Three essays on investment in human capital in Canada

Cette thèse examine l’investissement en capital humain au Canada en s’intéressant à la contribution de l’aide financière aux études, aux effets de la fiscalité, à la rentabilité de l’investissement en éducation postsécondaire et à la redistribution des revenus. Elle est subdivisée en cinq chapitres. Le premier chapitre présente une révue chronologique des études microéconomiques sur l’investissement en capital humain. Il présente également une synthèse des études canadiennes sur l’investissement en capital humain en insistant sur les limites portant essentiellement sur la non prise en compte de l’hétérogénéité des systèmes de prêts et bourses et des systèmes fiscaux à travers les provinces canadiennes et la faible analyse de la répartition des coûts et bénéfices de l’investissement en éducation au Canada. Le second chapitre présente la méthodologie de mesure des rendements de l’éducation et des gains issus des investissements en éducation. Il décrit les données utilisées et les résultats des régressions économetriques. Finalement, le chapitre présente SIMAID, un calculateur d’aide financière aux études élaboré pour les objectifs dans cette thèse et qui permet d’estimer le montant de l’aide financière devant être attribuée à chaque étudiant en fonction de ses caractéristiques personnelles et de celles de sa famille. Dans sa première section, le troisième chapitre présente les rendements sociaux, privés et publics de l’éducation et montre que les rendements de l’éducation varient selon les provinces, les filières de formation, le genre et les cohortes d’année de naissance et décroient avec le niveau d’éducation. Dans sa seconde section, le chapitre montre que l’aide financière aux études accroît le rendement des études du baccalauréat de 24.3% et 9.5% respectivement au Québec et en Ontario. Finalement, le chapitre indique qu’un changement du système d’aide financière aux études de Québec par celui de l’Ontario entraîne une baisse de 11.9% du rendement des études au baccalauréat alors qu’un changement du système fiscal québécois par celui ontarien entraine une hausse du rendement du baccalauréat de 4.5%. L’effet combiné du changement des systèmes d’aide financière et fiscal est une baisse du rendement du baccalauréat de 7.4%. Le quatrième chapitre fournit une décomposition comptable détaillée des gains sociaux, privés et publics des investissements en éducation. Le gain social de l’investissement au baccalauréat est de $738 384 au Québec et de $685 437 en Ontario. Ce gain varie selon les filières de formation avec un niveau minimal pour les études humanitaires et un niveau maximal pour les études en ingénierie. Le chapitre montre également que la répartition des bénéfices et des coûts de l’investissement en éducation entre les individus et le gouvernement est plus équitable en Ontario qu’à Québec. En effet, un individu qui investit à Québec supporte 51.6% du coût total et engrange 64.8% des gains alors que le même individu supporterait 62.9% des coûts sociaux et engrangerait 62.2% des gains en Ontario. Finalement, le cinquième chapitre présente et analyse les effets rédistributifs des transferts et des taxes suite à un investissement en éducation. Il examine aussi si l’aide financière aux études est effectivement allouée aux personnes les plus pauvres. L’argument selon lequel l’aide financière est destinée aux plus pauvres est rejeté en analysant la distribution du revenu permanent. En effet, il ressort que 79% des personnes bénéficiant de l’aide financière aux études se trouvent dans le cinquième quintile de la distribution des revenus permanents. Le chapitre montre également que l’investissement en éducation impacte positivement les effets rédistributifs en 2006, 2001 et 1996 et négativement en 1991 et 2011. L’impact est également perceptible sur les composantes de l’effet rédistributif. Toutefois, la sensibilité de l’impact au taux d’actualisation dépend de l’indice utilisé dans l’analyse.

