Does Where I Live Affect Whether I Apply? The Contextual Determinants of Applying for Deferred Action for Childhood Arrivals

The Deferred Action for Childhood Arrivals (DACA) program provides temporary relief from deportation and legal work authorization for eligible undocumented youth in the United States. This study investigates the factors that help or hinder undocumented youth in applying for DACA. We focus on contexts of reception to understand the determinants of DACA applications, as studies of previous legalization programs indicate that the communities in which immigrants live help shape application decisions. Our analysis shows that more immigrant‐serving organizations in a state translate into more applications, that DACA implementation rates are not statistically significantly lower in states with hostile policy climates, and that socioeconomic factors are most significantly related to DACA applications. In identifying the collective factors that influence applying to DACA, we demonstrate that the structural opportunities and barriers present in receiving locales shape undocumented youths’ decisions to regularize their immigration status, which has significant implications for their resulting incorporation trajectories.     

Sexology in Portugal: Narratives by Portuguese Sexologists

This article presents the emergence and development of modern sexology in Portugal through the analysis of Portuguese sexologists’ narratives, to explore how they commit to a professional identity as sexologists, and to discuss how they integrate their professional role into the vast multidisciplinary field of sexology. In-depth interviews were conducted with 44 key professionals, purposefully recruited to guarantee heterogeneity concerning generation, gender, training, and practice. Content analysis focused on highlighting differences and articulations among the main professionals making up the field. The findings indicate that sexology is not seen as a full-fledged profession but rather as a specialization or a secondary field of action. The sexual medicine perspective is prevalent and more visible among physicians, thus reflecting the gap between psychosocial and biomedical approaches. A close link between clinical work and research and a gap between clinical work and health promotion were found. Despite the multidisciplinary nature of sexology being acknowledged, it is not fully implemented by the experts in the field. However, it is this characteristic that permitted sexology to institutionalize and to legitimate itself as a discourse of truth about sex, in Portugal as in other countries.     

On the contribution of sectoral natural population growth to the aggregate poverty change

This note extends the Ravallion and Huppi (World Bank Econ Rev 5(1):57–82, 1991) aggregate poverty change decomposition to account for the distinct contribution of migration and differential natural population growth between sectors to the aggregate poverty change. We apply our decomposition to three Least Developing countries. We find that accounting for sectoral difference in natural population growth has a considerable impact on national poverty change. Responsible editor: Alessandro Cigno     

Household demographic change and land use/land cover change in the Brazilian Amazon

Demographic interest in population and environment has grown in recent decades. One of the most prominent research areas in this tradition addresses the impact of population on land use and land cover change. Building on this tradition, we examine the effects of household demographic composition on land use and land cover on small farms in two study areas in the Brazilian Amazon. Fixed effects regression models of used area and forested area show few consistent effects of changes in household demography on land use and land cover change. Effects are inconsistent with the household life cycle model that currently dominates the literature on household demographic effects in frontiers. Changes in the number of children and women, particularly young women, have the most significant effects on land use and land cover change. We conclude by arguing that households strategically access cash for investment in agriculture and that specific strategies are determined by economic and institutional context.

The Catalan premium: language and employment in Catalonia

In this paper, I measure the contribution of knowing Catalan to finding a job in Catalonia. In the early 1980s, a drastic language policy change (normalització) promoted the learning and use of Catalan in Catalonia and managed to reverse the falling trend of its relative use vs Castilian (Spanish). Using census data for 1991 and 1996, I estimate a significant positive Catalan premium: the probability of being employed increases between 3 and 5 percentage points if individuals know how to read and speak Catalan; it increases between 2 and 6 percentage points for writing Catalan.

Power and identity: the exhibition of human beings in the Portuguese great exhibitions

This article reflects on the inclusion of human beings in the colonial representations of the great exhibitions that Portugal organised or took part in during the first half of the twentieth century. It analyses the role played by the natives (from the Portuguese colonies), as well as the way they were represented and treated, based on various documents and interviews and on the study of the exhibition creation process. These exhibitions revealed some underlying tensions. On the one hand, they provided evidence of the differences between the ‘civilised’ and the ‘uncivilised’, of the diversity of ‘races’ and of their places in a hierarchy of civilisation. On the other, they extolled the way colonised peoples adopted Portuguese models. The ways those human beings have asserted their existence, under the power of the exhibition’s organisers, provides a means to understand how they forged and assumed their identities in a context of rules.     

Reliable error estimation for Sobol’ indices

In the field of sensitivity analysis, Sobol’ indices are sensitivity measures widely used to assess the importance of inputs of a model to its output. The estimation of these indices is often performed through Monte Carlo or quasi-Monte Carlo methods. A notable method is the replication procedure that estimates first-order indices at a reduced cost in terms of number of model evaluations. An inherent practical problem of this estimation is how to quantify the number of model evaluations needed to ensure that estimates satisfy a desired error tolerance. This article addresses this challenge by proposing a reliable error bound for first-order and total effect Sobol’ indices. Starting from the integral formula of the indices, the error bound is defined in terms of the discrete Walsh coefficients of the different integrands. We propose a sequential estimation procedure of Sobol’ indices using the error bound as a stopping criterion. The sequential procedure combines Sobol’ sequences with either Saltelli’s strategy to estimate both first-order and total effect indices, or the replication procedure to estimate only first-order indices.     

Comments on “The power of monitoring: how to make the most of a contaminated multivariate sample”

These are comments on the invited paper “The power of monitoring: How to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony Atkinson and Aldo Corbellini.     

Functional regression concurrent model with spatially correlated errors: application to rainfall ground validation

In this paper, we give an extension of the functional regression concurrent model to the case of spatially correlated errors. We propose estimating the spatial correlation structure by using functional geostatistics. The estimation of the regression parameters is carried out by feasible generalized least squares. This modeling approach is motivated by the problem of validating rainfall data retrieved from satellite sensors. In this sense, we use the methodology to study the relationship between satellite and ground rainfall time series recorded in 82 weather stations from Department of Valle del Cauca, Colombia. The model obtained allows predicting pentadal rainfall curves in many sites of the region of interest by using as input the satellite information. A residual analysis shows a good performance of the methodology proposed.