What to Do at Low Doses: A Bounding Approach for Economic Analysis

To quantify the health benefits of environmental policies, economists generally require estimates of the reduced probability of illness or death. For policies that reduce exposure to carcinogenic substances, these estimates traditionally have been obtained through the linear extrapolation of experimental dose-response data to low-exposure scenarios as described in the U.S. Environmental Protection Agency's Guidelines for Carcinogen Risk Assessment (1986). In response to evolving scientific knowledge, EPA proposed revisions to the guidelines in 1996. Under the proposed revisions, dose-response relationships would not be estimated for carcinogens thought to exhibit nonlinear modes of action. Such a change in cancer-risk assessment methods and outputs will likely have serious consequences for how benefit-cost analyses of policies aimed at reducing cancer risks are conducted. Any tendency for reduced quantification of effects in environmental risk assessments, such as those contemplated in the revisions to EPA's cancer-risk assessment guidelines, impedes the ability of economic analysts to respond to increasing calls for benefit-cost analysis. This article examines the implications for benefit-cost analysis of carcinogenic exposures of the proposed changes to the 1986 Guidelines and proposes an approach for bounding dose-response relationships when no biologically based models are available. In spite of the more limited quantitative information provided in a carcinogen risk assessment under the proposed revisions to the guidelines, we argue that reasonable bounds on dose-response relationships can be estimated for low-level exposures to nonlinear carcinogens. This approach yields estimates of reduced illness for use in a benefit-cost analysis while incorporating evidence of nonlinearities in the dose-response relationship. As an illustration, the bounding approach is applied to the case of chloroform exposure.     

Valuation of childhood risk reduction: the importance of age, risk preferences, and perspective.

This article explores two problems analysts face in determining how to estimate values for children's health and safety risk reductions. The first addresses the question: Do willingness‐to‐pay estimates for health risk changes differ across children and adults and, if so, how? To answer this question, the article first examines the potential effects of age and risk preferences on willingness to pay. A summary of the literature reporting empirical evidence of differences between willingness to pay for adult health and safety risk reductions and willingness to pay for health and safety risk reductions in children is also provided. The second dimension of the problem is a more fundamental issue: Whose perspective is relevant when valuing children's health effects—society's, children's, adults‐as‐children, or parents'? Each perspective is considered, followed ultimately by the conclusion that adopting a parental perspective through an intrahousehold allocation model seems closest to meeting the needs of the estimation problem at hand. A policy example in which the choice of perspective affects the outcome of a regulatory benefit‐cost analysis rounds out the article and emphasizes the importance of perspective.     

On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection

Wavelet thresholding of spectra has to be handled with care when the spectra are the predictors of a regression problem. Indeed, a blind thresholding of the signal followed by a regression method often leads to deteriorated predictions. The scope of this article is to show that sparse regression methods, applied in the wavelet domain, perform an automatic thresholding: the most relevant wavelet coefficients are selected to optimize the prediction of a given target of interest. This approach can be seen as a joint thresholding designed for a predictive purpose. The method is illustrated on a real world problem where metabolomic data are linked to poison ingestion. This example proves the usefulness of wavelet expansion and the good behavior of sparse and regularized methods. A comparison study is performed between the two-steps approach (wavelet thresholding and regression) and the one-step approach (selection of wavelet coefficients with a sparse regression). The comparison includes two types of wavelet bases, various thresholding methods, and various regression methods and is evaluated by calculating prediction performances. Information about the location of the most important features on the spectra was also obtained and used to identify the most relevant metabolites involved in the mice poisoning.     

Bilateral Donors' Efforts to Assess and Manage UN Agencies' Effectiveness: Seeking a Balance between Paris Principles and Domestic Accountability

Since the turn of the century, results orientation and performance measurement have become buzzwords in development aid. Bilateral donors are increasingly concerned about the effectiveness of core‐funded UN specialised agencies, funds and programmes, through which they channel a substantial part of their funds. While the logic for increased monitoring is clear, it is less evident how to assess this information for purposes of accountability, performance‐based funding and governance. This article describes the general evolution in this area and discusses two major initiatives to harmonise and align bilateral assessments, using case‐study material from three bilateral donors (Belgium, the Netherlands and the UK) with clearly diverging performance‐management cultures, and exploring the extent to which they rely upon joint and aligned initiatives.     