Increasing the power of genome wide association studies in natural populations using repeated measures : evaluation and implementation

1. Genomewide association studies (GWAS) enable detailed dissections of the genetic basis for organisms' ability to adapt to a changing environment. In long-term studies of natural populations, individuals are often marked at one point in their life and then repeatedly recaptured. It is therefore essential that a method for GWAS includes the process of repeated sampling. In a GWAS, the effects of thousands of single-nucleotide polymorphisms (SNPs) need to be fitted and any model development is constrained by the computational requirements. A method is therefore required that can fit a highly hierarchical model and at the same time is computationally fast enough to be useful. 2. Our method fits fixed SNP effects in a linear mixed model that can include both random polygenic effects and permanent environmental effects. In this way, the model can correct for population structure and model repeated measures. The covariance structure of the linear mixed model is first estimated and subsequently used in a generalized least squares setting to fit the SNP effects. The method was evaluated in a simulation study based on observed genotypes from a long-term study of collared flycatchers in Sweden. 3. The method we present here was successful in estimating permanent environmental effects from simulated repeated measures data. Additionally, we found that especially for variable phenotypes having large variation between years, the repeated measurements model has a substantial increase in power compared to a model using average phenotypes as a response. 4. The method is available in the R package RepeatABEL. It increases the power in GWAS having repeated measures, especially for long-term studies of natural populations, and the R implementation is expected to facilitate modelling of longitudinal data for studies of both animal and human populations.

Neuroreceptor availability and cerebral morphology in human obesity

Obesity is a major challenge to human health worldwide. Little is known about the brain mechanisms that are associated with overeating and obesity in humans. In this project, multimodal neuroimaging techniques were utilized to study brain neurotransmission and anatomy in obesity. Bariatric surgery was used as an experimental method for assessing whether the possible differences between obese and non-obese individuals change following the weight loss. This could indicate whether obesity-related altered neurotransmission and cerebral atrophy are recoverable or whether they represent stable individual characteristics. Morbidly obese subjects (BMI ≥ 35 kg/m2) and non-obese control subjects (mean BMI 23 kg/m2) were studied with positron emission tomography (PET) and magnetic resonance imaging (MRI). In the PET studies, focus was put on dopaminergic and opioidergic systems, both of which are crucial in the reward processing. Brain dopamine D2 receptor (D2R) availability was measured using [11C]raclopride and µ-opioid receptor (MOR) availability using [11C]carfentanil. In the MRI studies, voxel-based morphometry (VBM) of T1-weighted MRI images was used, coupled with diffusion tensor imaging (DTI). Obese subjects underwent bariatric surgery as their standard clinical treatment during the study. Preoperatively, morbidly obese subjects had significantly lower MOR availability but unaltered D2R availability in several brain regions involved in reward processing, including striatum, insula, and thalamus. Moreover, obesity disrupted the interaction between the MOR and D2R systems in ventral striatum. Bariatric surgery and concomitant weight loss normalized MOR availability in the obese, but did not influence D2R availability in any brain region. Morbidly obese subjects had also significantly lower grey and white matter densities globally in the brain, but more focal changes were located in the areas associated with inhibitory control, reward processing, and appetite. DTI revealed also signs of axonal damage in the obese in corticospinal tracts and occipito-frontal fascicles. Surgery-induced weight loss resulted in global recovery of white matter density as well as more focal recovery of grey matter density among obese subjects. Altogether these results show that the endogenous opioid system is fundamentally linked to obesity. Lowered MOR availability is likely a consequence of obesity and may mediate maintenance of excessive energy uptake. In addition, obesity has adverse effects on brain structure. Bariatric surgery however reverses MOR dysfunction and recovers cerebral atrophy. Understanding the opioidergic contribution to overeating and obesity is critical for developing new psychological or pharmacological treatments for obesity. The actual molecular mechanisms behind the positive change in structure and neurotransmitter function still remain unclear and should be addressed in the future research.

Tackling trafficking in human beings in a security integrated Europe: addressing the challenges using trafficking schematics

This paper aims to conceptualise trafficking in human beings (THB) as an organised crime by drawing on the rational choice theory. Utilising crime scripting principles, it proposes trafficking schematics to capture and visualise THB in its entirety. Stemming from its transnational nature and varying conceptualisations, combatting THB faces challenges, such as the lack of harmonisation of policy instruments and differing stakeholder agendas. To mitigate these challenges, this paper proposes trafficking schematics. Their core lies in the modelling of THB constituent elements, including stages and their sequence, key actors and relationships, and financial modus operandi. Trafficking schematics may therefore contribute to addressing THB in a holistic, dynamic and integrated way, by enriching stakeholders’ understanding of the phenomenon and facilitating collaboration to address it. The paper contributes to theory and practice by drawing up a model of the procedural, human, logistical and environmental elements of THB that may be viewed as an instrument of public value creation.