- Docente: Chiara Puglisi
- Credits: 6
- SSD: SECS-S/04
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)
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from Apr 07, 2025 to May 20, 2025
Learning outcomes
At the end of the course, the student will possess the necessary tools for the use of demographic data and the knowledge of demographic techniques for analysing economic behaviour. In particular, the student is able to - apply demographic information and methods to non-human populations - critically use demographic-social information proposed by international organisations - interpret consumption behaviour through the use of demographic methods.
Course contents
1. Demography and economics: Italian trends and challenges for welfare
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Analysis of the relationship between economic development and demographic dynamics, with reference to Malthus' theories and alternative views of the relationship between economic progress and population.
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Recent trends in Italian demography and consequences from an economic and welfare perspective.
2. Demographic methods for economic analysis and decision making
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Sub-regional and small-area population estimates and forecasts.
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Structural variables and socio-economic behavior.
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The role of territory in decision-making processes: the contribution of geomarketing.
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Demography for the study of business populations.
3. Cases of applied demography
Readings/Bibliography
F. RACIOPPI, G. RIVELLINI, Applied Demography. La Demografia per le aziende e la governante locale, Edizioni Nuova Cultura, 2013.
S. MANZOCCHI, M. R. TESTA, La deriva demografica. Popolazione, economia, società, Introduzione. RIVISTA DI POLITICA ECONOMICA, 2021.
To brush up on basic demographic concepts and tools of analysis, one of the following:
G. DE SANTIS, Demografia, Il Mulino, 2010
G. BLANGIARDO, Elementi di demografia, Il Mulino, 2006
Teaching methods
Lectures with slides and exercises with R program.
Assessment methods
The final examination is written and includes a practical part (exercises to be carried out with R) and a theoretical part (answering open questions).
Teaching tools
During the lectures, the reading of scientific articles on the topics addressed during the course is offered.
Office hours
See the website of Chiara Puglisi
SDGs



This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.