In Happiness for All?, Carol Graham raises disquieting ideas about today's United States. The challenge she puts forward is an important one. Here we review the intellectual case and offer additional evidence. We conclude broadly on the author's side. Strikingly, Americans appear to be in...

We show that, without strong auxiliary assumptions, it is impossible to rank groups by average happiness using survey data with a few potential responses. The categories represent intervals along some continuous distribution. The implied CDFs of these distributions will (almost) always cross...

Starting from the assumption that improving well-being is the central consideration for public policies, we show how subjective well-being research can help, and already is helping, to choose public policies based on their consequences for all aspects of life. The core of the paper lies in...

This chapter uses happiness data to assess the quality of government. Our happiness data are drawn from the Gallup World Poll, starting in 2005 and extending to 2017 or 2018. In our analysis of the panel of more than 150 countries and generally over 1,500 national-level observations, we show...

We replicate nine key results from the happiness literature: the Easterlin Paradox, the ‘U-shaped' relation between happiness and age, the happiness trade-off between inflation and unemployment, cross-country comparisons of happiness, the impact of the Moving to Opportunity program on...

A modern statistical literature argues that countries such as Denmark are particularly happy while nations like East Germany are not. Are such claims credible? The paper explores this by building on two ideas. The first is that psychological well-being and high blood-pressure are thought by...

We test for whether, once "basic needs" are satisfied, there is happiness adaptation to further gains in income using three data sets. Individual German Panel Data from 1985-2000, and data on the well-being of over 600,000 people in a panel of European countries from 1975-2002, shows different...