Abstract
La simpleza de los rankings mundiales de la felicidad ha facilitado su acogida en los debates sobre politicas publicas, que estan deseosos por incorporar nuevas medidas del bienestar de las sociedades. Lamentablemente, estos han sido interpretados de forma poco cuidadosa, tratando las diferencias entre paises como si tuvieran una certeza que en la practica no tienen. En la presente Clave de Politica Publica mostramos que es posible reconocer la incertidumbre de estos rankings utilizando intervalos de confianza para los promedios nacionales de felicidad y definiendo puntos de referencia, sin por ello sacrificar la simpleza que hace tan atractivos a los rankings mundiales de felicidad. Tomando cuenta solo las diferencias estadisticamente significativas respecto a Chile, observamos que las conclusiones obtenidas no exageran las diferencias entre paises.Global happiness rankings have flourished during the past decade, getting increased attention in public policy debates throughout the world. Policymakers and academics are demanding new measures of societal well-being that go beyond income. International organizations such as the UN and OECD are supporting the development of multidimensional measures of well-being, including happiness indicators together with moretraditional indicators such as GDP per capita. The media have been very receptive of the newly developed happiness indicators and published numerous colorful maps that illustrate national levels of happiness across the world. Unfortunately, these rankings and maps have been repeatedly misinterpreted in public policy debates, treating differences between countries as if they were estimated without uncertainty. Ignoring the uncertainty underlying happiness rankings inevitably leads us to exaggerate differences between countries. That is, countries ranked in different positions in a happiness ranking may be treated as if they were statistically different from each other when they are not. Therefore, we argue that happiness rankings – whether presented in maps, figures, or tables – should always account for uncertainty by including confidence intervals and a reference point to assess statistical differences across countries. Using the World Values Survey cross-national data on life satisfaction for 91 countries, we illustrate how to build a happiness ranking that correctly account for uncertainty. We take Chile as a reference point to make comparisons, and repaint the world map of happiness by classifying countries as statistically happier, unhappier or not different from Chile. The results suggest that when looking for lessons to become a happier society, Chile should mainly look to its Latin American neighbors, rather than to many higher income countries around the world that rank above Chile in the happiness ranking. Overall, these results suggest a serious risk of neglecting uncertainty when using happiness ranking to inform public policy debates.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.