| 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. |
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| 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. |
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| 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.) |
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| 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 |
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| 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) |
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| Opgenomen in |
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