Experiential Wellbeing Data from the American Time Use Survey: Comparisons with Other Methods and Analytic Illustrations with Age and Income

There has been a recent upsurge of interest in self-reported measures of wellbeing by official statisticians and by researchers in the social sciences. This paper considers data from a wellbeing supplement to the American Time Use Survey (ATUS), which parsed the previous day into episodes. Respondents provided ratings of five experiential wellbeing adjectives (happiness, stress, tiredness, sadness, and pain) for each of three randomly selected episodes. Because the ATUS wellbeing module has not received very much attention, in this paper we provide the reader with details about the features of these data and our approach to analyzing the data (e.g., weighting considerations), and then illustrate the applicability of these data to current issues. Specifically, we examine the association of age and income with all of the experiential wellbeing adjective in the ATUS. Results from the ATUS wellbeing module were broadly consistent with earlier findings on age, but did not confirm all earlier findings between income and wellbeing. We conclude that the ATUS, with its measurement of time use, specific activities, and hedonic experience in a nationally representative survey, offers a unique opportunity to incorporate time use into the burgeoning field of wellbeing research.