How’s Life? charts whether life is getting better for people in 37 OECD countries and 4 partner countries. This fifth edition presents the latest evidence from an updated set of over 80 indicators, covering current well-being outcomes, inequalities, and resources for future well-being.

These Guidelines represent the first attempt to provide international recommendations on collecting, publishing, and analysing subjective well-being data.

How’s Life? charts the promises and pitfalls for people’s well-being in 35 OECD countries and 6 partner countries. It presents the latest evidence from 50 indicators, covering both current well-being outcomes and resources for future well-being, and including changes since 2005.

In the spring of 2010, Harvard Business School’s graduating class asked HBS professor Clay Christensen to address them—but not on how to apply his principles and thinking to their post-HBS careers. The students wanted to know how to apply his wisdom to their personal lives. He shared with them a set of guidelines that have helped him find meaning in his own life, which led to this now-classic article. Although Christensen’s thinking is rooted in his deep religious faith, these are strategies anyone can use. Since 1922, Harvard Business Review has been a leading source of breakthrough ideas in management practice. The Harvard Business Review Classics series now offers you the opportunity to make these seminal pieces a part of your permanent management library. Each highly readable volume contains a groundbreaking idea that continues to shape best practices and inspire countless managers around the world.

This is a study about perceptions of well-being. Its purpose is to investigate how these perceptions are organized in the minds of different groups of American adults, to find valid and efficient ways of measuring these percep tions, to suggest ways these measurement methods could be implemented to yield a series of social indicators, and to provide some initial readings on these indicators; i.e., some information about the levels of well-being perceived by Americans. The findings are based on data from more than five thousand Americans and include results from four separate representative samplings of the American population. One of the ways our research is unusual is that it includes a major methodological component. Typical surveys involve a modest effort at instru ment development, the application of the instrument to a group of respondents, and an analysis of the resulting data that mainly describes the people studied. Our work, however, was implemented in a series of sequential cycles, each of which consisted of conceptual development, instrument design, data collection, analysis, and interpretation. Ideas and findings generated in prior cycles affected the design of subsequent cycles.

Trust, both interpersonal trust, and trust in institutions, is a key ingredient of growth, societal well-being and governance. As a first step to improving existing measures of trust, the OECD Guidelines on Measuring Trust provide international recommendations on collecting, publishing, and analysing trust data to encourage their use by National Statistical Offices (NSOs). The Guidelines also outline why measures of trust are relevant for monitoring and policy making, and why NSOs have a critical role in enhancing the usefulness of existing trust measures. Besides looking at the statistical quality of trust measures, best approaches for measuring trust in a reliable and consistent way and guidance for reporting, interpretation and analysis are provided. A number of prototype survey modules that national and international agencies can use in their household surveys are included. These Guidelines have been produced as part of the OECD Better Life Initiative, a pioneering project launched in 2011, with the objective to measure society’s progress across eleven domains of well-being. They complement a series of similar measurement guidelines on subjective well-being, micro statistics on household wealth, integrated analysis of the distribution on household income, consumption and wealth, as well as the quality of the working environment.

Subjective well-being refers to how people experience and evaluate their lives and specific domains and activities in their lives. This information has already proven valuable to researchers, who have produced insights about the emotional states and experiences of people belonging to different groups, engaged in different activities, at different points in the life course, and involved in different family and community structures. Research has also revealed relationships between people's self-reported, subjectively assessed states and their behavior and decisions. Research on subjective well-being has been ongoing for decades, providing new information about the human condition. During the past decade, interest in the topic among policy makers, national statistical offices, academic researchers, the media, and the public has increased markedly because of its potential for shedding light on the economic, social, and health conditions of populations and for informing policy decisions across these domains. Subjective Well-Being: Measuring Happiness, Suffering, and Other Dimensions of Experience explores the use of this measure in population surveys. This report reviews the current state of research and evaluates methods for the measurement. In this report, a range of potential experienced well-being data applications are cited, from cost-benefit studies of health care delivery to commuting and transportation planning, environmental valuation, and outdoor recreation resource monitoring, and even to assessment of end-of-life treatment options. Subjective Well-Being finds that, whether used to assess the consequence of people's situations and policies that might affect them or to explore determinants of outcomes, contextual and covariate data are needed alongside the subjective well-being measures. This report offers guidance about adopting subjective well-being measures in official government surveys to inform social and economic policies and considers whether research has advanced to a point which warrants the federal government collecting data that allow aspects of the population's subjective well-being to be tracked and associated with changing conditions.

Health at a Glance compares key indicators for population health and health system performance across OECD members, candidate and partner countries. It highlights how countries differ in terms of the health status and health-seeking behaviour of their citizens; access to and quality of health care; and the resources available for health. Analysis is based on the latest comparable data across 80 indicators, with data coming from official national statistics, unless otherwise stated.

Today's leading economists weigh in with a new "dashboard" of metrics for measuring our economic and social health "What we measure affects what we do. If we focus only on material well-being—on, say, the production of goods, rather than on health, education, and the environment—we become distorted in the same way that these measures are distorted." —Joseph E. Stiglitz A consensus has emerged among key experts that our conventional economic measures are out of sync with how most people live their lives. GDP, they argue, is a poor and outmoded measure of our well-being. The global movement to move beyond GDP has attracted some of the world's leading economists, statisticians, and social thinkers who have worked collectively to articulate new approaches to measuring economic well-being and social progress. In the decade since the 2008 economic crisis, these experts have come together to determine what indicators can actually tell us about people's lives. In the first book of its kind, leading economists from around the world, including Thomas Piketty, Emmanuel Saez, Elizabeth Beasely, Jacob Hacker, François Bourguignon, Nora Lustig, Alan B. Krueger, and Joseph E. Stiglitz, describe a range of fascinating metrics—from economic insecurity and environmental sustainability to inequality of opportunity and levels of trust and resilience—that can be used to supplement the simplistic measure of gross domestic product, providing a far more nuanced and accurate account of societal health and well-being. This groundbreaking volume is sure to provide a major source of ideas and inspiration for one of the most important intellectual movements of our time.

The Sandvik, Diener, and Seidlitz (1993) paper is another that has received widespread attention because it documented the fact that self-report well-being scales correlate with a number of other methods of measuring the same concepts, such as with reports by knowledgeable “informants” (family and friends), expe- ence sampling measurement, and the memory for good versus bad life events. A single factor was found to underlie measures using different methods, and a n- ber of different well-being self-report measures were found to correlate with the non-self-report measures. Thus, although the self-report measures of well-being are imperfect, and can be in uenced by response artifacts, they have substantial validity as shown by their correlations with measurements based on alternative methods. Whereas the Pavot and Diener article reviewed the Satisfaction with Life Scale, the Lucas, Diener, and Larsen (2003) paper reviews various approaches to assessing positive emotions. As we wrote in the chapter in this volume in which we present new measures, we do not consider any of the existing measures of positive affect to be entirely acceptable for measuring subjective well-being in the affect area, and that is why we have created and validated a new measure.