Benefit ‘myths’? The accuracy and inaccuracy of public beliefs about the benefits system

Baumberg Geiger, Ben (2017) Benefit ‘myths’? The accuracy and inaccuracy of public beliefs about the benefits system. Social Policy and Administration, . ISSN 0144-5596. E-ISSN 1467-9515. (doi: (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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There is a widespread assumption by academics and commentators that negative public attitudes to the benefits system are due to ‘myths’ held by the British public. However, there is little research on whether the public believe these ‘myths’, nor critical scrutiny of benefit ‘truths’. This article therefore investigates what British people believe about the benefits system, and the extent to which these beliefs can be regarded as correct. To do this, we use 46 measures from 18 datasets (including British Social Attitudes, the European Social Survey, Eurobarometer, and surveys by YouGov and Ipsos MORI made available for academic study for the first time), and compare these perceptions to true figures obtained from a variety of sources. We find that – against expectations – there are some areas where the public are (on average) relatively accurate (e.g. the share of the population who currently claim out-of-work benefits). Yet overall, our evidence shows that the British public have low levels of understanding of the benefits system, primarily in ways that seem likely to undermine public support. People wildly overestimate unemployment benefits compared to pensions, the value of unemployment benefits, and misperceive trends in claims. While it is difficult to know the true level of benefit fraud exactly, the public overestimate fraud compared to any reasonable figure. We conclude by discussing the implications for both understanding and changing attitudes towards benefits.

Item Type: Article
Divisions: Faculties > Social Sciences > School of Social Policy Sociology and Social Research
Depositing User: Ben Baumberg Geiger
Date Deposited: 12 Jul 2017 08:04 UTC
Last Modified: 20 Feb 2018 11:13 UTC
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