This paper aims to seek to provide a more comprehensive view of the determinants of experienced well-being by incorporating personal characteristics suggested to be significant predictors of global well-being, such as income, materialism, religiosity, community mindedness and sleep quality (Diener et al., 1999; Frey and Stutzer, 2002), as well as time-use activities (Kahneman and Krueger, 2006) and contextual elements, such as day of the week (Csikszentmihalyi and Hunter, 2003; Kahneman et al., 2004a) and the presence of companions, into a single model of predictive experienced well-being using the day reconstruction method (Kahneman et al., 2004a).
The authors applied the day reconstruction method to a sample of 1,823 episodes from 104 undergraduate students at a private university in Mexico to determine time assignment and emotional experience. Data were analyzed using a panel data regression model.
It is currently accepted that experienced well-being depends on how people assign their time; however, the results suggest marginal and interaction effects between time assignment and sharing activities with others. Individuals experience an increase in well-being when any activity is done with others, independent of the valence or the duration of the activity. Also, while money does not produce higher well-being, the share of the budget that is spent with others does cause people to experience more well-being. Finally, the results indicate that personal characteristics are equally important to experienced well-being.
The sample was restricted to students; thus, to achieve external validity, it is necessary to replicate this analysis within different populations as well as groups of different ages and occupations.
The authors provided an integrative model of experienced well-being that combines personal characteristics, time assignment and contextual factors. In addition, this model provides a more accurate gauge of the impact of personal characteristics on well-being than previous studies by controlling for time assignment and by measuring the impact on experienced, rather than global, well-being.
