1 / 4

Measuring Happiness and Making Policy

Measuring Happiness and Making Policy. Gert G. Wagner OECD Global Project - Measuring the Progress of Societies, Istanbul, June 27-30, 207. Making Policy. Good policy actions require causal inference Cross-sectional studies do not allow to draw causal inference

sana
Télécharger la présentation

Measuring Happiness and Making Policy

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Measuring Happiness and Making Policy Gert G. Wagner OECD Global Project - Measuring the Progress of Societies, Istanbul, June 27-30, 207

  2. Making Policy • Good policy actions require causal inference • Cross-sectional studies do not allow to draw causal inference • Natural experiments are rare • Longitudinal studies are rare too

  3. Longitudinal Studies • Longitudinal studies which contain variables about subjective well-being • BHPS • German SOEP • ECHP • e. g. Andrew Clark, Paul Frijters and Michael Shields, Relative Income, Happiness and Utility, IZA Discussion Paper No. 2840, Bonn

  4. Evidence Based Policy Actions • Basis: negative impact on satisfaction with life in general after occurence of unemployment, disability and commuting • Fighting unemployment • Information campaign about commuting • Better saftey regulations (e. g. at workplace)

More Related