Disentangling the Circularity in Sen’s Capability Approach: An Analysis of the Co-Evolution of Functioning Achievement and Resources

There is an ambiguity in Amartya Sen’s capability approach as to what constitutes an individual’s resources, conversion factors and valuable functionings. What we here call the “circularity problem” points to the fact that all three concepts seem to be mutually endogenous and interdependent. To econometrically account for this entanglement we suggest a panel vector autoregression approach. We analyze the intertemporal interplay of the above factors over a time horizon of 15 years using the BHPS data set for Great Britain, measuring individual well-being in functionings space with a set of basic functionings, comprising “being happy”, “being healthy”, “being nourished”, “moving about freely”, “being well-sheltered” and “having satisfying social relations”. We find that there are indeed functionings that are resources for many other functionings (viz. “being happy”) while other functionings (“being well-sheltered” and “having satisfying social relations”) are by and large independent, thus shedding light on a facet of the capability approach that has been neglected so far.     

Validation of the WeDQoL-Goals-Thailand Measure: Culture-Specific Individualised Quality of Life

The aim of this study was to validate an individualised measure of quality of life (WeDQoL-Goals-Thailand). Three hundred and sixty-nine Thai people completed the WeDQoL by interview. Respondents rated (0–2) the perceived necessity for wellbeing of 51 goals (goal necessity), then rated (0–3) their satisfaction with the same goals (goal satisfaction). Weighted goal attainment (possible range 0–6) was computed (necessity x satisfaction). Psychometric validation used frequency distributions, Principal Components Analysis (PCA), and Cronbach’s alpha. Analysis of variance, t-tests, Kruskal–Wallis, Mann–Whitney U, Spearman’s correlation and multiple regression explored socio-demographic, geographic and economic differences. Respondents were aged 15–89 (mean 45.7, SD 18.0); 169 men, 200 women. For weighted goal attainment scores, PCA found a 44-item scale (α = 0.91) and three subscales (community/social/health, α = 0.90; house and home, α = 0.80; nuclear family, α = 0.81). Thai Individualised Goal Attainment (TIGA) scale and the three subscales were computed as the mean of contributing weighted goal attainment scores, after excluding goals considered ‘not necessary’ to each individual. Unweighted and individualised scores differed significantly with socio-demographic, geographic and economic indicators. In multiple regression, both Thai Unweighted Goal Satisfaction (TUGS) and TIGA scale scores were predicted by being married, living in the South and in a non-urban location. TIGA scores were also predicted by being over 25 years old. WeDQoL-Goals-Thailand has excellent psychometric properties. Individualised scores reflect each person’s perspective on wellbeing and are sensitive to subgroup differences. However, unweighted satisfaction scores give a broadly similar picture and involve less complex computation.     

Birth Intervals and Health in Adulthood: A Comparison of Siblings Using Swedish Register Data

A growing body of research has examined whether birth intervals influence perinatal outcomes and child health as well as long-term educational and socioeconomic outcomes. To date, however, very little research has examined whether birth spacing influences long-term health. We use contemporary Swedish population register data to examine the relationship between birth-to-birth intervals and a variety of health outcomes in adulthood: for men, height, physical fitness, and the probability of falling into different body mass index categories; and for men and women, mortality. In models that do not adjust carefully for family background, we find that short and long birth intervals are clearly associated with height, physical fitness, being overweight or obese, and mortality. However, after carefully adjusting for family background using a within-family sibling comparison design, we find that birth spacing is generally not associated with long-term health, although we find that men born after very long birth intervals have a higher probability of being overweight or obese in early adulthood. Overall, we conclude that birth intervals have little independent effect on long-term health outcomes.     

Innovativeness and Subjective Well-Being

What are the effects of innovativeness on well-being? This paper argues that research on subjective well-being has progressed to a point where measures of subjective well-being (or: happiness) can usefully be employed to assess the welfare effects of innovative change. Based on a discussion of the prospects and pitfalls associated with subjective well-being as welfare measure and benchmark of societal progress, an argument is put forward as to why these measures are particularly well-suited in the context of innovative change. Empirically well-founded and with an explicit dynamic foundation, theories of subjective well-being allow for a nuanced and comprehensive assessment of the effects that innovativeness has on a society. Two evaluation rules, the “life domain evaluation principle” and the “welfare dynamics principle” are suggested to guide such normative assessment.     

Television and Postfeminist Housekeeping: No Time for Mother

This feminist, qualitative study sheds light on how young Arab women used cyberactivism to participate in the wave of political and social transformations widely known as the Arab Spring. It argues that these activists leveraged social media to enact new forms of leadership, agency, and empowerment, since these online platforms enabled them to express themselves freely and their voices to be heard by the rest of the world, particularly the global media. This resulted in a multidimensional personal, social, political, and communicative revolution. This study is based on in-depth, personal interviews with more than twenty young Arab women citizen journalists, bloggers, and activists from Arab countries that witnessed political upheaval.     

Treatment Evaluation in the Presence of Sample Selection

Sample selection and attrition are inherent in a range of treatment evaluation problems such as the estimation of the returns to schooling or training. Conventional estimators tackling selection bias typically rely on restrictive functional form assumptions that are unlikely to hold in reality. This paper shows identification of average and quantile treatment effects in the presence of the double selection problem into (i) a selective subpopulation (e.g., working—selection on unobservables) and (ii) a binary treatment (e.g., training—selection on observables) based on weighting observations by the inverse of a nested propensity score that characterizes either selection probability. Weighting estimators based on parametric propensity score models are applied to female labor market data to estimate the returns to education.     

Simplified Estimating Functions for Diffusion Models with a High-dimensional Parameter

We consider estimating functions for discretely observed diffusion processes of the following type: for one part of the parameter of interest we propose to use a simple and explicit estimating function of the type studied by Kessler (2000); for the remaining part of the parameter we use a martingale estimating function. Such an approach is particularly useful in practical applications when the parameter is high-dimensional. It is also often necessary to supplement a simple estimating function by another type of estimating function because only the part of the parameter on which the invariant measure depends can be estimated by a simple estimating function. Under regularity conditions the resulting estimators are consistent and asymptotically normal. Several examples are considered in order to demonstrate the idea of the estimating procedure. The method is applied to two data sets comprising wind velocities and stock prices. In one example we also propose a general method for constructing diffusion models with a prescribed marginal distribution which have a flexible dependence structure.