to misleading inferences about consent bias. A positive correlation between unobservable individual factors affecting consent to DWP record linkage and consent to employer record linkage is suggestive of a latent individual consent propensity.


Related publications

  1. Patterns of consent: evidence from a general household survey

    Stephen P. Jenkins, Lorenzo Cappellari, Peter Lynn, et al.

  2. Patterns of consent: evidence from a general household survey

    Stephen P. Jenkins, Lorenzo Cappellari, Peter Lynn, et al.

#518211


Research home

Research home

News

Latest findings, new research

Publications search

Search all research by subject and author

Podcasts

Researchers discuss their findings and what they mean for society

Projects

Background and context, methods and data, aims and outputs

Events

Conferences, seminars and workshops

Survey methodology

Specialist research, practice and study

Taking the long view

ISER's annual report

Themes

Key research themes and areas of interest