Housing and quality of life for migrant communities in western Europe: a capabilities approach

Housing is an important determinant of quality of life and migrants are more likely to encounter poor quality housing than natives. This paper draws on the capabilities approach to welfare economics to examine how issues of housing and neighborhood conditions influence quality of life and opportunities for migrants in Western Europe. The analysis utilizes data from the second European Quality of Life Survey (EQLS) to explore variation in life and housing satisfaction between migrants and non-migrants (natives) in Western Europe and whether being a migrant and living in an ethnically diverse neighborhood contribute to lower satisfaction. The results show that migrants are more likely to experience lower levels of life and housing satisfaction and that living in a diverse neighborhood is negatively associated with life and housing satisfaction. While diverse, inner-city neighborhoods can increase opportunities for labor market access, social services and integration, the tendency towards clustered settlement by migrants can also compound housing inequality. Conversely, migrant homeowners are on average substantially more satisfied with the quality of public services and of their neighborhood and have lower material deprivation than both migrant and non-migrant renters. The findings draw attention to the need to address housing and neighborhood conditions in order to improve opportunities for integration and well-being

Happiness, well-being and human development: the case for subjective measures

In recent years, economists have made increasing use of psychological measures of well-being. This paper argues that these data and models can make important contributions to human development. The paper begins by offering an overview of some key concepts, definitions and properties of subjective well-being measures, highlighting, particularly, overall assessments of life satisfaction, satisfactions with particular domains, eudaimonic measures and measures of human potential. It then moves on to consider some of the key empirical research findings concerning general psychological mechanisms underpinning subjective well-being, and drivers of domain satisfactions and well-being in youth and older age. The paper concludes with examples of subjective well-being applied to a range of human development issues and an assessment of ways in which such analyses can complement the Human Development Index as it has evolved over the past quarter decade

A 3D Reconstruction Algorithm for the Location of Foundations in Demolished Buildings

The location of foundations in a demolished building can be accomplished by undertaking a Ground Penetrating Radar (GPR) survey and then to use the GPR data to generate 3D isosurfaces of what was beneath the soil surface using image reconstruction. The SIMCA ('SIMulated Correlation Algorithm') algorithm is a technique based on a comparison between the trace that would be returned by an ideal point reflector in the soil conditions at the site and the actual trace. During an initialization phase, SIMCA carries out radar simulation using the design parameters of the radar and the soil properties. The trace which would be returned by a target under these conditions is then used to form a kernel. Then SIMCA takes the raw data as the radar is scanned over the ground and removes clutter using a clutter removal technique. The system correlates the kernel with the data by carrying out volume correlation and produces 3D images of the surface of subterranean objects detected. The 3D isosurfaces are generated using MATLAB software. The validation of the algorithm has been accomplished by comparing the 3D isosurfaces produced by the SIMCA algorithm, Scheers algorithm and REFLEXW commercial software. Then the depth and the position in the x and y directions as obtained using MATLAB software for each of the cases are compared with the corresponding values approximately obtained from original Architect's drawings of the buildings

How can governments think beyond GDP?

Economists are increasingly looking beyond Gross Domestic Product (GDP) as a measure of a society’s health. Paul Anand (Open University) discusses some of the ways in which the pandemic will affect inequality and wellbeing, and how adopting more radical measurements of economic health can help us recover

Post-lockdown labour markets: time to reflect on the type of economic progress that we want

Paul Anand discusses some of the challenges facing labour markets in the light of COVID-19. He concludes that getting things right requires an ability on the part of the government to think more broadly and creatively about all the human outcomes involved

Identifying Catch-Up Trajectories in Child Growth: New Methods with Evidence from Young Lives

Definitions of catch-up growth in anthropometric outcomes among young children vary across studies. This paper distinguishes between catch-up in the mean of a group toward that of a healthy reference population versus catch-up within the group, associated with a narrowing of the outcome distribution. In contrast to conventional empirical approaches based on dynamic panel models, the paper shows how catch-up can be tested via a latent growth framework. Combined with a flexible estimator incorporating individual-specific intercepts and slopes, this enables between- and within-group forms of catch-up to be tested in a unified setting. The application of the proposed approach reveals significant differences in the nature, extent, and drivers of catch-up growth across the four Young Lives countries (Ethiopia, India, Peru, and Vietnam). In addition, the paper shows how conclusions about catch-up are sensitive to the way in which anthropometric outcomes are expressed

An efficient high-order Nystr\"om scheme for acoustic scattering by inhomogeneous penetrable media with discontinuous material interface

This text proposes a fast, rapidly convergent Nystr\"{o}m method for the solution of the Lippmann-Schwinger integral equation that mathematically models the scattering of time-harmonic acoustic waves by inhomogeneous obstacles, while allowing the material properties to jump across the interface. The method works with overlapping coordinate charts as a description of the given scatterer. In particular, it employs "partitions of unity" to simplify the implementation of high-order quadratures along with suitable changes of parametric variables to analytically resolve the singularities present in the integral operator to achieve desired accuracies in approximations. To deal with the discontinuous material interface in a high-order manner, a specialized quadrature is used in the boundary region. The approach further utilizes an FFT based strategy that uses equivalent source approximations to accelerate the evaluation of large number of interactions that arise in the approximation of the volumetric integral operator and thus achieves a reduced computational complexity of $O(N \log N)$ for an $N$-point discretization. A detailed discussion on the solution methodology along with a variety of numerical experiments to exemplify its performance in terms of both speed and accuracy are presented in this paper