Table of contents

The course is connected to the following study programs

Teaching language

English.

Learning outcomes

Upon completion of this course the student should:

  • have knowledge of key methods for econometric analysis of various types of data
  • have a deep understanding of the difference between causality and correlation
  • have insight into practical methods for empirical evaluation
  • be able to perform all steps in a professional data analysis
  • be able to interpret and critically evaluate econometric results from one's own and others' analyses
  • be able to present empirical results clearly, structured, and professionally

Contents

As data collection in both the private and public sectors increases, the ability to conduct precise data analyses becomes ever more crucial. This course introduces key econometric methods with a practical focus. Students will learn to conduct data analyses, evaluate others' empirical work, and distinguish between causality and correlation. Necessary econometric theory is introduced continuously throughout the course.

Main areas for the course will be:

  • Linear Multiple Regression: Introduction to regression analysis, and model specification.
  • Hypothesis Testing: Basic principles of statistical significance.
  • Regression with Binary Dependent Variable: Applications with binary outcome variables.
  • Experiments and Quasi-Experiments: Use of experimental designs for causal identification.
  • Panel Data Analysis: Analysis of data combining cross-sectional and time-series data.
  • Diff-in-Diff: Evaluation of the effects of political and economic interventions.
  • Instrumental Variables: Methods for addressing endogeneity issues and identifying causal effects.
  • Introduction to Big Data: Use and exploitation of large datasets in econometric analyses.

Teaching and learning methods

Lectures, seminars, group work for practical problem solving in MyLabindividual work. Estimated workload is about 200 hours.

Examination requirements

  • Approved one compulsory written assignment.
  • Approved one oral presentation.

More information in Canvas at the start of the semester.

Examinations

4-hour individual written examination under supervision. Assessment expression: letter grades, A-F.

Student evaluation

The person responsible for the course, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.

Offered as a free-standing course

No.
Last updated from FS (Felles studentsystem) Oct. 15, 2026 1:52:40 PM