Life Tables and Population Projections

Faculteit Ruimtelijke Wetenschappen
Jaar 2020/21
Vakcode GEMPST22
Vaknaam Life Tables and Population Projections
Niveau(s) master
Voertaal Engels
Periode semester I b
ECTS 5
Rooster rooster.rug.nl

Uitgebreide vaknaam Life Tables and Population Projections
Leerdoelen (a) describe and discuss the fundamental concepts and ideas behind the life table technique, the population projection methodology, and survival analysis.
(b) independently perform analysis by means of these techniques, using Excel and SPSS.
(c) interpret the most important outcomes of these techniques.
(d) describe and discuss how these techniques can be applied to a whole range of research questions and topics within the social sciences.
Omschrijving The life table technique - in its original application – is used to describe the mortality pattern of a population, and results in the life expectancy. The technique can be generalized and applied to many research topics, such as population health, multi-regional dynamics, labour market demography, etc.
Survival analysis consists in applying the life table technique to individual-level data on life events, which can answer a wide range of questions on the occurrence, timing and likelihood of these events (e.g. marriage, childbearing, migration, labour market, disease career). Clear links with causal modelling exist.
Population projections estimate future population size and structure. Key to population projections is the cohort component method which involves (a) the formulation of assumptions for each of the components, i.e. fertility, mortality and migration, and (b) the implementation of these assumptions using the Leslie model which implies a matrix formulation.
In this course, first the life table technique will be taught, followed by the population projection methodology, and subsequently survival analysis.
Uren per week variabel
Onderwijsvorm Computer practicals, Lectures
Toetsvorm Group assignments, Individual assignments
(All exercises (computer labs) must be submitted in due time and graded as sufficient to be able to submit their assignments. Each assignment needs to be graded as sufficient (min. 5.5). The final grade for the course is the weighted average of the assignments.)
Vaksoort master
Coördinator dr. A.P.P. Remund
Docent(en) dr. M. Boissonneault, PhD. ,dr. A.P.P. Remund ,prof. dr. L.J.G. van Wissen
Verplichte literatuur
Titel Auteur ISBN Prijs
Matrix formulation of population projection with migration. Population Research Centre, Groningen. Wissen, L. van (2006c)
How to estimate net migration in the absence of reliable migration data. Population Research Centre, Groningen. Wissen, L. van (2006b)
Demography: measuring and modelling population processes. Blackwell Publishers.* Preston S.H., P. Heuveline, M. Guillot (2000) 9781557864512 ca. €  35,00
Correcting a mistake in the Preston et al. book. Population Research Centre, Groningen Wissen, L. van (2006a)
Making projection assumptions. Population Research Centre, Groningen. Wissen, L. van (2006d)
Entreevoorwaarden Prerequisites for the course are good command of Excel, and basic command of Stata. It is advised that students complete the Excel tutorials on Nestor (webclass) or provided by Microsoft.
Opmerkingen *This book is also used within the course Working with Data on Population Research. Also on books.google.nl.
20-30 students (based on availability of computers)
Opgenomen in
Opleiding Jaar Periode Type
MSc Cultural Geography  (Optional courses Cultural Geography) 1 semester I b keuze
MSc Economic Geography  (Optional courses Economic Geography) 1 semester I b keuze
MSc Environmental and Infrastructure Planning  (Optional courses EIP) 1 semester I b keuze
MSc Population Studies  (Basic programme Pop Studies) 1 semester I b verplicht
MSc Real Estate Studies  (Optional courses Real Estate Studies) 1 semester I b keuze
MSc Society, Sustainability and Planning  (Optional courses Society, Sustainability and Planning) 1 semester I b keuze
MSc Spatial Sciences (research)  (Optional methodological courses (GERMMETH) year 1 and 2 Spatial Sciences) - semester I b keuze