Statistical Sciences

The course introduces the problem of the interrelation between demographic evolution and socio-economic development. The main theoretical models of reference that have conceptualized the relationship between the various quantities are examined. The theme of human capital formation, the relationship between life cycle and economic variables, the link between fertility, mortality, migration and economic variables, the relationship between population aging and the evolution of welfare systems are all addressed. The issue of PDE (Population, Development and Environment) interrelationships is addressed. Individual work on the analysis of the temporal and spatial trends of socio-economic and demographic variables through the adoption of convergence models. Program for attending students 1. Migration and mobility transition: theoretical developments. 2. The economics of population: from classical thought to recent theoretical insights. Population and capital. The reproductive mechanism in theoretical terms. 3. Population aging, social systems, transfer systems. 4. Population, development and environment: theories, concepts, methods. 5. The process of convergence.

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The contents are illustrated through a cycle of 24 lessons (each one 2 hours of lenght). One or two seminars and the presentation by the students of a report on their group activity are foreseen within these lessons. Class attendance, which is not mandatory, is strongly recommended.

Oral Exam The test consists of an oral interview. For attending students, the first question is about the group work conducted on the convergence model. Objectives of each single test The question is not relevant because the test is unique Weight of each paper in the final evaluation The question is not relevant because the evaluation is unique.

The contents are illustrated through a cycle of 24 lessons (each one 2 hours of lenght). One or two seminars and the presentation by the students of a report on their group activity are foreseen within these lessons. Class attendance, which is not mandatory, is strongly recommended.