Universität Wien

400017 SE Introduction to Panel Data Analysis (2018S)

Seminar für DissertantInnen: Methoden

5.00 ECTS (2.00 SWS), SPL 40 - Doktoratsstudium Sozialwissenschaften
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 25.06. 09:30 - 11:30 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Monday 25.06. 14:00 - 16:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Tuesday 26.06. 09:30 - 11:30 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Tuesday 26.06. 14:00 - 16:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Wednesday 27.06. 09:30 - 11:30 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Wednesday 27.06. 14:00 - 16:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Thursday 28.06. 09:30 - 11:30 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Thursday 28.06. 14:00 - 16:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Friday 29.06. 09:30 - 11:30 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Friday 29.06. 14:05 - 16:05 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien

Information

Aims, contents and method of the course

This is an introduction to panel data analysis on an applied level using Stata. The focus
of the course is on data management and analysing micro panel data. The module
will begin by discussing the advantages (and limitations) of panel data, and will show
how to handle and describe a panel dataset. We will then cover linear regression techniques:
fixed and random effects models as well as hybrid models, and simple dynamic
regression models.
Following each lecture, participants will work through practical examples in the computer
lab using the Stata statistical package and diverse datasets, e.g. British Household
Panel Survey and the German Socio Economic Panel. The focus of the module is applied,
but some maths will be used to formalise theoretical concepts. Note that the module
does not cover specific techniques for macro panels (e.g. data on countries over time) or
panels with small numbers of cross-sectional units but many time points.

Assessment and permitted materials

Minimum requirements and assessment criteria

20% participation and 80% take-home exam

Examination topics

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:47