scispace - formally typeset
Search or ask a question
Posted Content

The measurement of economic performance and social progress revisited

01 Dec 2009-Research Papers in Economics (Observatoire Francais des Conjonctures Economiques (OFCE))-
Abstract: In February 2008, the President of the French Republic, Nicholas Sarkozy, unsatisfied with the present state of statistical information about the economy and the society, asked, Joseph Stiglitz (President of the Commission), Amartya Sen (Advisor) and Jean Paul Fitoussi (Coordinator) to create a Commission, subsequently called "The Commission on the Measurement of Economic Performance and Social Progress" (CMEPSP). The Commission's aim has been to identify the limits of GDP as an indicator of economic performance and social progress, including the problems with its measurement, to consider what additional information might be required for the production of more relevant indicators of social progress, to assess the feasibility of alternative measurement tools, and to discuss how to present the statistical information in an appropriate way (...).

Content maybe subject to copyright    Report

Citations
More filters
Posted Content
TL;DR: The report, published by the Earth Institute and co-edited by the institute's director, Jeffrey Sachs, reflects a new worldwide demand for more attention to happiness and absence of misery as criteria for government policy.
Abstract: The report, published by the Earth Institute and co-edited by the institute’s director, Jeffrey Sachs, reflects a new worldwide demand for more attention to happiness and absence of misery as criteria for government policy. It reviews the state of happiness in the world today and shows how the new science of happiness explains personal and national variations in happiness.

911 citations

Journal ArticleDOI
29 Jan 2010-Science
TL;DR: The subjective responses from 1 million adults, collected within health surveys conducted by the U.S. Centers for Disease Control and Prevention, do indeed correlate with objective measures of quality of life and there is a state-by-state match (r = 0.6, P < 0.001) between subjective and objective well-being.
Abstract: A huge research literature, across the behavioral and social sciences, uses information on individuals' subjective well-being. These are responses to questions--asked by survey interviewers or medical personnel--such as, "How happy do you feel on a scale from 1 to 4?" Yet there is little scientific evidence that such data are meaningful. This study examines a 2005-2008 Behavioral Risk Factor Surveillance System random sample of 1.3 million U.S. citizens. Life satisfaction in each U.S. state is measured. Across America, people's answers trace out the same pattern of quality of life as previously estimated, from solely nonsubjective data, in one branch of economics (so-called "compensating differentials" neoclassical theory, originally from Adam Smith). There is a state-by-state match (r = 0.6, P < 0.001) between subjective and objective well-being. This result has some potential to help to unify disciplines.

597 citations

Journal ArticleDOI
TL;DR: In this article, the authors put composite indicators under the spotlight, examining the wide variety of methodological approaches in existence and offered a more recent outlook on the advances made in this field over the past years.
Abstract: In recent times, composite indicators have gained astounding popularity in a wide variety of research areas. Their adoption by global institutions has further captured the attention of the media and policymakers around the globe, and their number of applications has surged ever since. This increase in their popularity has solicited a plethora of methodological contributions in response to the substantial criticism surrounding their underlying framework. In this paper, we put composite indicators under the spotlight, examining the wide variety of methodological approaches in existence. In this way, we offer a more recent outlook on the advances made in this field over the past years. Despite the large sequence of steps required in the construction of composite indicators, we focus particularly on two of them, namely weighting and aggregation. We find that these are where the paramount criticism appears and where a promising future lies. Finally, we review the last step of the robustness analysis that follows their construction, to which less attention has been paid despite its importance. Overall, this study aims to provide both academics and practitioners in the field of composite indices with a synopsis of the choices available alongside their recent advances.

468 citations

Journal ArticleDOI
TL;DR: In this article, a factor analysis based on the I = P*A*T formula demonstrates how optimistic the assumptions regarding future technologies must be to support the green growth concept, and the authors pledge for a pragmatic, risk avoiding approach by slimming the physical size of the economy.

450 citations

Journal ArticleDOI
TL;DR: This article showed that economic complexity is a significant and negative predictor of income inequality and that this relationship is robust to controlling for aggregate measures of income, institutions, export concentration, and human capital.

410 citations