2149 Population, Human Capital and Policy II
Dr. Erich Striessnig
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
14.09.2020 bis 30.09.2020
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Master
Wochentag Datum Uhrzeit Raum
Mittwoch 07.10.2020 09:00 - 12:00 Online-Einheit
Mittwoch 14.10.2020 09:00 - 12:00 Online-Einheit
Mittwoch 21.10.2020 09:00 - 12:00 Online-Einheit
Mittwoch 28.10.2020 09:00 - 12:00 Online-Einheit
Mittwoch 04.11.2020 09:00 - 12:00 Online-Einheit
Mittwoch 11.11.2020 09:00 - 12:00 Online-Einheit
Mittwoch 18.11.2020 09:00 - 12:00 Online-Einheit
Mittwoch 25.11.2020 09:00 - 12:00 Online-Einheit
Mittwoch 02.12.2020 09:00 - 12:00 Online-Einheit
Mittwoch 09.12.2020 09:00 - 12:00 Online-Einheit
Mittwoch 16.12.2020 09:00 - 12:00 Online-Einheit
Mittwoch 23.12.2020 09:00 - 12:00 Online-Einheit
Mittwoch 13.01.2021 09:00 - 12:00 Online-Einheit
Mittwoch 20.01.2021 09:00 - 12:00 Online-Einheit
Mittwoch 27.01.2021 09:00 - 12:00 Online-Einheit

Ablauf der LV bei eingeschränktem Campusbetrieb

The course runs entirely via distance learning, unless the pandemic miraculously disappears and meeting in large groups in small crowded rooms is safe again.

Inhalte der LV

Disclaimer: Due to the COVID-19 pandemic, changes to the course may be necessary at short notice.

If things go as anticipated, this is going to be a hands-on programming course with theoretical modules interspersed in between. Participants’ programming skills will be evaluated at the beginning of the course and depending on existing qualifications, the programming part will be conducted in Excel and VBA or R. Either way, participants will learn how to use basic and advanced spreadsheet/programming techniques to present and analyze demographic data.

More specifically, students will learn some of the key methodologies of population science to study the drivers of demographic change. They will embark on a journey to understand the evolution of populations and their human capital dynamics. We will define future scenarios to project populations forward along the basic dimensions of age and sex. Once this projection model has been explained in its details, we will explore the policy implications of different scenario assumptions.

Lernergebnisse (Learning Outcomes)

After completion of this course, students will be able to

- work with and transform demographic data sets
- calculate and interpret life tables
- apply different demographic techniques using Excel/VBA and/or R
- perform demographic projections applying cohort-component methodology

Regelung zur Anwesenheit

Contents will mostly be taught “live” through one of the common online teaching tools (MS Teams, Zoom – tba) and students are expected to attend those units. Some of the more theoretical contents, though, will be provided as lecture-cast, followed by a Q&A at the beginning of the next live teaching session. Because of the very interactive nature of the course, participants are advised to attend all sessions.


This is an intensive hands-on computer lab course. The screen of the instructor will be shared to be visible to all participants.

There will be a frequent back and forth between the instructor explaining a new concept or method followed by the students implementing this method on their computers. Students will be provided with input data, but will also have to search for their own data on the internet and download it for their calculations. In addition to the regular active participation in class and in group discussions, students will have to deliver a country report in which they demonstrate how they could apply the new methods to actual data

Leistung(en) für eine Beurteilung

1. Demographic country profile (30%); to be presented in class and submitted as a written report. Participants can choose any country except their country of origin. Each country can only be chosen by one participant. Depending on the number of participants, groups of up to three people may be possible.

2. Population projections by age and sex; to be submitted as either an executable R code or an Excel/VBA macro (50%). The goal of this task is to roughly replicate the results according to the UN World Population Prospects.

3. Classroom participation (20%).

Teilnahmevoraussetzung(en) und Vergabe von Wartelistenplätzen

Participation in Course I - Population, Human Capital and Policy



Zuletzt bearbeitet: 05.10.2020