Objective Confirmation of Subjective Measures of Human Well-Being: Evidence from the U.S.A.

The Best Things in Life Are Free? Does money buy happiness? Answers to this question differ, depending, in part, on whether one asks an economist or a psychologist. The former would point to correlations between higher incomes and greater self-reported well-being, whereas the latter would argue that happiness shows little correlation with absolute material goods and is instead dictated largely by an individual's so-called set-point. Another strand of research invokes a hedonic treadmill, whereby income matters until subsistence requirements are met, at which point comparisons with one's neighbors are what influence one's sense of life satisfaction. Oswald and Wu (p. 576, published online 17 December; see the Perspective by Layard) establish that 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. Subjective life-satisfaction scores agree with objective measures of well-being across 50 American states. 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.