Addressing the Social Determinants of Subjective Wellbeing: The Latest Challenge for Social Policy

We develop bivariate and multivariate logistic regression models, as well as testing for interaction effects in the data

CHRISTOPHER DEEMING

2013

Scholarcy highlights

  • In this article, we draw on national social survey data to identify and report on the social determinants of wellbeing in the UK and we consider some of the challenges the findings present for social policy
  • We review some of the latest developments in subjective wellbeing research, and we consider how SWB is being measured by the Office for National Statistics in the UK
  • We develop bivariate and multivariate logistic regression models, as well as testing for interaction effects, in order to assess the socio-economic and demographic characteristics that help to predict wellbeing in the national population
  • We have considered the application of the survey data for understanding the social determinants of SWB, and here we reflect on how the new insights may be used to inform the development of social policy
  • We have focused on SWB and the emerging Measuring National Wellbeing programme that offers much potential for the development of social policy, informed by the rigorous analysis of survey data within the social scientific tradition
  • The value of social policy is that it recognises the plurality of human ends and needs, and as such it invokes our social values and principles for thinking about resources, material circumstances, and their distributions

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