Health and Well-Being in Everyday Life
The majority of well-being measures rely on self-reporting, which are based on retrospective assessments of life satisfaction and average levels of happiness. Measurements such as these can be more prone to reflect cognitive biases and therefore lead to inaccuracies in the measurement of well-being. In order to avoid bias and better measure levels of well-being in individual’s daily lives, we have incorporated the Day Reconstruction Method (DRM) into our research.
One of the research projects in which we applied the DRM studied the welfare effects of a targeted early intervention program on maternal well-being. A main finding of this study was that mothers who took part in the intervention program showed higher levels of reported happiness on a daily basis, as measured by the DRM. The retrospective measure for well-being, also included in the study, did not capture this significant impact on daily happiness, suggesting that the DRM is a more accurate measure of well-being. Studies such as this can help policymakers to properly quantify the impact of their policy interventions on well-being, therefore providing them with a more accurate cost-benefit analysis.