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PhD course

Panel and Pooled Data Analysis

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Course description

Course content

5-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

August 15-19, 2022

Credits (ECTS)

10 ECTS including assignment; 3 ECTS for participation

Specific terms

Course registration and deadlines

Deadline for Course registration is June 24th, 2022.

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.

Who may participate

PhD candidates, Post-Docs from University of Bergen, Norway and International PhD candidates.

Additional information

Contact

Administrative responsible: Anna Polster

Academic responsibility

Martin Okolikj, Tor Midtbø

Lecturers

Prof. Dr. Vera E. Troeger

Reading list

See attached syllabus.

Contact

Exam information

Study period

August 15-19, 2022