Publications
We consider the constrained multi-objective optimization problem of finding Pareto critical points of difference of convex functions. The new approach proposed by Bento et al. (SIAM J Optim 28:1104–1120, 2018) to study the convergence of the proximal point method is applied. Our method minimizes at each iteration a convex approximation instead of the (non-convex) objective function constrained to a possibly non-convex set which assures the vector improving process. The motivation comes from the famous Group Dynamic problem in Behavioral Sciences where, at each step, a group of (possible badly informed) agents tries to increase his joint payoff, in order to be able to increase the payoff of each of them. In this way, at each step, this ascent process guarantees the stability of the group. Some encouraging preliminary numerical results are reported.
This chapter presents an intuitive overview of the methods that researchers can use to estimate the monetary value of changes in health outcomes. These methods are separated into two categories: stated preference methods and revealed preference methods. Stated preference methods ask people how much they are willing to pay for health improvements directly using surveys of the relevant population. Revealed preference methods infer the trade-offs that people make between health and money indirectly by observing everyday behavior, such as when people accept a riskier job in return for higher wages; or when they buy products to protect their health from hazards. The chapter discusses the main advantages and disadvantages of each method.
The digital age allows data collection to be done on a large scale and at low cost. This is the case of genealogy trees, which flourish on numerous digital platforms thanks to the collaboration of a mass of individuals wishing to trace their origins and share them with other users. The family trees constituted in this way contain information on the links between individuals and their ancestors, which can be used in historical demography, and more particularly to study migration phenomena. The case of 19th century France is taken as an example, using data from the family trees of 238,009 users of the Geneanet website, or 2.5 million (unique) individuals. Using the geographical coordinates of the birthplaces of 25,485 ancestors born in France between 1800 and 1804 and those of their descendants (24,516 children, 29,715 grandchildren and 62,165 great-grandchildren), we study migration between generations at several geographical scales. We start with a broad scale, that of the departments, to reach a much finer one, that of the cities. Our results are consistent with those of the literature traditionally based on the parish or civil status registers. The results show that the use of collaborative genealogy data not only makes it possible to support previous findings of the literature, but also to enrich them.
We show that sleep deprivation exerts strong negative effects on mothers’ labour market performance. To isolate variations in maternal sleep, we exploit unique variations in child sleep disruption using a UK panel dataset that follows mother-child pairs through time. We find that sleeping one hour less per night on average significantly decreases maternal labour force participation, the number of hours worked and household income. We identify one mechanism driving the effects, namely the influence of maternal sleep on selection into full-time versus part-time work. Increased schedule flexibility for mothers with sufficient tenure mitigates the negative effects of sleep deprivation.
In this paper, we investigate the effects of trade in foods on obesity in Mexico. To do so, we match data on Mexican food imports from the U.S. with anthropometric and food expenditure data. Our findings suggest that exposure to food imports from the U.S. can explain up to 20% of the rise in obesity prevalence among Mexican women between 1988 and 2012. Pro-obesity effects are driven by areas more exposed to unhealthy food imports. We also find evidence in favour of a price mechanism. By linking trade flows to obesity, the paper sheds light on an important channel through which globalisation may affect health. (C) 2019 Elsevier B.V. All rights reserved.
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L'école "autrichienne" d'économie, objet de ce numéro de la revue Austriaca, constitue plus qu'une école d'économie politique nationale. Courant de pensée majeur dans les sciences sociales et en économie politique en particulier, comme dans les politiques économiques au long du siècle et demi écoulé depuis sa fondation, cette école est un cas d'étude exceptionnel pour l'épistémologie sociale, perspective dans laquelle situer globalement l'approche des contributions internationales éminentes ici rassemblées.
In September 2021, the World Health Organization decided to implement stronger air quality guidelines for protecting health, based on the last decade of research. Ambient air pollution (AAP) was already the first environmental risk to health in terms of number of premature deaths, and this decision suggests that the risk was seriously underestimated. This chapter covers the relationship between AAP and health from an economic perspective. The first part presents the major regulated air pollutants and their related health effects, the way population exposure is measured, and the individual vulnerability and susceptibility to AAP-related effects. Then, the main approaches that estimate the relationships between health effects and air pollutants are covered: pure observational and interventional/quasi-experimental studies. Up-to-date reviews of the most robust relationships, and of the main findings of interventional/causal inference methods, are detailed. Next, impact assessments studies are tackled and some recent global assessments of health impacts due to AAP are presented. Once calculated, the health impacts can be expressed in monetary terms to enter the decision-making process. The relevant approaches for valuing market and nonmarket health impacts – market prices, revealed and stated preferences – are critically outlined, and their adequation with the AAP context examined. Finally, the economic health-related impacts of AAP are presented and discussed, with specific sections devoted to the necessity of an interdisciplinary approach and inequity-related issues at national and international levels. This chapter concludes with a widening of the perspective that tackles interactions between AAP on the one hand and climate change and indoor pollution on the other hand.
Cette étude a pour objectif d’évaluer différents modes de financement de la couverture santé universelle au Sénégal. La méthode utilisée, la micro-simulation, permet d’examiner l’impact de différents scenarii sur les consommations des ménages ainsi que sur les dépenses publiques. Les résultats montrent que la généralisation d’une assurance-maladie à l’ensemble de la population, associée à une réduction des coûts directs des soins, augmenterait les consommations de soins des Sénégalais, améliorant donc leur accès aux services de santé. Néanmoins, une telle généralisation serait coûteuse pour les finances publiques. Pour limiter les coûts supportés par le gouvernement, l’augmentation du taux d’imposition sur la consommation et de la prime de contribution à l’assurance-maladie serait utile et permettrait de ramener les finances publiques à l’équilibre.
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