Preventive Care's Forgotten Women: Life Course,Sexuality, and Sexual Health among Homosexually and Bisexually Active Women in France

Although studies show that women who have sex with women (WSW) have poorer sexual health and more limited access to health care for gynecological problems than other women, the social processes giving rise to such health differences have not, so far, been explored. These processes may be formed in response to a dominant social norm, which assigns women to a heterosexual and monogamous sexuality. Based on data from a national random survey of sexuality (N = 6,824), enriched by qualitative interviews with WSW (n = 40), this analysis shows that bisexually active women had similar socio-demographic profiles to heterosexually active women, whereas homosexually active women appeared to be more highly educated than other women and less likely to live as couples than bisexually active women. Bisexually active women had more diversified sexual trajectories and sexual networks than other women. Chlamydia prevalence was found to be higher among bisexually active women, and homosexually active women reported fewer medical consultations for gynecological reasons. These analyses highlight the need to deconstruct the binary classification of homosexual versus heterosexual women. Because of constraint by the monogamous heterosexual norm, bisexually active women were less likely to be tested for sexually transmitted infections, and homosexually active women were less likely to have had gynecological follow-ups.     

The Problem with Self-Forgiveness: Forgiving the Self Deters Readiness to Change Among Gamblers

Self-forgiveness is generally understood to be a mechanism that restores and improves the self. In the current study, we examine the possible deleterious consequences of forgiving the self among gamblers-specifically in regard to gamblers' readiness to change their problematic behavior. At a large Canadian university, 110 young adult gamblers' level of gambling pathology was assessed, along with their readiness to change and self-forgiveness for their gambling. Participants were 33 females and 75 males (2 unspecified) with a mean age of 20.33. Results revealed that level of pathology (at risk vs. problem gamblers) significantly predicted increased readiness to change. Self-forgiveness mediated this relationship, such that level of gambling pathology increased readiness to change to the extent that participants were relatively unforgiving of their gambling. Implications for seeking professional assistance as well as treatment and recovery are discussed.     

Écrire l'événement : le travail agricole mis en mémoire

Pieces of writing about work can be taken to be a cognitive resource for action, especially when the way to act cannot be fully stated beforehand. To prove this, a pragmatic interpretation is proposed of the interactions between writing and cognition in agriculture, a sector where keeping an agenda is a widespread but seldom studied practice. After describing the diversity of the information (mainly technical or economic) that farmers noted from day to day, the functions of remembering on-the-job events are described in relation to farming activities: how this memory serves to follow up on activities, to think about what should be done and when. This detailed study of how agendas are actually used sheds light on the means available to farmers for managing their activities. Sometimes, writing serves to codify operations; sometimes, to make plans and assessments; and sometimes, to routinize an activity. In general, it helps stabilize the farmer’s work environment, splintered as it is among various places and schedules.     

Production mondialisée et progrès social: le cas du textile et de l'habillement

La fragmentation de la production au sein de réseaux mondiaux n'obéit pas seulement à l'avantage comparatif, mais aussi aux décisions de localisation des entreprises dominantes en fonction de la capacité de négociation des producteurs locaux et du rôle qu'elles leur assignent dans la chaîne de production. Les auteurs examinent les conséquences de cette spécialisation dans le textile et l'habillement, pour vingt‐six pays où l'offre de main‐d'?uvre est abondante, sur la période 1990–2007. L'étude économétrique montre que le secteur ne tire pas toujours bénéfice de l'intégration commerciale: on observe plutôt une association négative entre spécialisation verticale et salaires réels.     

Basic notions for the analysis of large two-mode networks

Many large real-world networks actually have a two-mode nature: their nodes may be separated into two classes, the links being between nodes of different classes only. Despite this, and despite the fact that many ad hoc tools have been designed for the study of special cases, very few exist to analyse (describe, extract relevant information) such networks in a systematic way. We propose here an extension of the most basic notions used nowadays to analyse large one-mode networks (the classical case) to the two-mode case. To achieve this, we introduce a set of simple statistics, which we discuss by comparing their values on a representative set of real-world networks and on their random versions. This makes it possible to evaluate their relevance in capturing properties of interest in two-mode networks.