POPULATION DYNAMICS AND MIGRATION POLICY

Knowledge and Understanding

Students will demonstrate:

• sound knowledge of the fundamental concepts and statistical terminology of population studies;
• knowledge of the main trends and characteristics of international migration, as well as of the factors underlying changes in migrant populations and their demographic behaviours;
• knowledge of the main dimensions and conditions of migrant integration, with particular attention to differences between first- and second-generation immigrants and to the main demographic implications of naturalisation processes, from an international comparative perspective;
• understanding of the main theoretical approaches and statistical methodological tools used to analyse population structures and dynamics;
• understanding of the principal demographic, socio-economic, and political determinants and consequences of migration at the global, national, and local levels.

Applying Knowledge and Understanding

Students will be able to:

• identify and critically assess the strengths, limitations, and appropriate uses of the main population data sources available at national, European and international levels;
• apply fundamental statistical and demographic principles, methods, and methodological approaches to the analysis of population dynamics, with particular attention to the differences between migrant and native populations;
• analyse and interpret statistical evidence and demographic indicators, relating to migration and migrant populations;
• apply appropriate statistical and demographic tools to identify and interpret patterns and trends in population and migration dynamics across different geographical and comparative contexts.

Making Judgements

Students will develop the ability to critically assess population phenomena by integrating theoretical perspectives, methodological approaches, and empirical evidence. In particular, they will be able to:

• critically evaluate the quality, relevance, and limitations of available demographic data and analytical methods;
• distinguish between empirical evidence, theoretical interpretations, and policy perspectives;
• independently identify and select appropriate analytical approaches to address population, and migration-related questions;
• critically interpret empirical findings while recognising the limitations and assumptions underlying the data and methods employed.

Communication Skills

Students will be able to communicate concepts, methods, and empirical findings in population studies and migration research clearly, accurately, and using appropriate statistical and disciplinary terminology. In particular, they will be able to:

• describe and explain key demographic concepts, theories, and analytical tools using appropriate disciplinary language;
• present and discuss the results of analyses of population and migration dynamics in a clear, coherent, and logically structured manner;
• communicate demographic and migration-related findings appropriately to different audiences, adapting the level of technical detail and terminology to the specific context.

Learning Skills

Students will acquire the methodological skills necessary to independently develop, extend, and update their knowledge of population challenges and migration processes. They will be able to:

• independently identify, consult, and critically assess relevant scientific literature and population data sources;
• evaluate the reliability, relevance, and methodological robustness of different sources of information;
• select and apply appropriate methodological approaches to address specific demographic and migration-related questions;
• use the conceptual knowledge and analytical tools acquired during the course to further academic study and independent research.

The course combines lectures and laboratory activities.

Module-1 (Sessions from 1 to 5): Data

The module introduces the main sources of population data and the functioning of statistical systems at the national and European levels. Students learn to assess the characteristics, potential uses, and limitations of these data sources for analysing population dynamics. Particular attention is paid to harmonization and data quality methods adopted by the European Statistical System. Students are equipped with cutting-edge knowledge and practical skills in the application of advanced techniques and tools to gauge the relevance and accuracy of multi sourced statistics.

Module-2 (Sessions from 6 to 14): Methods

The module introduces data-science methods for the analysis of population dynamics, including population structures, mortality, fertility, and migration. Particular attention is given to data processing, management, and visualisation. Students apply statistical and computational methods to explore and interpret patterns and trends in population change using different types of demographic and spatial data. Students develop empirical applications using statistical software, including Excel, R, and/or Stata.

Module-3 (Sessions from 15 to 18): Migration and policy issues

The module introduces migration, distinguishing between international migration and internal mobility and examining these processes through micro, meso, and macro-level approaches. The main theoretical conceptualisations of migration are presented and critically assessed. Particular attention is given to migration as a fast component of population change at the local level, particularly in the context of ageing societies. Multiregional and multilevel models are applied to analyse migration dynamics and to assess the relative contribution of inertia and period effects.

No formal prerequisites are required. Basic knowledge of statistics and familiarity with quantitative reasoning are useful. The course is designed for students with heterogeneous academic and technical backgrounds. The essential statistical skills required for the course will be introduced at the beginning and progressively developed through practical applications.

Attendance is generally compulsory, in accordance with the partial exemptions provided for under the GLOPEM regulations. Students are encouraged to contact the instructor should specific circumstances or needs require particular arrangements.

The course provides student with methodological tools for understanding and analysing population dynamics, with particular emphasis on the role of both international and internal migration.

Overall, the course aims to enable students to integrate conceptual and theoretical approaches to population studies with empirical models and analytical methods, adopting a comparative perspective. Its specific objective is to develop students’ competencies in the application of statistical models and data analysis methods to interpret demographic dynamics and migration processes. Particular emphasis is placed on the ability on examining migration as a key component of demographic change and on assessing its implications for social and territorial transformations across different geographical scales, from the local and national, to international level.

References

Bloom, D. E, Canning D., Sevilla J. (2003). The Demographic Dividend: A New Perspective on the Economic Consequences of Population Change, Santa Monica, CA: Rand

Lutz W. (Ed.), Amran G., Bélanger A., Conte A., Gailey N., Ghio D., Grapsa E., Jensen K., Loichinger E., Marois G., Muttarak R., Potančoková M., Sabourin P., Stonawski M., (2019), Demographic Scenarios for the EU - Migration, Population and Education, EUR 29739 EN, Publications Office, Luxembourg, 2019, ISBN 978-92-76-03216-8, doi:10.2760/590301, JRC116398.

Livi Bacci, M. (2017). A concise history of world population. John Wiley & Sons.

Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography-Measuring and Modeling population Processes. Blackwell Publishing.

Wunsch G.J., Termote M., (2012). Introduction to Demographic Analysis. Principles and Methods. Springer Book

Selected papers and technical materials provided by the instructor.

Two intermediate assessments are scheduled. The first assessment consists of the application of the methods and models acquired during the course to the analysis and solution of case studies. The assessment requires the use of statistical software.

The second assessment comprises two components: (a) a written component, consisting of a structured paper addressing a population or migration research topic and requiring the application of the analytical models covered in the course; and (b) an oral component, consisting of the presentation and discussion of the written work.

In Italy, grades for individual courses range from 18 (minimum pass) to 30 (maximum). The highest grade may be awarded with lode (cum laude, distinction) for outstanding performance. The scale is not directly convertible to percentages or GPA, but it is roughly comparable to “sufficient–excellent” ranges used internationally.

Analysis of territorial contexts: defining the demographic and socioeconomic characteristics of populations and examining their patterns and dynamics of development through structural indicators, rates, and measures of composition and derivation.

Impact assessment: using official statistics to assess migration trends and simulate the effects of migration policies, including zero-migration scenarios resulting from border closure, in order to evaluate their potential demographic implications for population size and structure.