Happiness and capability: Introduction to the symposium

The aim of this symposium is to move beyond the established, narrow measures of well-being. It does so by bringing together insights from the happiness approach and the capability approach, both of which are at the forefront of theorizing on welfare in economics. The reason is that the connection happiness–capability is extremely stimulating and potentially able of opening up a very promising field of research. For this purpose, the symposium consists of overview papers by leading scholars and practitioners and of papers dealing with key conceptual and empirical issues on the frontier of combined happiness and capability research.     

Recent History Functional Linear Models for Sparse Longitudinal Data

We consider the recent history functional linear models, relating a longitudinal response to a longitudinal predictor where the predictor process only in a sliding window into the recent past has an effect on the response value at the current time. We propose an estimation procedure for recent history functional linear models that is geared towards sparse longitudinal data, where the observation times across subjects are irregular and total number of measurements per subject is small. The proposed estimation procedure builds upon recent developments in literature for estimation of functional linear models with sparse data and utilizes connections between the recent history functional linear models and varying coefficient models. We establish uniform consistency of the proposed estimators, propose prediction of the response trajectories and derive their asymptotic distribution leading to asymptotic point-wise confidence bands. We include a real data application and simulation studies to demonstrate the efficacy of the proposed methodology.