There is a large amount of cross-sectional evidence for a midlife low in the life cycle of human happiness and well-being (a 'U shape'). Yet no genuinely longitudinal inquiry has uncovered evidence for a U-shaped pattern. Thus some researchers believe the U is a statistical artefact. We...

We exploit lottery wins to investigate the effects of exogenous changes to individuals' income on health care demand in the United Kingdom. This strategy allows us to estimate lottery income elasticities for a range of health care services that are publicly and privately provided. The results...

There is a large amount of cross-sectional evidence for a midlife low in the life cycle of human happiness and well-being (a "U shape"). Yet no genuinely longitudinal inquiry has uncovered evidence for a U-shaped pattern. Thus some researchers believe the U is a statistical artefact. We...

We exploit lottery wins to investigate the effects of exogenous changes to individuals' income on health care demand in the United Kingdom. This strategy allows us to estimate lottery income elasticities for a range of health care services that are publicly and privately provided. The results...

There is a large amount of cross-sectional evidence for a midlife low in the life cycle of human happiness and well-being (a 'U shape'). Yet no genuinely longitudinal inquiry has uncovered evidence for a U-shaped pattern. Thus some researchers believe the U is a statistical artefact. We...

We exploit lottery wins to investigate the effects of exogenous changes to individuals' income on health care demand in the United Kingdom. This strategy allows us to estimate lottery income elasticities for a range of health care services that are publicly and privately provided. The results...

There is a large amount of cross-sectional evidence for a midlife low in the life cycle of human happiness and well-being (a 'U shape'). Yet no genuinely longitudinal inquiry has uncovered evidence for a U-shaped pattern. Thus some researchers believe the U is a statistical artefact. We...