La presente tesi raggruppa tre contributi che analizzano la partecipazione dei minori ad attività lavorative e scolastiche in Marocco, le variabili correlate con il benessere individuale e le differenze nei livelli salariali in Albania. I tre saggi tentano di fornire analisi empiriche basate sulla letteratura più recente e di contribuire allo sviluppo della metodologia quantitativa più comunemente utilizzata. / The present thesis is a collection of three contributions which investigate children’s schooling and labour participation in Morocco, the correlates of subjective well being and the differences in wage levels in Albania. The papers try to carry out empirical analyses of these issues based on the most recent developments in the relevant literature and to contribute to the empirical methodology commonly used.

This thesis deals with the analysis of brain function in Magnetic Resonance Imaging (MRI) using two sequences: BOLD functional MRI (fMRI) and Arterial Spin Labelling (ASL). In this context, group statistical analyses are of great importance in order to understand the general mechanisms underlying a pathology, but there is also an increasing interest towards patient-specific analyses that draw conclusions at the patient level. Both group and patient-specific analyses are studied in this thesis. We first introduce a group analysis in BOLD fMRI for the study of specific language impairment, a pathology that was very little investigated in neuroimaging. We outline atypical patterns of functional activity and lateralisation in language regions. Then, we move forward to patient-specific analysis. We propose the use of robust estimators to compute cerebral blood flow maps in ASL. Then, we analyse the validity of the assumptions underlying standard statistical analyses in the context of ASL. Finally, we propose a new locally multivariate statistical method based on an a contrario approach and apply it to the detection of atypical patterns of perfusion in ASL and to activation detection in BOLD functional MRI.