Panel and Pooled Data Analysis
Ph.D. -course
- ECTS credits
- 10
- Teaching semesters
- Autumn, Spring
- Course code
- SAMPOL904
- Number of semesters
- 1
- Resources
- Schedule
Course description
Course content
3-days course on panel data and pooled data analysis. With focus on dealing with issues arising from heteroskedasticity, spatial correlation, serial correlation and dynamics. The course will include dealing with cross-sectional, time-series, panel and pooled datya analysis. Non-linear models, interaction effects, parameter instability, instrumental variables and simultaneous equasion models will also be taught.
The course is targeted at social and political scientists as well as economists with average statistical skills with a strong interest in applied empirical research and data analysis.
The focus lies on practical problems of applied data analysis.
Learning outcomes
10 ECTS
Upon successful completion of this course the participants should be able to:
- solve their own estimation problems
- increase the reliability and efficiency of statistical results
- demonstrate knowledge of advanced statistical methods
- present their research paper in publishable format ready for submission to peer revied journal
- evaluate and incorporate reviewers feedback
3 ECTS
Upon successful completion of this course the participants should be able to:
- solve their own estimation problems
- increase the reliability and efficiency of statistical results.
- demonstrate knowledge of advanced statistical methods
Study period
Credits (ECTS)
Course registration and deadlines
Deadline for Course registration is March 1st, 2024.
Participants apply for admission here
Recommended Previous Knowledge
The course requires average skills and knowledge in inferential statistics, including basic understanding of maximum likelihood and generalized linear estimation meth-ods.
In addition, participants should have a basic understanding of matrix algebra and calculus, though the main focus of the course is applied.
In addition, participants are required to be familiar with STATA and its command structure.
Compulsory Requirements
- Attandance at all course days
- Each course participant must familiarise himself/herself with the course literature and overview of lectures before each course day (see separate document).
Form of assessment
10 ECTS:
- 4,000 words research paper.
- Full participation.
3 ECTS:
- Full participation.