Population models and projections

ldemo2220  2019-2020  Louvain-la-Neuve

Population models and projections
Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Masquelier Bruno;
Language
French
Content

The LDEMO 2220 course is an in-depth introduction to modelling and population projection methods. At the end of this course, students will be able 
- to understand what a demographic model is and provide several illustrations,
- to describe and compare the main models used in demography, which summarize the age distribution of different vital events or the relationships between population structure and movement,
- to carry out population projections with the appropriate tools (Excel spreadsheets and the Spectrum software),
- to understand the influence of changes in the components of population dynamics (fertility, mortality and migration) on population changes (volume and structure) at different geographical levels and time horizons,
- to critically interpret the results of existing population projections.
Topics covered:
- Principles and utility of modelling and simulation in demography.
- Stable populations and their use.    
- Mathematical methods of extrapolation.
- The cohort-component projection method. 
- Mortality modelling and projections: extrapolation of age-specific rates, use of model life tables, Lee and Carter's (1992) method. 
- Fertility modelling and projections: rate extrapolation, use of model fertility schedules, period approach vs. cohort approach. 
- Migration modelling and projections: projections of net migrants, migration rates. 
- Uncertainties in projections: comparison of scenarios, comparison of perspectives of different producers, ex-post analyses.     
- Extensions: multi-state models (household composition, projections by the level of education) and micro-simulation models.
Teaching methods
The course is structured around a project carried out in pairs of students. This project involves the complete realization of a population projection for a country or region, based on a given scenario. Students collect data, develop and apply the appropriate methodology to achieve their objectives. Working sessions are organized to discuss the main orientations for the work, answer specific questions, present and discuss the intermediate results of the project.
Evaluation methods
Students' achievements are assessed on the basis of 
  • Three presentations of intermediate and final results, with the evaluation criteria being clarity of the oral presentation, quality of the slides, link to the content of lectures and the course, quality of the analysis.
  • A complete report to be written by pairs. This involves preparing population projections for the country or region of the selected scenario, comparing the results obtained with several scenarios by varying the assumptions of fertility, mortality and migration, and selecting about five or six scenarios, justifying the different scenarios and comparing the results of the projections with those obtained by other producers (United Nations, statistical office of the selected country, or others). 
Bibliography
D.T. Rowland. Demographic Methods and Concepts. Oxford University Press, 2003
S. Preston, P. Heuveline, et M. Guillot. Demography : Measuring and Modeling Population Processes, Blackwell, 2001
G. Caselli. Projections de mortalité : hypothèses et méthodes. Dans Démographie. Analyse et synthèse, volume V, pages 301-322. INED, 2004.
O. Barsotti et A. Bonaguidi. Hypothèses pour les projections de migration. Dans Démographie. Analyse et synthèse, volume V, pages 329-333. INED, 2004.
E. Van Imhoff et W. Post. Méthodes de micro-simulation pour des projections de population. Population, 4 :889-932, 1997.
Faculty or entity
PSAD


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Statistic: General

Master [120] in Population and Development Studies

Master [120] in Environmental Bioengineering