Static Numbers to Dynamic Statistics: Designing a Policy-Friendly Social Policy Indicator Framework

Sang Hoon Ahn, Young Jun Choi, Young Mi Kim

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In line with the economic crisis and rapid socio-demographic changes, the interest in 'social' and 'well-being' indicators has been revived. Social indicator movements of the 1960s resulted in the establishment of social indicator statistical frameworks; that legacy has remained intact in many national governments and international organisations. With this background, this research examines whether existing social indicator frameworks are valid and effective enough to address increasingly complex social issues. The authors argue that, despite some improvements, current social indicators fail to provide an effective framework and tool for measuring the progress of social welfare and also for developing or reforming social policy to cope with newly emerging social problems. While proposing a new social indicator framework based on the Organisation for Economic Co-operation and Development's pressure-state-response (PSR) model, the paper argues that the new framework should be more than displaying static numbers but should use dynamic statistics revealing causes and effects and shedding light on social and policy changes.

Original languageEnglish
Pages (from-to)387-400
Number of pages14
JournalSocial Indicators Research
Issue number3
Publication statusPublished - 2012 Sept

All Science Journal Classification (ASJC) codes

  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Sociology and Political Science
  • Social Sciences(all)


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